[{"issue":"6","language":[{"iso":"eng"}],"keyword":["Cancer Research","Genetics (clinical)","Genetics","Molecular Biology","Ecology","Evolution","Behavior and Systematics"],"quality_controlled":"1","doi":"10.1371/journal.pgen.1008894","publication_identifier":{"issn":["1553-7404"]},"article_type":"original","scopus_import":"1","article_processing_charge":"No","publication":"PLOS Genetics","department":[{"_id":"XiFe"}],"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Public Library of Science (PLoS)","article_number":"e1008894","title":"AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization","day":"29","author":[{"first_name":"Nicolas","last_name":"Christophorou","full_name":"Christophorou, Nicolas"},{"full_name":"She, Wenjing","first_name":"Wenjing","last_name":"She"},{"last_name":"Long","first_name":"Jincheng","full_name":"Long, Jincheng"},{"full_name":"Hurel, Aurélie","last_name":"Hurel","first_name":"Aurélie"},{"last_name":"Beaubiat","first_name":"Sébastien","full_name":"Beaubiat, Sébastien"},{"last_name":"Idir","first_name":"Yassir","full_name":"Idir, Yassir"},{"full_name":"Tagliaro-Jahns, Marina","first_name":"Marina","last_name":"Tagliaro-Jahns"},{"first_name":"Aurélie","last_name":"Chambon","full_name":"Chambon, Aurélie"},{"full_name":"Solier, Victor","first_name":"Victor","last_name":"Solier"},{"first_name":"Daniel","last_name":"Vezon","full_name":"Vezon, Daniel"},{"first_name":"Mathilde","last_name":"Grelon","full_name":"Grelon, Mathilde"},{"full_name":"Feng, Xiaoqi","orcid":"0000-0002-4008-1234","id":"e0164712-22ee-11ed-b12a-d80fcdf35958","first_name":"Xiaoqi","last_name":"Feng"},{"first_name":"Nicolas","last_name":"Bouché","full_name":"Bouché, Nicolas"},{"first_name":"Christine","last_name":"Mézard","full_name":"Mézard, Christine"}],"citation":{"ista":"Christophorou N, She W, Long J, Hurel A, Beaubiat S, Idir Y, Tagliaro-Jahns M, Chambon A, Solier V, Vezon D, Grelon M, Feng X, Bouché N, Mézard C. 2020. AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization. PLOS Genetics. 16(6), e1008894.","mla":"Christophorou, Nicolas, et al. “AXR1 Affects DNA Methylation Independently of Its Role in Regulating Meiotic Crossover Localization.” <i>PLOS Genetics</i>, vol. 16, no. 6, e1008894, Public Library of Science (PLoS), 2020, doi:<a href=\"https://doi.org/10.1371/journal.pgen.1008894\">10.1371/journal.pgen.1008894</a>.","apa":"Christophorou, N., She, W., Long, J., Hurel, A., Beaubiat, S., Idir, Y., … Mézard, C. (2020). AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization. <i>PLOS Genetics</i>. Public Library of Science (PLoS). <a href=\"https://doi.org/10.1371/journal.pgen.1008894\">https://doi.org/10.1371/journal.pgen.1008894</a>","ama":"Christophorou N, She W, Long J, et al. AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization. <i>PLOS Genetics</i>. 2020;16(6). doi:<a href=\"https://doi.org/10.1371/journal.pgen.1008894\">10.1371/journal.pgen.1008894</a>","short":"N. Christophorou, W. She, J. Long, A. Hurel, S. Beaubiat, Y. Idir, M. Tagliaro-Jahns, A. Chambon, V. Solier, D. Vezon, M. Grelon, X. Feng, N. Bouché, C. Mézard, PLOS Genetics 16 (2020).","ieee":"N. Christophorou <i>et al.</i>, “AXR1 affects DNA methylation independently of its role in regulating meiotic crossover localization,” <i>PLOS Genetics</i>, vol. 16, no. 6. Public Library of Science (PLoS), 2020.","chicago":"Christophorou, Nicolas, Wenjing She, Jincheng Long, Aurélie Hurel, Sébastien Beaubiat, Yassir Idir, Marina Tagliaro-Jahns, et al. “AXR1 Affects DNA Methylation Independently of Its Role in Regulating Meiotic Crossover Localization.” <i>PLOS Genetics</i>. Public Library of Science (PLoS), 2020. <a href=\"https://doi.org/10.1371/journal.pgen.1008894\">https://doi.org/10.1371/journal.pgen.1008894</a>."},"intvolume":"        16","extern":"1","external_id":{"pmid":["32598340"]},"status":"public","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351236/","open_access":"1"}],"date_published":"2020-06-29T00:00:00Z","oa":1,"publication_status":"published","_id":"12189","year":"2020","acknowledgement":"The authors wish to thank Cécile Raynaud, Eric Jenczewski, Rajeev Kumar, Raphaël Mercier and Jean Molinier for critical reading of the manuscript.","date_created":"2023-01-16T09:16:10Z","volume":16,"type":"journal_article","oa_version":"Published Version","month":"06","abstract":[{"lang":"eng","text":"Meiotic crossovers (COs) are important for reshuffling genetic information between homologous chromosomes and they are essential for their correct segregation. COs are unevenly distributed along chromosomes and the underlying mechanisms controlling CO localization are not well understood. We previously showed that meiotic COs are mis-localized in the absence of AXR1, an enzyme involved in the neddylation/rubylation protein modification pathway in Arabidopsis thaliana. Here, we report that in axr1-/-, male meiocytes show a strong defect in chromosome pairing whereas the formation of the telomere bouquet is not affected. COs are also redistributed towards subtelomeric chromosomal ends where they frequently form clusters, in contrast to large central regions depleted in recombination. The CO suppressed regions correlate with DNA hypermethylation of transposable elements (TEs) in the CHH context in axr1-/- meiocytes. Through examining somatic methylomes, we found axr1-/- affects DNA methylation in a plant, causing hypermethylation in all sequence contexts (CG, CHG and CHH) in TEs. Impairment of the main pathways involved in DNA methylation is epistatic over axr1-/- for DNA methylation in somatic cells but does not restore regular chromosome segregation during meiosis. Collectively, our findings reveal that the neddylation pathway not only regulates hormonal perception and CO distribution but is also, directly or indirectly, a major limiting pathway of TE DNA methylation in somatic cells."}],"date_updated":"2023-05-08T10:54:39Z"},{"abstract":[{"text":"Let  be a sequence of points on an elliptic curve defined over a number field K. In this paper, we study the denominators of the x-coordinates of this sequence. We prove that, if Q is a torsion point of prime order, then for n large enough there always exists a primitive divisor. Later on, we show the link between the study of the primitive divisors and a Lang-Trotter conjecture. Indeed, given two points P and Q on the elliptic curve, we prove a lower bound for the number of primes p such that P is in the orbit of Q modulo p.","lang":"eng"}],"date_updated":"2023-05-10T11:14:56Z","month":"04","oa_version":"Preprint","type":"journal_article","page":"378-390","date_created":"2023-01-16T11:45:07Z","volume":209,"year":"2020","_id":"12310","publication_status":"published","oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1906.00632"}],"date_published":"2020-04-01T00:00:00Z","status":"public","external_id":{"arxiv":["1906.00632"]},"citation":{"ieee":"M. Verzobio, “Primitive divisors of sequences associated to elliptic curves,” <i>Journal of Number Theory</i>, vol. 209, no. 4. Elsevier, pp. 378–390, 2020.","chicago":"Verzobio, Matteo. “Primitive Divisors of Sequences Associated to Elliptic Curves.” <i>Journal of Number Theory</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.jnt.2019.09.003\">https://doi.org/10.1016/j.jnt.2019.09.003</a>.","short":"M. Verzobio, Journal of Number Theory 209 (2020) 378–390.","ama":"Verzobio M. Primitive divisors of sequences associated to elliptic curves. <i>Journal of Number Theory</i>. 2020;209(4):378-390. doi:<a href=\"https://doi.org/10.1016/j.jnt.2019.09.003\">10.1016/j.jnt.2019.09.003</a>","ista":"Verzobio M. 2020. Primitive divisors of sequences associated to elliptic curves. Journal of Number Theory. 209(4), 378–390.","mla":"Verzobio, Matteo. “Primitive Divisors of Sequences Associated to Elliptic Curves.” <i>Journal of Number Theory</i>, vol. 209, no. 4, Elsevier, 2020, pp. 378–90, doi:<a href=\"https://doi.org/10.1016/j.jnt.2019.09.003\">10.1016/j.jnt.2019.09.003</a>.","apa":"Verzobio, M. (2020). Primitive divisors of sequences associated to elliptic curves. <i>Journal of Number Theory</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jnt.2019.09.003\">https://doi.org/10.1016/j.jnt.2019.09.003</a>"},"extern":"1","intvolume":"       209","day":"01","author":[{"id":"7aa8f170-131e-11ed-88e1-a9efd01027cb","orcid":"0000-0002-0854-0306","full_name":"Verzobio, Matteo","first_name":"Matteo","last_name":"Verzobio"}],"arxiv":1,"title":"Primitive divisors of sequences associated to elliptic curves","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Elsevier","scopus_import":"1","article_processing_charge":"No","article_type":"original","publication":"Journal of Number Theory","publication_identifier":{"issn":["0022-314X"]},"quality_controlled":"1","doi":"10.1016/j.jnt.2019.09.003","language":[{"iso":"eng"}],"issue":"4","keyword":["Algebra and Number Theory"]},{"doi":"10.1038/s41561-020-0615-0","quality_controlled":"1","publication_identifier":{"issn":["1752-0894"],"eissn":["1752-0908"]},"keyword":["General Earth and Planetary Sciences"],"language":[{"iso":"eng"}],"issue":"9","title":"The state of rock debris covering Earth’s glaciers","author":[{"first_name":"Sam","last_name":"Herreid","full_name":"Herreid, Sam"},{"id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca","last_name":"Pellicciotti","first_name":"Francesca"}],"day":"02","publication":"Nature Geoscience","article_processing_charge":"No","scopus_import":"1","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Springer Nature","date_published":"2020-09-02T00:00:00Z","publication_status":"published","intvolume":"        13","related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1038/s41561-020-0630-1"}]},"extern":"1","citation":{"chicago":"Herreid, Sam, and Francesca Pellicciotti. “The State of Rock Debris Covering Earth’s Glaciers.” <i>Nature Geoscience</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1038/s41561-020-0615-0\">https://doi.org/10.1038/s41561-020-0615-0</a>.","ieee":"S. Herreid and F. Pellicciotti, “The state of rock debris covering Earth’s glaciers,” <i>Nature Geoscience</i>, vol. 13, no. 9. Springer Nature, pp. 621–627, 2020.","short":"S. Herreid, F. Pellicciotti, Nature Geoscience 13 (2020) 621–627.","ama":"Herreid S, Pellicciotti F. The state of rock debris covering Earth’s glaciers. <i>Nature Geoscience</i>. 2020;13(9):621-627. doi:<a href=\"https://doi.org/10.1038/s41561-020-0615-0\">10.1038/s41561-020-0615-0</a>","apa":"Herreid, S., &#38; Pellicciotti, F. (2020). The state of rock debris covering Earth’s glaciers. <i>Nature Geoscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41561-020-0615-0\">https://doi.org/10.1038/s41561-020-0615-0</a>","mla":"Herreid, Sam, and Francesca Pellicciotti. “The State of Rock Debris Covering Earth’s Glaciers.” <i>Nature Geoscience</i>, vol. 13, no. 9, Springer Nature, 2020, pp. 621–27, doi:<a href=\"https://doi.org/10.1038/s41561-020-0615-0\">10.1038/s41561-020-0615-0</a>.","ista":"Herreid S, Pellicciotti F. 2020. The state of rock debris covering Earth’s glaciers. Nature Geoscience. 13(9), 621–627."},"status":"public","volume":13,"date_created":"2023-02-20T08:12:17Z","page":"621-627","abstract":[{"text":"Rock debris can accumulate on glacier surfaces and dramatically reduce glacier melt. The structure of a debris cover is unique to each glacier and sensitive to climate. Despite this, debris cover has been omitted from global glacier models and forecasts of their response to a changing climate. Fundamental to resolving these omissions is a global map of debris cover and an estimate of its future spatial evolution. Here we use Landsat imagery and a detailed correction to the Randolph Glacier Inventory to show that 7.3% of mountain glacier area is debris covered and over half of Earth’s debris is concentrated in three regions: Alaska (38.6% of total debris-covered area), Southwest Asia (12.6%) and Greenland (12.0%). We use a set of new metrics, which include stage, the current position of a glacier on its trajectory towards reaching its spatial carrying capacity of debris cover, to quantify the state of glaciers. Debris cover is present on 44% of Earth’s glaciers and prominent (>1.0 km2) on 15%. Of Earth’s glaciers, 20% have a substantial percentage of debris cover for which the net stage is 36% and the bulk of individual glaciers have evolved beyond an optimal moraine configuration favourable for debris-cover expansion. Use of this dataset in global-scale models will enable improved estimates of melt over 10.6% of the global glacier domain.","lang":"eng"}],"date_updated":"2023-02-28T12:45:37Z","type":"journal_article","month":"09","oa_version":"None","_id":"12593","year":"2020"},{"doi":"10.1029/2020wr027188","quality_controlled":"1","publication_identifier":{"issn":["0043-1397"],"eissn":["1944-7973"]},"keyword":["Water Science and Technology"],"issue":"8","language":[{"iso":"eng"}],"article_number":"e2020WR027188","title":"The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment","author":[{"last_name":"Shaw","first_name":"Thomas E.","full_name":"Shaw, Thomas E."},{"full_name":"Caro, Alexis","last_name":"Caro","first_name":"Alexis"},{"first_name":"Pablo","last_name":"Mendoza","full_name":"Mendoza, Pablo"},{"first_name":"Álvaro","last_name":"Ayala","full_name":"Ayala, Álvaro"},{"first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"},{"full_name":"Gascoin, Simon","last_name":"Gascoin","first_name":"Simon"},{"full_name":"McPhee, James","last_name":"McPhee","first_name":"James"}],"day":"01","publication":"Water Resources Research","article_type":"original","article_processing_charge":"No","scopus_import":"1","publisher":"American Geophysical Union","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-08-01T00:00:00Z","main_file_link":[{"url":"https://doi.org/10.1029/2020WR027188","open_access":"1"}],"publication_status":"published","oa":1,"extern":"1","intvolume":"        56","citation":{"apa":"Shaw, T. E., Caro, A., Mendoza, P., Ayala, Á., Pellicciotti, F., Gascoin, S., &#38; McPhee, J. (2020). The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment. <i>Water Resources Research</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2020wr027188\">https://doi.org/10.1029/2020wr027188</a>","ista":"Shaw TE, Caro A, Mendoza P, Ayala Á, Pellicciotti F, Gascoin S, McPhee J. 2020. The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment. Water Resources Research. 56(8), e2020WR027188.","mla":"Shaw, Thomas E., et al. “The Utility of Optical Satellite Winter Snow Depths for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean Catchment.” <i>Water Resources Research</i>, vol. 56, no. 8, e2020WR027188, American Geophysical Union, 2020, doi:<a href=\"https://doi.org/10.1029/2020wr027188\">10.1029/2020wr027188</a>.","ama":"Shaw TE, Caro A, Mendoza P, et al. The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment. <i>Water Resources Research</i>. 2020;56(8). doi:<a href=\"https://doi.org/10.1029/2020wr027188\">10.1029/2020wr027188</a>","short":"T.E. Shaw, A. Caro, P. Mendoza, Á. Ayala, F. Pellicciotti, S. Gascoin, J. McPhee, Water Resources Research 56 (2020).","chicago":"Shaw, Thomas E., Alexis Caro, Pablo Mendoza, Álvaro Ayala, Francesca Pellicciotti, Simon Gascoin, and James McPhee. “The Utility of Optical Satellite Winter Snow Depths for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean Catchment.” <i>Water Resources Research</i>. American Geophysical Union, 2020. <a href=\"https://doi.org/10.1029/2020wr027188\">https://doi.org/10.1029/2020wr027188</a>.","ieee":"T. E. Shaw <i>et al.</i>, “The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment,” <i>Water Resources Research</i>, vol. 56, no. 8. American Geophysical Union, 2020."},"status":"public","volume":56,"date_created":"2023-02-20T08:12:22Z","type":"journal_article","oa_version":"Published Version","month":"08","date_updated":"2023-02-28T12:41:45Z","abstract":[{"lang":"eng","text":"Information about end-of-winter spatial distribution of snow depth is important for seasonal forecasts of spring/summer streamflow in high-mountain regions. Nevertheless, such information typically relies upon extrapolation from a sparse network of observations at low elevations. Here, we test the potential of high-resolution snow depth data derived from optical stereophotogrammetry of Pléiades satellites for improving the representation of snow depth initial conditions (SDICs) in a glacio-hydrological model and assess potential improvements in the skill of snowmelt and streamflow simulations in a high-elevation Andean catchment. We calibrate model parameters controlling glacier mass balance and snow cover evolution using ground-based and satellite observations, and consider the relative importance of accurate estimates of SDICs compared to model parameters and forcings. We find that Pléiades SDICs improve the simulation of snow-covered area, glacier mass balance, and monthly streamflow compared to alternative SDICs based upon extrapolation of meteorological variables or statistical methods to estimate SDICs based upon topography. Model simulations are found to be sensitive to SDICs in the early spring (up to 48% variability in modeled streamflow compared to the best estimate model), and to temperature gradients in all months that control albedo and melt rates over a large elevation range (>2,400 m). As such, appropriately characterizing the distribution of total snow volume with elevation is important for reproducing total streamflow and the proportions of snowmelt. Therefore, optical stereo-photogrammetry offers an advantage for obtaining SDICs that aid both the timing and magnitude of streamflow simulations, process representation (e.g., snow cover evolution) and has the potential for large spatial domains."}],"_id":"12594","year":"2020"},{"publication_status":"published","oa":1,"main_file_link":[{"url":"https://doi.org/10.3390/rs12152389","open_access":"1"}],"date_published":"2020-07-24T00:00:00Z","status":"public","citation":{"short":"W. Yang, C. Zhao, M. Westoby, T. Yao, Y. Wang, F. Pellicciotti, J. Zhou, Z. He, E. Miles, Remote Sensing 12 (2020).","ieee":"W. Yang <i>et al.</i>, “Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements,” <i>Remote Sensing</i>, vol. 12, no. 15. MDPI, 2020.","chicago":"Yang, Wei, Chuanxi Zhao, Matthew Westoby, Tandong Yao, Yongjie Wang, Francesca Pellicciotti, Jianmin Zhou, Zhen He, and Evan Miles. “Seasonal Dynamics of a Temperate Tibetan Glacier Revealed by High-Resolution UAV Photogrammetry and in Situ Measurements.” <i>Remote Sensing</i>. MDPI, 2020. <a href=\"https://doi.org/10.3390/rs12152389\">https://doi.org/10.3390/rs12152389</a>.","mla":"Yang, Wei, et al. “Seasonal Dynamics of a Temperate Tibetan Glacier Revealed by High-Resolution UAV Photogrammetry and in Situ Measurements.” <i>Remote Sensing</i>, vol. 12, no. 15, 2389, MDPI, 2020, doi:<a href=\"https://doi.org/10.3390/rs12152389\">10.3390/rs12152389</a>.","ista":"Yang W, Zhao C, Westoby M, Yao T, Wang Y, Pellicciotti F, Zhou J, He Z, Miles E. 2020. Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. Remote Sensing. 12(15), 2389.","apa":"Yang, W., Zhao, C., Westoby, M., Yao, T., Wang, Y., Pellicciotti, F., … Miles, E. (2020). Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. <i>Remote Sensing</i>. MDPI. <a href=\"https://doi.org/10.3390/rs12152389\">https://doi.org/10.3390/rs12152389</a>","ama":"Yang W, Zhao C, Westoby M, et al. Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. <i>Remote Sensing</i>. 2020;12(15). doi:<a href=\"https://doi.org/10.3390/rs12152389\">10.3390/rs12152389</a>"},"intvolume":"        12","extern":"1","type":"journal_article","month":"07","oa_version":"Published Version","abstract":[{"text":"The seasonal dynamic changes of Tibetan glaciers have seen little prior investigation, despite the increase in geodetic studies of multi-year changes. This study compares seasonal glacier dynamics (“cold” and “warm” seasons) in the ablation zone of Parlung No. 4 Glacier, a temperate glacier in the monsoon-influenced southeastern Tibetan Plateau, by using repeat unpiloted aerial vehicle (UAV) surveys combined with Structure-from-Motion (SfM) photogrammetry and ground stake measurements. Our results showed that the surveyed ablation zone had a mean change of −2.7 m of ice surface elevation during the period of September 2018 to October 2019 but is characterized by significant seasonal cyclic variations with ice surface elevation lifting (+2.0 m) in the cold season (September 2018 to June 2019) but lowering (−4.7 m) in the warm season (June 2019 to October 2019). Over an annual timescale, surface lowering was greatly suppressed by the resupply of ice from the glacier’s accumulation area—the annual emergence velocity compensates for about 55% of surface ablation in our study area. Cold season emergence velocities (3.0 ± 1.2 m) were ~5-times larger than those observed in the warm season (0.6 ± 1.0 m). Distinct spring precipitation patterns may contribute to these distinct seasonal signals. Such seasonal dynamic conditions are possibly critical for different glacier responses to climate change in this region of the Tibetan Plateau, and perhaps further afield.","lang":"eng"}],"date_updated":"2023-02-28T12:36:22Z","date_created":"2023-02-20T08:12:29Z","volume":12,"year":"2020","_id":"12595","publication_identifier":{"issn":["2072-4292"]},"quality_controlled":"1","doi":"10.3390/rs12152389","issue":"15","language":[{"iso":"eng"}],"day":"24","author":[{"last_name":"Yang","first_name":"Wei","full_name":"Yang, Wei"},{"last_name":"Zhao","first_name":"Chuanxi","full_name":"Zhao, Chuanxi"},{"first_name":"Matthew","last_name":"Westoby","full_name":"Westoby, Matthew"},{"full_name":"Yao, Tandong","first_name":"Tandong","last_name":"Yao"},{"full_name":"Wang, Yongjie","first_name":"Yongjie","last_name":"Wang"},{"first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"},{"full_name":"Zhou, Jianmin","last_name":"Zhou","first_name":"Jianmin"},{"full_name":"He, Zhen","last_name":"He","first_name":"Zhen"},{"first_name":"Evan","last_name":"Miles","full_name":"Miles, Evan"}],"article_number":"2389","title":"Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements","publisher":"MDPI","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","scopus_import":"1","article_processing_charge":"No","publication":"Remote Sensing"},{"title":"Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile","day":"24","author":[{"full_name":"Ayala, Álvaro","last_name":"Ayala","first_name":"Álvaro"},{"first_name":"David","last_name":"Farías-Barahona","full_name":"Farías-Barahona, David"},{"full_name":"Huss, Matthias","first_name":"Matthias","last_name":"Huss"},{"last_name":"Pellicciotti","first_name":"Francesca","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"},{"first_name":"James","last_name":"McPhee","full_name":"McPhee, James"},{"full_name":"Farinotti, Daniel","first_name":"Daniel","last_name":"Farinotti"}],"article_type":"original","scopus_import":"1","article_processing_charge":"No","publication":"The Cryosphere","publisher":"Copernicus Publications","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","doi":"10.5194/tc-14-2005-2020","publication_identifier":{"issn":["1994-0424"]},"issue":"6","language":[{"iso":"eng"}],"keyword":["Earth-Surface Processes","Water Science and Technology"],"date_created":"2023-02-20T08:12:36Z","volume":14,"type":"journal_article","month":"06","oa_version":"Published Version","abstract":[{"text":"As glaciers adjust their size in response to climate variations, long-term changes in meltwater production can be expected, affecting the local availability of water resources. We investigate glacier runoff in the period 1955–2016 in the Maipo River basin (4843 km2, 33.0–34.3∘ S, 69.8–70.5∘ W), in the semiarid Andes of Chile. The basin contains more than 800 glaciers, which cover 378 km2 in total (inventoried in 2000). We model the mass balance and runoff contribution of 26 glaciers with the physically oriented and fully distributed TOPKAPI (Topographic Kinematic Approximation and Integration)-ETH glacio-hydrological model and extrapolate the results to the entire basin. TOPKAPI-ETH is run at a daily time step using several glaciological and meteorological datasets, and its results are evaluated against streamflow records, remotely sensed snow cover, and geodetic mass balances for the periods 1955–2000 and 2000–2013. Results show that in 1955–2016 glacier mass balance had a general decreasing trend as a basin average but also had differences between the main sub-catchments. Glacier volume decreased by one-fifth (from 18.6±4.5 to 14.9±2.9 km3). Runoff from the initially glacierized areas was 177±25 mm yr−1 (16±7 % of the total contributions to the basin), but it shows a decreasing sequence of maxima, which can be linked to the interplay between a decrease in precipitation since the 1980s and the reduction of ice melt. Glaciers in the Maipo River basin will continue retreating because they are not in equilibrium with the current climate. In a hypothetical constant climate scenario, glacier volume would reduce to 81±38 % of the year 2000 volume, and glacier runoff would be 78±30 % of the 1955–2016 average. This would considerably decrease the drought mitigation capacity of the basin.","lang":"eng"}],"date_updated":"2023-02-28T12:32:31Z","page":"2005-2027","_id":"12596","year":"2020","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5194/tc-14-2005-2020"}],"date_published":"2020-06-24T00:00:00Z","oa":1,"publication_status":"published","citation":{"ista":"Ayala Á, Farías-Barahona D, Huss M, Pellicciotti F, McPhee J, Farinotti D. 2020. Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile. The Cryosphere. 14(6), 2005–2027.","mla":"Ayala, Álvaro, et al. “Glacier Runoff Variations since 1955 in the Maipo River Basin, in the Semiarid Andes of Central Chile.” <i>The Cryosphere</i>, vol. 14, no. 6, Copernicus Publications, 2020, pp. 2005–27, doi:<a href=\"https://doi.org/10.5194/tc-14-2005-2020\">10.5194/tc-14-2005-2020</a>.","apa":"Ayala, Á., Farías-Barahona, D., Huss, M., Pellicciotti, F., McPhee, J., &#38; Farinotti, D. (2020). Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile. <i>The Cryosphere</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/tc-14-2005-2020\">https://doi.org/10.5194/tc-14-2005-2020</a>","ama":"Ayala Á, Farías-Barahona D, Huss M, Pellicciotti F, McPhee J, Farinotti D. Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile. <i>The Cryosphere</i>. 2020;14(6):2005-2027. doi:<a href=\"https://doi.org/10.5194/tc-14-2005-2020\">10.5194/tc-14-2005-2020</a>","short":"Á. Ayala, D. Farías-Barahona, M. Huss, F. Pellicciotti, J. McPhee, D. Farinotti, The Cryosphere 14 (2020) 2005–2027.","ieee":"Á. Ayala, D. Farías-Barahona, M. Huss, F. Pellicciotti, J. McPhee, and D. Farinotti, “Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile,” <i>The Cryosphere</i>, vol. 14, no. 6. Copernicus Publications, pp. 2005–2027, 2020.","chicago":"Ayala, Álvaro, David Farías-Barahona, Matthias Huss, Francesca Pellicciotti, James McPhee, and Daniel Farinotti. “Glacier Runoff Variations since 1955 in the Maipo River Basin, in the Semiarid Andes of Central Chile.” <i>The Cryosphere</i>. Copernicus Publications, 2020. <a href=\"https://doi.org/10.5194/tc-14-2005-2020\">https://doi.org/10.5194/tc-14-2005-2020</a>."},"extern":"1","intvolume":"        14","status":"public"},{"extern":"1","intvolume":"        66","citation":{"ama":"Troxler P, Ayala Á, Shaw TE, Nolan M, Brock BW, Pellicciotti F. Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska. <i>Journal of Glaciology</i>. 2020;66(257):386-400. doi:<a href=\"https://doi.org/10.1017/jog.2020.12\">10.1017/jog.2020.12</a>","apa":"Troxler, P., Ayala, Á., Shaw, T. E., Nolan, M., Brock, B. W., &#38; Pellicciotti, F. (2020). Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska. <i>Journal of Glaciology</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/jog.2020.12\">https://doi.org/10.1017/jog.2020.12</a>","ista":"Troxler P, Ayala Á, Shaw TE, Nolan M, Brock BW, Pellicciotti F. 2020. Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska. Journal of Glaciology. 66(257), 386–400.","mla":"Troxler, Patrick, et al. “Modelling Spatial Patterns of Near-Surface Air Temperature over a Decade of Melt Seasons on McCall Glacier, Alaska.” <i>Journal of Glaciology</i>, vol. 66, no. 257, Cambridge University Press, 2020, pp. 386–400, doi:<a href=\"https://doi.org/10.1017/jog.2020.12\">10.1017/jog.2020.12</a>.","chicago":"Troxler, Patrick, Álvaro Ayala, Thomas E. Shaw, Matt Nolan, Ben W. Brock, and Francesca Pellicciotti. “Modelling Spatial Patterns of Near-Surface Air Temperature over a Decade of Melt Seasons on McCall Glacier, Alaska.” <i>Journal of Glaciology</i>. Cambridge University Press, 2020. <a href=\"https://doi.org/10.1017/jog.2020.12\">https://doi.org/10.1017/jog.2020.12</a>.","ieee":"P. Troxler, Á. Ayala, T. E. Shaw, M. Nolan, B. W. Brock, and F. Pellicciotti, “Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska,” <i>Journal of Glaciology</i>, vol. 66, no. 257. Cambridge University Press, pp. 386–400, 2020.","short":"P. Troxler, Á. Ayala, T.E. Shaw, M. Nolan, B.W. Brock, F. Pellicciotti, Journal of Glaciology 66 (2020) 386–400."},"status":"public","date_published":"2020-06-01T00:00:00Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1017/jog.2020.12"}],"publication_status":"published","oa":1,"_id":"12597","year":"2020","volume":66,"date_created":"2023-02-20T08:12:42Z","page":"386-400","abstract":[{"text":"We examine the spatial patterns of near-surface air temperature (Ta) over a melting glacier using a multi-annual dataset from McCall Glacier, Alaska. The dataset consists of a 10-year (2005–2014) meteorological record along the glacier centreline up to an upper glacier cirque, spanning an elevation difference of 900 m. We test the validity of on-glacier linear lapse rates, and a model that calculates Ta based on the influence of katabatic winds and other heat sources along the glacier flow line. During the coldest hours of each summer (10% of time), average lapse rates across the entire glacier range from −4.7 to −6.7°C km−1, with a strong relationship between Ta and elevation (R2 > 0.7). During warm conditions, Ta shows more complex, non-linear patterns that are better explained by the flow line-dependent model, reducing errors by up to 0.5°C compared with linear lapse rates, although more uncertainty might be associated with these observations due to occasionally poor sensor ventilation. We conclude that Ta spatial distribution can vary significantly from year to year, and from one glacier section to another. Importantly, extrapolations using linear lapse rates from the ablation zone might lead to large underestimations of Ta on the upper glacier areas.","lang":"eng"}],"date_updated":"2023-02-28T12:28:45Z","month":"06","type":"journal_article","oa_version":"Published Version","keyword":["Earth-Surface Processes"],"language":[{"iso":"eng"}],"issue":"257","doi":"10.1017/jog.2020.12","quality_controlled":"1","publication_identifier":{"issn":["0022-1430"],"eissn":["1727-5652"]},"publication":"Journal of Glaciology","article_processing_charge":"No","scopus_import":"1","article_type":"original","publisher":"Cambridge University Press","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska","author":[{"full_name":"Troxler, Patrick","first_name":"Patrick","last_name":"Troxler"},{"first_name":"Álvaro","last_name":"Ayala","full_name":"Ayala, Álvaro"},{"last_name":"Shaw","first_name":"Thomas E.","full_name":"Shaw, Thomas E."},{"full_name":"Nolan, Matt","first_name":"Matt","last_name":"Nolan"},{"first_name":"Ben W.","last_name":"Brock","full_name":"Brock, Ben W."},{"last_name":"Pellicciotti","first_name":"Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"}],"day":"01"},{"day":"01","author":[{"first_name":"Thomas E.","last_name":"Shaw","full_name":"Shaw, Thomas E."},{"full_name":"Gascoin, Simon","last_name":"Gascoin","first_name":"Simon"},{"full_name":"Mendoza, Pablo A.","last_name":"Mendoza","first_name":"Pablo A."},{"id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca","last_name":"Pellicciotti","first_name":"Francesca"},{"first_name":"James","last_name":"McPhee","full_name":"McPhee, James"}],"article_number":"e2019WR024880","title":"Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing","publisher":"American Geophysical Union","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","scopus_import":"1","article_processing_charge":"No","publication":"Water Resources Research","publication_identifier":{"issn":["0043-1397"],"eissn":["1944-7973"]},"quality_controlled":"1","doi":"10.1029/2019wr024880","issue":"2","language":[{"iso":"eng"}],"keyword":["Water Science and Technology"],"type":"journal_article","oa_version":"Published Version","month":"02","date_updated":"2023-02-28T12:26:14Z","abstract":[{"lang":"eng","text":"Obtaining detailed information about high mountain snowpacks is often limited by insufficient ground-based observations and uncertainty in the (re)distribution of solid precipitation. We utilize high-resolution optical images from Pléiades satellites to generate a snow depth map, at a spatial resolution of 4 m, for a high mountain catchment of central Chile. Results are negatively biased (median difference of −0.22 m) when compared against observations from a terrestrial Light Detection And Ranging scan, though replicate general snow depth variability well. Additionally, the Pléiades dataset is subject to data gaps (17% of total pixels), negative values for shallow snow (12%), and noise on slopes >40–50° (2%). We correct and filter the Pléiades snow depths using surface classification techniques of snow-free areas and a random forest model for data gap filling. Snow depths (with an estimated error of ~0.36 m) average 1.66 m and relate well to topographical parameters such as elevation and northness in a similar way to previous studies. However, estimations of snow depth based upon topography (TOPO) or physically based modeling (DBSM) cannot resolve localized processes (i.e., avalanching or wind scouring) that are detected by Pléiades, even when forced with locally calibrated data. Comparing these alternative model approaches to corrected Pléiades snow depths reveals total snow volume differences between −28% (DBSM) and +54% (TOPO) for the catchment and large differences across most elevation bands. Pléiades represents an important contribution to understanding snow accumulation at sparsely monitored catchments, though ideally requires a careful systematic validation procedure to identify catchment-scale biases and errors in the snow depth derivation."}],"date_created":"2023-02-20T08:12:47Z","volume":56,"year":"2020","_id":"12598","publication_status":"published","oa":1,"main_file_link":[{"url":"https://doi.org/10.1029/2019WR024880","open_access":"1"}],"date_published":"2020-02-01T00:00:00Z","status":"public","citation":{"ama":"Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. <i>Water Resources Research</i>. 2020;56(2). doi:<a href=\"https://doi.org/10.1029/2019wr024880\">10.1029/2019wr024880</a>","apa":"Shaw, T. E., Gascoin, S., Mendoza, P. A., Pellicciotti, F., &#38; McPhee, J. (2020). Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. <i>Water Resources Research</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2019wr024880\">https://doi.org/10.1029/2019wr024880</a>","mla":"Shaw, Thomas E., et al. “Snow Depth Patterns in a High Mountain Andean Catchment from Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>, vol. 56, no. 2, e2019WR024880, American Geophysical Union, 2020, doi:<a href=\"https://doi.org/10.1029/2019wr024880\">10.1029/2019wr024880</a>.","ista":"Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. 2020. Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. Water Resources Research. 56(2), e2019WR024880.","chicago":"Shaw, Thomas E., Simon Gascoin, Pablo A. Mendoza, Francesca Pellicciotti, and James McPhee. “Snow Depth Patterns in a High Mountain Andean Catchment from Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>. American Geophysical Union, 2020. <a href=\"https://doi.org/10.1029/2019wr024880\">https://doi.org/10.1029/2019wr024880</a>.","ieee":"T. E. Shaw, S. Gascoin, P. A. Mendoza, F. Pellicciotti, and J. McPhee, “Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing,” <i>Water Resources Research</i>, vol. 56, no. 2. American Geophysical Union, 2020.","short":"T.E. Shaw, S. Gascoin, P.A. Mendoza, F. Pellicciotti, J. McPhee, Water Resources Research 56 (2020)."},"extern":"1","intvolume":"        56"},{"page":"364-369","author":[{"full_name":"Immerzeel, W. W.","first_name":"W. W.","last_name":"Immerzeel"},{"full_name":"Lutz, A. F.","first_name":"A. F.","last_name":"Lutz"},{"first_name":"M.","last_name":"Andrade","full_name":"Andrade, M."},{"first_name":"A.","last_name":"Bahl","full_name":"Bahl, A."},{"full_name":"Biemans, H.","first_name":"H.","last_name":"Biemans"},{"full_name":"Bolch, T.","last_name":"Bolch","first_name":"T."},{"first_name":"S.","last_name":"Hyde","full_name":"Hyde, S."},{"full_name":"Brumby, S.","last_name":"Brumby","first_name":"S."},{"full_name":"Davies, B. J.","last_name":"Davies","first_name":"B. J."},{"last_name":"Elmore","first_name":"A. C.","full_name":"Elmore, A. C."},{"first_name":"A.","last_name":"Emmer","full_name":"Emmer, A."},{"first_name":"M.","last_name":"Feng","full_name":"Feng, M."},{"full_name":"Fernández, A.","first_name":"A.","last_name":"Fernández"},{"first_name":"U.","last_name":"Haritashya","full_name":"Haritashya, U."},{"full_name":"Kargel, J. S.","first_name":"J. S.","last_name":"Kargel"},{"last_name":"Koppes","first_name":"M.","full_name":"Koppes, M."},{"full_name":"Kraaijenbrink, P. D. A.","last_name":"Kraaijenbrink","first_name":"P. D. A."},{"full_name":"Kulkarni, A. V.","last_name":"Kulkarni","first_name":"A. V."},{"full_name":"Mayewski, P. A.","last_name":"Mayewski","first_name":"P. A."},{"full_name":"Nepal, S.","first_name":"S.","last_name":"Nepal"},{"last_name":"Pacheco","first_name":"P.","full_name":"Pacheco, P."},{"first_name":"T. H.","last_name":"Painter","full_name":"Painter, T. H."},{"id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca","first_name":"Francesca","last_name":"Pellicciotti"},{"full_name":"Rajaram, H.","first_name":"H.","last_name":"Rajaram"},{"last_name":"Rupper","first_name":"S.","full_name":"Rupper, S."},{"last_name":"Sinisalo","first_name":"A.","full_name":"Sinisalo, A."},{"full_name":"Shrestha, A. B.","last_name":"Shrestha","first_name":"A. B."},{"full_name":"Viviroli, D.","first_name":"D.","last_name":"Viviroli"},{"full_name":"Wada, Y.","first_name":"Y.","last_name":"Wada"},{"last_name":"Xiao","first_name":"C.","full_name":"Xiao, C."},{"full_name":"Yao, T.","last_name":"Yao","first_name":"T."},{"first_name":"J. E. M.","last_name":"Baillie","full_name":"Baillie, J. E. M."}],"abstract":[{"lang":"eng","text":"Mountains are the water towers of the world, supplying a substantial part of both natural and anthropogenic water demands1,2. They are highly sensitive and prone to climate change3,4, yet their importance and vulnerability have not been quantified at the global scale. Here we present a global water tower index (WTI), which ranks all water towers in terms of their water-supplying role and the downstream dependence of ecosystems and society. For each water tower, we assess its vulnerability related to water stress, governance, hydropolitical tension and future climatic and socio-economic changes. We conclude that the most important (highest WTI) water towers are also among the most vulnerable, and that climatic and socio-economic changes will affect them profoundly. This could negatively impact 1.9 billion people living in (0.3 billion) or directly downstream of (1.6 billion) mountainous areas. Immediate action is required to safeguard the future of the world’s most important and vulnerable water towers."}],"date_updated":"2023-02-28T12:17:38Z","day":"16","oa_version":"None","type":"journal_article","month":"01","volume":577,"title":"Importance and vulnerability of the world’s water towers","date_created":"2023-02-20T08:12:53Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Springer Nature","year":"2020","publication":"Nature","_id":"12599","article_processing_charge":"No","scopus_import":"1","article_type":"original","publication_status":"published","publication_identifier":{"issn":["0028-0836"],"eissn":["1476-4687"]},"doi":"10.1038/s41586-019-1822-y","date_published":"2020-01-16T00:00:00Z","quality_controlled":"1","status":"public","intvolume":"       577","extern":"1","citation":{"ama":"Immerzeel WW, Lutz AF, Andrade M, et al. Importance and vulnerability of the world’s water towers. <i>Nature</i>. 2020;577(7790):364-369. doi:<a href=\"https://doi.org/10.1038/s41586-019-1822-y\">10.1038/s41586-019-1822-y</a>","ista":"Immerzeel WW, Lutz AF, Andrade M, Bahl A, Biemans H, Bolch T, Hyde S, Brumby S, Davies BJ, Elmore AC, Emmer A, Feng M, Fernández A, Haritashya U, Kargel JS, Koppes M, Kraaijenbrink PDA, Kulkarni AV, Mayewski PA, Nepal S, Pacheco P, Painter TH, Pellicciotti F, Rajaram H, Rupper S, Sinisalo A, Shrestha AB, Viviroli D, Wada Y, Xiao C, Yao T, Baillie JEM. 2020. Importance and vulnerability of the world’s water towers. Nature. 577(7790), 364–369.","mla":"Immerzeel, W. W., et al. “Importance and Vulnerability of the World’s Water Towers.” <i>Nature</i>, vol. 577, no. 7790, Springer Nature, 2020, pp. 364–69, doi:<a href=\"https://doi.org/10.1038/s41586-019-1822-y\">10.1038/s41586-019-1822-y</a>.","apa":"Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., … Baillie, J. E. M. (2020). Importance and vulnerability of the world’s water towers. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-019-1822-y\">https://doi.org/10.1038/s41586-019-1822-y</a>","ieee":"W. W. Immerzeel <i>et al.</i>, “Importance and vulnerability of the world’s water towers,” <i>Nature</i>, vol. 577, no. 7790. Springer Nature, pp. 364–369, 2020.","chicago":"Immerzeel, W. W., A. F. Lutz, M. Andrade, A. Bahl, H. Biemans, T. Bolch, S. Hyde, et al. “Importance and Vulnerability of the World’s Water Towers.” <i>Nature</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1038/s41586-019-1822-y\">https://doi.org/10.1038/s41586-019-1822-y</a>.","short":"W.W. Immerzeel, A.F. Lutz, M. Andrade, A. Bahl, H. Biemans, T. Bolch, S. Hyde, S. Brumby, B.J. Davies, A.C. Elmore, A. Emmer, M. Feng, A. Fernández, U. Haritashya, J.S. Kargel, M. Koppes, P.D.A. Kraaijenbrink, A.V. Kulkarni, P.A. Mayewski, S. Nepal, P. Pacheco, T.H. Painter, F. Pellicciotti, H. Rajaram, S. Rupper, A. Sinisalo, A.B. Shrestha, D. Viviroli, Y. Wada, C. Xiao, T. Yao, J.E.M. Baillie, Nature 577 (2020) 364–369."},"language":[{"iso":"eng"}],"issue":"7790"},{"status":"public","intvolume":"      2020","extern":"1","citation":{"apa":"Karg, C. A., Wang, P., Kluibenschedl, F., Müller, T., Allmendinger, L., Vollmar, A. M., &#38; Moser, S. (2020). Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells. <i>European Journal of Organic Chemistry</i>. Wiley. <a href=\"https://doi.org/10.1002/ejoc.202000692\">https://doi.org/10.1002/ejoc.202000692</a>","mla":"Karg, Cornelia A., et al. “Phylloxanthobilins Are Abundant Linear Tetrapyrroles from Chlorophyll Breakdown with Activities against Cancer Cells.” <i>European Journal of Organic Chemistry</i>, vol. 2020, no. 29, Wiley, 2020, pp. 4499–509, doi:<a href=\"https://doi.org/10.1002/ejoc.202000692\">10.1002/ejoc.202000692</a>.","ista":"Karg CA, Wang P, Kluibenschedl F, Müller T, Allmendinger L, Vollmar AM, Moser S. 2020. Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells. European Journal of Organic Chemistry. 2020(29), 4499–4509.","ama":"Karg CA, Wang P, Kluibenschedl F, et al. Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells. <i>European Journal of Organic Chemistry</i>. 2020;2020(29):4499-4509. doi:<a href=\"https://doi.org/10.1002/ejoc.202000692\">10.1002/ejoc.202000692</a>","short":"C.A. Karg, P. Wang, F. Kluibenschedl, T. Müller, L. Allmendinger, A.M. Vollmar, S. Moser, European Journal of Organic Chemistry 2020 (2020) 4499–4509.","chicago":"Karg, Cornelia A., Pengyu Wang, Florian Kluibenschedl, Thomas Müller, Lars Allmendinger, Angelika M. Vollmar, and Simone Moser. “Phylloxanthobilins Are Abundant Linear Tetrapyrroles from Chlorophyll Breakdown with Activities against Cancer Cells.” <i>European Journal of Organic Chemistry</i>. Wiley, 2020. <a href=\"https://doi.org/10.1002/ejoc.202000692\">https://doi.org/10.1002/ejoc.202000692</a>.","ieee":"C. A. Karg <i>et al.</i>, “Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells,” <i>European Journal of Organic Chemistry</i>, vol. 2020, no. 29. Wiley, pp. 4499–4509, 2020."},"oa":1,"publication_status":"published","date_published":"2020-08-09T00:00:00Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/ejoc.202000692"}],"year":"2020","_id":"12939","page":"4499-4509","date_updated":"2023-05-15T07:57:14Z","abstract":[{"lang":"eng","text":"Linear tetrapyrroles, called phyllobilins, are obtained as major catabolites upon chlorophyll degradation. Primarily, colorless phylloleucobilins featuring four deconjugated pyrrole units were identified. Their yellow counterparts, phylloxanthobilins, were discovered more recently. Although the two catabolites differ only by one double bond, physicochemical properties are very distinct. Moreover, the presence of the double bond seems to enhance physiologically relevant bioactivities: in contrast to phylloleucobilin, we identified a potent anti-proliferative activity for a phylloxanthobilin, and show that this natural product induces apoptotic cell death and a cell cycle arrest in cancer cells. Interestingly, upon modifying inactive phylloleucobilin by esterification, an anti-proliferative activity can be observed that increases with the chain lengths of the alkyl esters. We provide first evidence for anti-cancer activity of phyllobilins, report a novel plant source for a phylloxanthobilin, and by using paper spray MS, show that these bioactive yellow chlorophyll catabolites are more prevalent in Nature than previously assumed."}],"month":"08","oa_version":"Published Version","type":"journal_article","volume":2020,"date_created":"2023-05-10T14:49:30Z","keyword":["Organic Chemistry","Physical and Theoretical Chemistry"],"language":[{"iso":"eng"}],"issue":"29","publication_identifier":{"issn":["1434-193X","1099-0690"]},"doi":"10.1002/ejoc.202000692","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Wiley","publication":"European Journal of Organic Chemistry","scopus_import":"1","article_processing_charge":"No","article_type":"original","author":[{"first_name":"Cornelia A.","last_name":"Karg","full_name":"Karg, Cornelia A."},{"full_name":"Wang, Pengyu","last_name":"Wang","first_name":"Pengyu"},{"full_name":"Kluibenschedl, Florian","id":"7499e70e-eb2c-11ec-b98b-f925648bc9d9","last_name":"Kluibenschedl","first_name":"Florian"},{"first_name":"Thomas","last_name":"Müller","full_name":"Müller, Thomas"},{"first_name":"Lars","last_name":"Allmendinger","full_name":"Allmendinger, Lars"},{"full_name":"Vollmar, Angelika M.","last_name":"Vollmar","first_name":"Angelika M."},{"full_name":"Moser, Simone","last_name":"Moser","first_name":"Simone"}],"day":"09","title":"Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells"},{"date_created":"2023-05-10T14:50:19Z","volume":92,"month":"10","type":"journal_article","oa_version":"Published Version","date_updated":"2023-05-15T08:01:20Z","abstract":[{"lang":"eng","text":"Desorption electrospray ionization (DESI), easy ambient sonic-spray ionization (EASI) and low-temperature plasma (LTP) ionization are powerful ambient ionization techniques for mass spectrometry. However, every single method has its limitation in terms of polarity and molecular weight of analyte molecules. After the miniaturization of every possible component of the different ion sources, we finally were able to embed two emitters and an ion transfer tubing into a small, hand-held device. The pen-like interface is connected to the mass spectrometer and a separate control unit via a bundle of flexible tubing and cables. The novel device allows the user to ionize an extended range of chemicals by simple switching between DESI, voltage-free EASI, or LTP ionization as well as to freely move the interface over a surface of interest. A mini camera, which is mounted on the tip of the pen, magnifies the desorption area and enables a simple positioning of the pen. The interface was successfully tested using different types of chemicals, pharmaceuticals, and real life samples. Moreover, the combination of optical data from the camera module and chemical data obtained by mass analysis facilitates a novel type of imaging mass spectrometry, which we name “interactive mass spectrometry imaging (IMSI)”."}],"page":"14314-14318","_id":"12940","year":"2020","main_file_link":[{"url":"https://doi.org/10.1021/acs.analchem.0c02615","open_access":"1"}],"date_published":"2020-10-16T00:00:00Z","oa":1,"publication_status":"published","citation":{"ista":"Meisenbichler C, Kluibenschedl F, Müller T. 2020. A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces. Analytical Chemistry. 92(21), 14314–14318.","mla":"Meisenbichler, Christina, et al. “A 3-in-1 Hand-Held Ambient Mass Spectrometry Interface for Identification and 2D Localization of Chemicals on Surfaces.” <i>Analytical Chemistry</i>, vol. 92, no. 21, American Chemical Society, 2020, pp. 14314–18, doi:<a href=\"https://doi.org/10.1021/acs.analchem.0c02615\">10.1021/acs.analchem.0c02615</a>.","apa":"Meisenbichler, C., Kluibenschedl, F., &#38; Müller, T. (2020). A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces. <i>Analytical Chemistry</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.analchem.0c02615\">https://doi.org/10.1021/acs.analchem.0c02615</a>","ama":"Meisenbichler C, Kluibenschedl F, Müller T. A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces. <i>Analytical Chemistry</i>. 2020;92(21):14314-14318. doi:<a href=\"https://doi.org/10.1021/acs.analchem.0c02615\">10.1021/acs.analchem.0c02615</a>","short":"C. Meisenbichler, F. Kluibenschedl, T. Müller, Analytical Chemistry 92 (2020) 14314–14318.","ieee":"C. Meisenbichler, F. Kluibenschedl, and T. Müller, “A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces,” <i>Analytical Chemistry</i>, vol. 92, no. 21. American Chemical Society, pp. 14314–14318, 2020.","chicago":"Meisenbichler, Christina, Florian Kluibenschedl, and Thomas Müller. “A 3-in-1 Hand-Held Ambient Mass Spectrometry Interface for Identification and 2D Localization of Chemicals on Surfaces.” <i>Analytical Chemistry</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.analchem.0c02615\">https://doi.org/10.1021/acs.analchem.0c02615</a>."},"intvolume":"        92","extern":"1","status":"public","external_id":{"pmid":["33063994"]},"title":"A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces","day":"16","author":[{"full_name":"Meisenbichler, Christina","last_name":"Meisenbichler","first_name":"Christina"},{"id":"7499e70e-eb2c-11ec-b98b-f925648bc9d9","full_name":"Kluibenschedl, Florian","first_name":"Florian","last_name":"Kluibenschedl"},{"full_name":"Müller, Thomas","first_name":"Thomas","last_name":"Müller"}],"article_type":"letter_note","article_processing_charge":"No","scopus_import":"1","publication":"Analytical Chemistry","pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"American Chemical Society","quality_controlled":"1","doi":"10.1021/acs.analchem.0c02615","publication_identifier":{"issn":["0003-2700","1520-6882"]},"issue":"21","language":[{"iso":"eng"}],"keyword":["Analytical Chemistry"]},{"publication_status":"submitted","oa":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2006.13316"}],"doi":"10.48550/arXiv.2006.13316","date_published":"2020-06-23T00:00:00Z","external_id":{"arxiv":["2006.13316"]},"status":"public","citation":{"chicago":"Monserrat, Bartomeu, Jan Gerit Brandenburg, Edgar A. Engel, and Bingqing Cheng. “Extracting Ice Phases from Liquid Water: Why a Machine-Learning Water Model Generalizes so Well.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2006.13316\">https://doi.org/10.48550/arXiv.2006.13316</a>.","ieee":"B. Monserrat, J. G. Brandenburg, E. A. Engel, and B. Cheng, “Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well,” <i>arXiv</i>. .","short":"B. Monserrat, J.G. Brandenburg, E.A. Engel, B. Cheng, ArXiv (n.d.).","ama":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2006.13316\">10.48550/arXiv.2006.13316</a>","apa":"Monserrat, B., Brandenburg, J. G., Engel, E. A., &#38; Cheng, B. (n.d.). Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2006.13316\">https://doi.org/10.48550/arXiv.2006.13316</a>","mla":"Monserrat, Bartomeu, et al. “Extracting Ice Phases from Liquid Water: Why a Machine-Learning Water Model Generalizes so Well.” <i>ArXiv</i>, 2006.13316, doi:<a href=\"https://doi.org/10.48550/arXiv.2006.13316\">10.48550/arXiv.2006.13316</a>.","ista":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. arXiv, 2006.13316."},"language":[{"iso":"eng"}],"extern":"1","type":"preprint","oa_version":"Submitted Version","month":"06","date_updated":"2023-05-10T10:17:48Z","day":"23","abstract":[{"lang":"eng","text":"We investigate the structural similarities between liquid water and 53 ices, including 20 known crystalline phases. We base such similarity comparison on the local environments that consist of atoms within a certain cutoff radius of a central atom. We reveal that liquid water explores the local environments of the diverse ice phases, by directly comparing the environments in these phases using general atomic descriptors, and also by demonstrating that a machine-learning potential trained on liquid water alone can predict the densities, the lattice energies, and vibrational properties of the\r\nices. The finding that the local environments characterising the different ice phases are found in water sheds light on water phase behaviors, and rationalizes the transferability of water models between different phases."}],"author":[{"last_name":"Monserrat","first_name":"Bartomeu","full_name":"Monserrat, Bartomeu"},{"first_name":"Jan Gerit","last_name":"Brandenburg","full_name":"Brandenburg, Jan Gerit"},{"full_name":"Engel, Edgar A.","first_name":"Edgar A.","last_name":"Engel"},{"last_name":"Cheng","first_name":"Bingqing","full_name":"Cheng, Bingqing","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","orcid":"0000-0002-3584-9632"}],"date_created":"2021-07-20T11:25:15Z","article_number":"2006.13316","title":"Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well","arxiv":1,"year":"2020","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","_id":"9699","publication":"arXiv"},{"author":[{"full_name":"Hillary, Robert F.","first_name":"Robert F.","last_name":"Hillary"},{"full_name":"Trejo-Banos, Daniel","first_name":"Daniel","last_name":"Trejo-Banos"},{"full_name":"Kousathanas, Athanasios","last_name":"Kousathanas","first_name":"Athanasios"},{"full_name":"McCartney, Daniel L.","first_name":"Daniel L.","last_name":"McCartney"},{"last_name":"Harris","first_name":"Sarah E.","full_name":"Harris, Sarah E."},{"first_name":"Anna J.","last_name":"Stevenson","full_name":"Stevenson, Anna J."},{"first_name":"Marion","last_name":"Patxot","full_name":"Patxot, Marion"},{"last_name":"Ojavee","first_name":"Sven Erik","full_name":"Ojavee, Sven Erik"},{"full_name":"Zhang, Qian","first_name":"Qian","last_name":"Zhang"},{"full_name":"Liewald, David C.","first_name":"David C.","last_name":"Liewald"},{"first_name":"Craig W.","last_name":"Ritchie","full_name":"Ritchie, Craig W."},{"full_name":"Evans, Kathryn L.","last_name":"Evans","first_name":"Kathryn L."},{"full_name":"Tucker-Drob, Elliot M.","first_name":"Elliot M.","last_name":"Tucker-Drob"},{"first_name":"Naomi R.","last_name":"Wray","full_name":"Wray, Naomi R."},{"last_name":"McRae","first_name":"Allan F. ","full_name":"McRae, Allan F. "},{"last_name":"Visscher","first_name":"Peter M.","full_name":"Visscher, Peter M."},{"full_name":"Deary, Ian J.","last_name":"Deary","first_name":"Ian J."},{"last_name":"Robinson","first_name":"Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","orcid":"0000-0001-8982-8813","full_name":"Robinson, Matthew Richard"},{"last_name":"Marioni","first_name":"Riccardo E. ","full_name":"Marioni, Riccardo E. "}],"abstract":[{"text":"Additional file 2: Supplementary Tables. The association of pre-adjusted protein levels with biological and technical covariates. Protein levels were adjusted for age, sex, array plate and four genetic principal components (population structure) prior to analyses. Significant associations are emboldened. (Table S1). pQTLs associated with inflammatory biomarker levels from Bayesian penalised regression model (Posterior Inclusion Probability > 95%). (Table S2). All pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S3). Summary of lambda values relating to ordinary least squares GWAS and EWAS performed on inflammatory protein levels (n = 70) in Lothian Birth Cohort 1936 study. (Table S4). Conditionally significant pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S5). Comparison of variance explained by ordinary least squares and Bayesian penalised regression models for concordantly identified SNPs. (Table S6). Estimate of heritability for blood protein levels as well as proportion of variance explained attributable to different prior mixtures. (Table S7). Comparison of heritability estimates from Ahsan et al. (maximum likelihood) and Hillary et al. (Bayesian penalised regression). (Table S8). List of concordant SNPs identified by linear model and Bayesian penalised regression and whether they have been previously identified as eQTLs. (Table S9). Bayesian tests of colocalisation for cis pQTLs and cis eQTLs. (Table S10). Sherlock algorithm: Genes whose expression are putatively associated with circulating inflammatory proteins that harbour pQTLs. (Table S11). CpGs associated with inflammatory protein biomarkers as identified by Bayesian model (Bayesian model; Posterior Inclusion Probability > 95%). (Table S12). CpGs associated with inflammatory protein biomarkers as identified by linear model (limma) at P < 5.14 × 10− 10. (Table S13). CpGs associated with inflammatory protein biomarkers as identified by mixed linear model (OSCA) at P < 5.14 × 10− 10. (Table S14). Estimate of variance explained for blood protein levels by DNA methylation as well as proportion of explained attributable to different prior mixtures - BayesR+. (Table S15). Comparison of variance in protein levels explained by genome-wide DNA methylation data by mixed linear model (OSCA) and Bayesian penalised regression model (BayesR+). (Table S16). Variance in circulating inflammatory protein biomarker levels explained by common genetic and methylation data (joint and conditional estimates from BayesR+). Ordered by combined variance explained by genetic and epigenetic data - smallest to largest. Significant results from t-tests comparing distributions for variance explained by methylation or genetics alone versus combined estimate are emboldened. (Table S17). Genetic and epigenetic factors identified by BayesR+ when conditioning on all SNPs and CpGs together. (Table S18). Mendelian Randomisation analyses to assess whether proteins with concordantly identified genetic signals are causally associated with Alzheimer’s disease risk. (Table S19).","lang":"eng"}],"license":"https://creativecommons.org/licenses/by/4.0/","date_updated":"2023-08-22T07:55:36Z","day":"09","type":"research_data_reference","oa_version":"Published Version","month":"07","title":"Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults","date_created":"2021-07-23T08:59:15Z","publisher":"Springer Nature","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"MaRo"}],"year":"2020","_id":"9706","article_processing_charge":"No","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"oa":1,"has_accepted_license":"1","doi":"10.6084/m9.figshare.12629697.v1","date_published":"2020-07-09T00:00:00Z","main_file_link":[{"url":"https://doi.org/10.6084/m9.figshare.12629697.v1","open_access":"1"}],"status":"public","related_material":{"record":[{"id":"8133","status":"public","relation":"used_in_publication"}]},"citation":{"short":"R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. McCartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. McRae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, (2020).","ieee":"R. F. Hillary <i>et al.</i>, “Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.” Springer Nature, 2020.","chicago":"Hillary, Robert F., Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, et al. “Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults.” Springer Nature, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>.","ista":"Hillary RF, Trejo-Banos D, Kousathanas A, McCartney DL, Harris SE, Stevenson AJ, Patxot M, Ojavee SE, Zhang Q, Liewald DC, Ritchie CW, Evans KL, Tucker-Drob EM, Wray NR, McRae AF, Visscher PM, Deary IJ, Robinson MR, Marioni RE. 2020. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>.","mla":"Hillary, Robert F., et al. <i>Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults</i>. Springer Nature, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>.","apa":"Hillary, R. F., Trejo-Banos, D., Kousathanas, A., McCartney, D. L., Harris, S. E., Stevenson, A. J., … Marioni, R. E. (2020). Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. Springer Nature. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>","ama":"Hillary RF, Trejo-Banos D, Kousathanas A, et al. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>"},"other_data_license":"CC0 + CC BY (4.0)"},{"author":[{"full_name":"Hartstein, Mate","last_name":"Hartstein","first_name":"Mate"},{"full_name":"Hsu, Yu-Te","first_name":"Yu-Te","last_name":"Hsu"},{"orcid":"0000-0001-9760-3147","id":"13C26AC0-EB69-11E9-87C6-5F3BE6697425","full_name":"Modic, Kimberly A","first_name":"Kimberly A","last_name":"Modic"},{"first_name":"Juan","last_name":"Porras","full_name":"Porras, Juan"},{"full_name":"Loew, Toshinao","last_name":"Loew","first_name":"Toshinao"},{"first_name":"Matthieu","last_name":"Le Tacon","full_name":"Le Tacon, Matthieu"},{"full_name":"Zuo, Huakun","last_name":"Zuo","first_name":"Huakun"},{"full_name":"Wang, Jinhua","first_name":"Jinhua","last_name":"Wang"},{"full_name":"Zhu, Zengwei","first_name":"Zengwei","last_name":"Zhu"},{"first_name":"Mun","last_name":"Chan","full_name":"Chan, Mun"},{"first_name":"Ross","last_name":"McDonald","full_name":"McDonald, Ross"},{"full_name":"Lonzarich, Gilbert","last_name":"Lonzarich","first_name":"Gilbert"},{"first_name":"Bernhard","last_name":"Keimer","full_name":"Keimer, Bernhard"},{"first_name":"Suchitra","last_name":"Sebastian","full_name":"Sebastian, Suchitra"},{"first_name":"Neil","last_name":"Harrison","full_name":"Harrison, Neil"}],"oa_version":"Published Version","month":"05","type":"research_data_reference","day":"29","abstract":[{"text":"This research data supports 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'. A Readme file for plotting each figure is provided.","lang":"eng"}],"date_updated":"2023-08-21T07:06:48Z","title":"Accompanying dataset for 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'","date_created":"2021-07-23T10:00:35Z","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","publisher":"Apollo - University of Cambridge","year":"2020","department":[{"_id":"KiMo"}],"_id":"9708","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_processing_charge":"No","oa":1,"has_accepted_license":"1","date_published":"2020-05-29T00:00:00Z","doi":"10.17863/cam.50169","main_file_link":[{"open_access":"1","url":"https://doi.org/10.17863/CAM.50169"}],"status":"public","related_material":{"record":[{"id":"7942","status":"public","relation":"used_in_publication"}]},"citation":{"apa":"Hartstein, M., Hsu, Y.-T., Modic, K. A., Porras, J., Loew, T., Le Tacon, M., … Harrison, N. (2020). Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” Apollo - University of Cambridge. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>","ista":"Hartstein M, Hsu Y-T, Modic KA, Porras J, Loew T, Le Tacon M, Zuo H, Wang J, Zhu Z, Chan M, McDonald R, Lonzarich G, Keimer B, Sebastian S, Harrison N. 2020. Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors’, Apollo - University of Cambridge, <a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","mla":"Hartstein, Mate, et al. <i>Accompanying Dataset for “Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.”</i> Apollo - University of Cambridge, 2020, doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","ama":"Hartstein M, Hsu Y-T, Modic KA, et al. Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” 2020. doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>","short":"M. Hartstein, Y.-T. Hsu, K.A. Modic, J. Porras, T. Loew, M. Le Tacon, H. Zuo, J. Wang, Z. Zhu, M. Chan, R. McDonald, G. Lonzarich, B. Keimer, S. Sebastian, N. Harrison, (2020).","chicago":"Hartstein, Mate, Yu-Te Hsu, Kimberly A Modic, Juan Porras, Toshinao Loew, Matthieu Le Tacon, Huakun Zuo, et al. “Accompanying Dataset for ‘Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.’” Apollo - University of Cambridge, 2020. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>.","ieee":"M. Hartstein <i>et al.</i>, “Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.’” Apollo - University of Cambridge, 2020."}},{"citation":{"ista":"Gupta C, Khaniya U, Chan CK, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot C, Singharoy A. 2020. Supporting information, American Chemical Society , <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>.","mla":"Gupta, Chitrak, et al. <i>Supporting Information</i>. American Chemical Society , 2020, doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>.","apa":"Gupta, C., Khaniya, U., Chan, C. K., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Supporting information. American Chemical Society . <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>","ama":"Gupta C, Khaniya U, Chan CK, et al. Supporting information. 2020. doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>","short":"C. Gupta, U. Khaniya, C.K. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov, C. Chipot, A. Singharoy, (2020).","ieee":"C. Gupta <i>et al.</i>, “Supporting information.” American Chemical Society , 2020.","chicago":"Gupta, Chitrak, Umesh Khaniya, Chun Kit Chan, Francois Dehez, Mrinal Shekhar, M.R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Supporting Information.” American Chemical Society , 2020. <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>."},"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"8040"}]},"status":"public","doi":"10.1021/jacs.9b13450.s001","date_published":"2020-05-20T00:00:00Z","article_processing_charge":"No","_id":"9713","department":[{"_id":"LeSa"}],"year":"2020","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","publisher":"American Chemical Society ","date_created":"2021-07-23T12:02:39Z","title":"Supporting information","abstract":[{"text":"Additional analyses of the trajectories","lang":"eng"}],"day":"20","date_updated":"2023-08-22T07:49:38Z","oa_version":"Published Version","type":"research_data_reference","month":"05","author":[{"last_name":"Gupta","first_name":"Chitrak","full_name":"Gupta, Chitrak"},{"full_name":"Khaniya, Umesh","first_name":"Umesh","last_name":"Khaniya"},{"full_name":"Chan, Chun Kit","last_name":"Chan","first_name":"Chun Kit"},{"first_name":"Francois","last_name":"Dehez","full_name":"Dehez, Francois"},{"first_name":"Mrinal","last_name":"Shekhar","full_name":"Shekhar, Mrinal"},{"full_name":"Gunner, M.R.","first_name":"M.R.","last_name":"Gunner"},{"last_name":"Sazanov","first_name":"Leonid A","full_name":"Sazanov, Leonid A","orcid":"0000-0002-0977-7989","id":"338D39FE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Chipot, Christophe","first_name":"Christophe","last_name":"Chipot"},{"full_name":"Singharoy, Abhishek","first_name":"Abhishek","last_name":"Singharoy"}]},{"status":"public","project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"_id":"260F1432-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation","grant_number":"742573"},{"name":"Modulation of adhesion function in cell-cell contact formation by cortical tension","_id":"2521E28E-B435-11E9-9278-68D0E5697425","grant_number":"187-2013"}],"language":[{"iso":"eng"}],"citation":{"ieee":"J. Slovakova <i>et al.</i>, “Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory, 2020.","chicago":"Slovakova, Jana, Mateusz K Sikora, Silvia Caballero Mancebo, Gabriel Krens, Walter Kaufmann, Karla Huljev, and Carl-Philipp J Heisenberg. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, 2020. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>.","short":"J. Slovakova, M.K. Sikora, S. Caballero Mancebo, G. Krens, W. Kaufmann, K. Huljev, C.-P.J. Heisenberg, BioRxiv (2020).","ama":"Slovakova J, Sikora MK, Caballero Mancebo S, et al. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. 2020. doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>","ista":"Slovakova J, Sikora MK, Caballero Mancebo S, Krens G, Kaufmann W, Huljev K, Heisenberg C-PJ. 2020. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. bioRxiv, <a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>.","mla":"Slovakova, Jana, et al. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, 2020, doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>.","apa":"Slovakova, J., Sikora, M. K., Caballero Mancebo, S., Krens, G., Kaufmann, W., Huljev, K., &#38; Heisenberg, C.-P. J. (2020). Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>"},"related_material":{"record":[{"relation":"later_version","id":"10766","status":"public"},{"relation":"dissertation_contains","id":"9623","status":"public"}]},"oa":1,"publication_status":"published","main_file_link":[{"url":"https://doi.org/10.1101/2020.11.20.391284","open_access":"1"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"EM-Fac"},{"_id":"SSU"}],"date_published":"2020-11-20T00:00:00Z","doi":"10.1101/2020.11.20.391284","year":"2020","department":[{"_id":"CaHe"},{"_id":"EM-Fac"},{"_id":"Bio"}],"publisher":"Cold Spring Harbor Laboratory","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","acknowledgement":"We would like to thank Edouard Hannezo for discussions, Shayan Shami Pour and Daniel Capek for help with data analysis, Vanessa Barone and other members of the Heisenberg laboratory for thoughtful discussions and comments on the manuscript. We also thank Jack Merrin for preparing the microwells, and the Scientific Service Units at IST Austria, specifically Bioimaging and Electron Microscopy, and the Zebrafish Facility for continuous support. We acknowledge Hitoshi Morita for the kind gift of VinculinB-GFP plasmid. This research was supported by an ERC Advanced Grant (MECSPEC) to C.-P.H, EMBO Long Term grant (ALTF 187-2013) to M.S and IST Fellow Marie-Curie COFUND No. P_IST_EU01 to J.S.","ec_funded":1,"article_processing_charge":"No","publication":"bioRxiv","_id":"9750","date_updated":"2024-03-25T23:30:10Z","abstract":[{"text":"Tension of the actomyosin cell cortex plays a key role in determining cell-cell contact growth and size. The level of cortical tension outside of the cell-cell contact, when pulling at the contact edge, scales with the total size to which a cell-cell contact can grow1,2. Here we show in zebrafish primary germ layer progenitor cells that this monotonic relationship only applies to a narrow range of cortical tension increase, and that above a critical threshold, contact size inversely scales with cortical tension. This switch from cortical tension increasing to decreasing progenitor cell-cell contact size is caused by cortical tension promoting E-cadherin anchoring to the actomyosin cytoskeleton, thereby increasing clustering and stability of E-cadherin at the contact. Once tension-mediated E-cadherin stabilization at the contact exceeds a critical threshold level, the rate by which the contact expands in response to pulling forces from the cortex sharply drops, leading to smaller contacts at physiologically relevant timescales of contact formation. Thus, the activity of cortical tension in expanding cell-cell contact size is limited by tension stabilizing E-cadherin-actin complexes at the contact.","lang":"eng"}],"day":"20","type":"preprint","oa_version":"Preprint","month":"11","author":[{"id":"30F3F2F0-F248-11E8-B48F-1D18A9856A87","full_name":"Slovakova, Jana","last_name":"Slovakova","first_name":"Jana"},{"id":"2F74BCDE-F248-11E8-B48F-1D18A9856A87","full_name":"Sikora, Mateusz K","first_name":"Mateusz K","last_name":"Sikora"},{"full_name":"Caballero Mancebo, Silvia","orcid":"0000-0002-5223-3346","id":"2F1E1758-F248-11E8-B48F-1D18A9856A87","last_name":"Caballero Mancebo","first_name":"Silvia"},{"first_name":"Gabriel","last_name":"Krens","id":"2B819732-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4761-5996","full_name":"Krens, Gabriel"},{"full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","id":"3F99E422-F248-11E8-B48F-1D18A9856A87","first_name":"Walter","last_name":"Kaufmann"},{"id":"44C6F6A6-F248-11E8-B48F-1D18A9856A87","full_name":"Huljev, Karla","first_name":"Karla","last_name":"Huljev"},{"id":"39427864-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-0912-4566","full_name":"Heisenberg, Carl-Philipp J","last_name":"Heisenberg","first_name":"Carl-Philipp J"}],"page":"41","date_created":"2021-07-29T11:29:50Z","title":"Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion"},{"title":"Supporting information","date_created":"2021-08-06T07:15:04Z","author":[{"full_name":"Grah, Rok","id":"483E70DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2539-3560","first_name":"Rok","last_name":"Grah"},{"first_name":"Tamar","last_name":"Friedlander","full_name":"Friedlander, Tamar"}],"day":"25","date_updated":"2023-08-18T06:47:47Z","oa_version":"Published Version","month":"02","type":"research_data_reference","_id":"9776","article_processing_charge":"No","publisher":"Public Library of Science","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"GaTk"}],"year":"2020","doi":"10.1371/journal.pcbi.1007642.s001","date_published":"2020-02-25T00:00:00Z","related_material":{"record":[{"status":"public","id":"7569","relation":"used_in_publication"}]},"citation":{"mla":"Grah, Rok, and Tamar Friedlander. <i>Supporting Information</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>.","ista":"Grah R, Friedlander T. 2020. Supporting information, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>.","apa":"Grah, R., &#38; Friedlander, T. (2020). Supporting information. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">https://doi.org/10.1371/journal.pcbi.1007642.s001</a>","ama":"Grah R, Friedlander T. Supporting information. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>","short":"R. Grah, T. Friedlander, (2020).","ieee":"R. Grah and T. Friedlander, “Supporting information.” Public Library of Science, 2020.","chicago":"Grah, Rok, and Tamar Friedlander. “Supporting Information.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">https://doi.org/10.1371/journal.pcbi.1007642.s001</a>."},"status":"public"},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1371/journal.pcbi.1007642.s002"}],"date_published":"2020-02-25T00:00:00Z","doi":"10.1371/journal.pcbi.1007642.s002","oa":1,"citation":{"apa":"Grah, R., &#38; Friedlander, T. (2020). Maximizing crosstalk. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">https://doi.org/10.1371/journal.pcbi.1007642.s002</a>","mla":"Grah, Rok, and Tamar Friedlander. <i>Maximizing Crosstalk</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>.","ista":"Grah R, Friedlander T. 2020. Maximizing crosstalk, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>.","ama":"Grah R, Friedlander T. Maximizing crosstalk. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>","short":"R. Grah, T. Friedlander, (2020).","chicago":"Grah, Rok, and Tamar Friedlander. “Maximizing Crosstalk.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">https://doi.org/10.1371/journal.pcbi.1007642.s002</a>.","ieee":"R. Grah and T. Friedlander, “Maximizing crosstalk.” Public Library of Science, 2020."},"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"7569"}]},"status":"public","date_created":"2021-08-06T07:21:51Z","title":"Maximizing crosstalk","day":"25","date_updated":"2023-09-12T11:02:25Z","month":"02","oa_version":"None","type":"research_data_reference","author":[{"last_name":"Grah","first_name":"Rok","full_name":"Grah, Rok","id":"483E70DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2539-3560"},{"last_name":"Friedlander","first_name":"Tamar","full_name":"Friedlander, Tamar"}],"article_processing_charge":"No","_id":"9777","department":[{"_id":"GaTk"}],"year":"2020","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Public Library of Science"},{"doi":"10.1371/journal.pcbi.1007642.s003","date_published":"2020-02-25T00:00:00Z","citation":{"ama":"Grah R, Friedlander T. Distribution of crosstalk values. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>","ista":"Grah R, Friedlander T. 2020. Distribution of crosstalk values, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>.","mla":"Grah, Rok, and Tamar Friedlander. <i>Distribution of Crosstalk Values</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>.","apa":"Grah, R., &#38; Friedlander, T. (2020). Distribution of crosstalk values. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">https://doi.org/10.1371/journal.pcbi.1007642.s003</a>","ieee":"R. Grah and T. Friedlander, “Distribution of crosstalk values.” Public Library of Science, 2020.","chicago":"Grah, Rok, and Tamar Friedlander. “Distribution of Crosstalk Values.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">https://doi.org/10.1371/journal.pcbi.1007642.s003</a>.","short":"R. Grah, T. Friedlander, (2020)."},"related_material":{"record":[{"id":"7569","status":"public","relation":"research_data"}]},"status":"public","date_created":"2021-08-06T07:24:37Z","title":"Distribution of crosstalk values","day":"25","date_updated":"2023-08-18T06:47:47Z","month":"02","oa_version":"Published Version","type":"research_data_reference","author":[{"first_name":"Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2539-3560","full_name":"Grah, Rok"},{"full_name":"Friedlander, Tamar","last_name":"Friedlander","first_name":"Tamar"}],"article_processing_charge":"No","_id":"9779","year":"2020","department":[{"_id":"GaTk"}],"publisher":"Public Library of Science","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf"},{"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","publisher":"CCDC","year":"2020","department":[{"_id":"StFr"}],"_id":"9780","article_processing_charge":"No","author":[{"last_name":"Schlemmer","first_name":"Werner","full_name":"Schlemmer, Werner"},{"full_name":"Nothdurft, Philipp","first_name":"Philipp","last_name":"Nothdurft"},{"full_name":"Petzold, Alina","first_name":"Alina","last_name":"Petzold"},{"last_name":"Riess","first_name":"Gisbert","full_name":"Riess, Gisbert"},{"last_name":"Frühwirt","first_name":"Philipp","full_name":"Frühwirt, Philipp"},{"last_name":"Schmallegger","first_name":"Max","full_name":"Schmallegger, Max"},{"full_name":"Gescheidt-Demner, Georg","first_name":"Georg","last_name":"Gescheidt-Demner"},{"full_name":"Fischer, Roland","first_name":"Roland","last_name":"Fischer"},{"first_name":"Stefan Alexander","last_name":"Freunberger","full_name":"Freunberger, Stefan Alexander","orcid":"0000-0003-2902-5319","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425"},{"full_name":"Kern, Wolfgang","first_name":"Wolfgang","last_name":"Kern"},{"last_name":"Spirk","first_name":"Stefan","full_name":"Spirk, Stefan"}],"abstract":[{"lang":"eng","text":"PADREV : 4,4'-dimethoxy[1,1'-biphenyl]-2,2',5,5'-tetrol\r\nSpace Group: C 2 (5), Cell: a 24.488(16)Å b 5.981(4)Å c 3.911(3)Å, α 90° β 91.47(3)° γ 90°"}],"day":"22","date_updated":"2023-09-05T16:03:47Z","oa_version":"Published Version","month":"03","type":"research_data_reference","title":"CCDC 1991959: Experimental Crystal Structure Determination","date_created":"2021-08-06T07:41:07Z","status":"public","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"8329"}]},"citation":{"short":"W. Schlemmer, P. Nothdurft, A. Petzold, G. Riess, P. Frühwirt, M. Schmallegger, G. Gescheidt-Demner, R. Fischer, S.A. Freunberger, W. Kern, S. Spirk, (2020).","chicago":"Schlemmer, Werner, Philipp Nothdurft, Alina Petzold, Gisbert Riess, Philipp Frühwirt, Max Schmallegger, Georg Gescheidt-Demner, et al. “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>.","ieee":"W. Schlemmer <i>et al.</i>, “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020.","apa":"Schlemmer, W., Nothdurft, P., Petzold, A., Riess, G., Frühwirt, P., Schmallegger, M., … Spirk, S. (2020). CCDC 1991959: Experimental Crystal Structure Determination. CCDC. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>","mla":"Schlemmer, Werner, et al. <i>CCDC 1991959: Experimental Crystal Structure Determination</i>. CCDC, 2020, doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>.","ista":"Schlemmer W, Nothdurft P, Petzold A, Riess G, Frühwirt P, Schmallegger M, Gescheidt-Demner G, Fischer R, Freunberger SA, Kern W, Spirk S. 2020. CCDC 1991959: Experimental Crystal Structure Determination, CCDC, <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>.","ama":"Schlemmer W, Nothdurft P, Petzold A, et al. CCDC 1991959: Experimental Crystal Structure Determination. 2020. doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>"},"oa":1,"date_published":"2020-03-22T00:00:00Z","doi":"10.5517/ccdc.csd.cc24vsrk","main_file_link":[{"open_access":"1","url":"https://dx.doi.org/10.5517/ccdc.csd.cc24vsrk"}]}]