@article{8544,
  abstract     = {The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. Presynaptic ligand cerebellin-1 (Cbln1) and postsynaptic receptor GluD2 mediate synaptogenesis between granule cells and Purkinje cells in the molecular layer of the cerebellar cortex. Here we show that sparse but not global knockout of GluD2 causes under-elaboration of Purkinje cell dendrites in the deep molecular layer and overelaboration in the superficial molecular layer. Developmental, overexpression, structure-function, and genetic epistasis analyses indicate that dendrite morphogenesis defects result from competitive synaptogenesis in a Cbln1/GluD2-dependent manner. A generative model of dendritic growth based on competitive synaptogenesis largely recapitulates GluD2 sparse and global knockout phenotypes. Our results support the synaptotrophic hypothesis at initial stages of dendrite development, suggest a second mode in which cumulative synapse formation inhibits further dendrite growth, and highlight the importance of competition in dendrite morphogenesis.},
  author       = {Takeo, Yukari H. and Shuster, S. Andrew and Jiang, Linnie and Hu, Miley and Luginbuhl, David J. and Rülicke, Thomas and Contreras, Ximena and Hippenmeyer, Simon and Wagner, Mark J. and Ganguli, Surya and Luo, Liqun},
  issn         = {1097-4199},
  journal      = {Neuron},
  number       = {4},
  pages        = {P629--644.E8},
  publisher    = {Elsevier},
  title        = {{GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells}},
  doi          = {10.1016/j.neuron.2020.11.028},
  volume       = {109},
  year         = {2021},
}

@article{8546,
  abstract     = {Brain neurons arise from relatively few progenitors generating an enormous diversity of neuronal types. Nonetheless, a cardinal feature of mammalian brain neurogenesis is thought to be that excitatory and inhibitory neurons derive from separate, spatially segregated progenitors. Whether bi-potential progenitors with an intrinsic capacity to generate both lineages exist and how such a fate decision may be regulated are unknown. Using cerebellar development as a model, we discover that individual progenitors can give rise to both inhibitory and excitatory lineages. Gradations of Notch activity determine the fates of the progenitors and their daughters. Daughters with the highest levels of Notch activity retain the progenitor fate, while intermediate levels of Notch activity generate inhibitory neurons, and daughters with very low levels of Notch signaling adopt the excitatory fate. Therefore, Notch-mediated binary cell fate choice is a mechanism for regulating the ratio of excitatory to inhibitory neurons from common progenitors.},
  author       = {Zhang, Tingting and Liu, Tengyuan and Mora, Natalia and Guegan, Justine and Bertrand, Mathilde and Contreras, Ximena and Hansen, Andi H and Streicher, Carmen and Anderle, Marica and Danda, Natasha and Tiberi, Luca and Hippenmeyer, Simon and Hassan, Bassem A.},
  issn         = { 22111247},
  journal      = {Cell Reports},
  number       = {10},
  publisher    = {Elsevier},
  title        = {{Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum}},
  doi          = {10.1016/j.celrep.2021.109208},
  volume       = {35},
  year         = {2021},
}

@article{9603,
  abstract     = {Mosaic analysis with double markers (MADM) offers one approach to visualize and concomitantly manipulate genetically defined cells in mice with single-cell resolution. MADM applications include the analysis of lineage, single-cell morphology and physiology, genomic imprinting phenotypes, and dissection of cell-autonomous gene functions in vivo in health and disease. Yet, MADM can only be applied to <25% of all mouse genes on select chromosomes to date. To overcome this limitation, we generate transgenic mice with knocked-in MADM cassettes near the centromeres of all 19 autosomes and validate their use across organs. With this resource, >96% of the entire mouse genome can now be subjected to single-cell genetic mosaic analysis. Beyond a proof of principle, we apply our MADM library to systematically trace sister chromatid segregation in distinct mitotic cell lineages. We find striking chromosome-specific biases in segregation patterns, reflecting a putative mechanism for the asymmetric segregation of genetic determinants in somatic stem cell division.},
  author       = {Contreras, Ximena and Amberg, Nicole and Davaatseren, Amarbayasgalan and Hansen, Andi H and Sonntag, Johanna and Andersen, Lill and Bernthaler, Tina and Streicher, Carmen and Heger, Anna-Magdalena and Johnson, Randy L. and Schwarz, Lindsay A. and Luo, Liqun and Rülicke, Thomas and Hippenmeyer, Simon},
  issn         = {22111247},
  journal      = {Cell Reports},
  number       = {12},
  publisher    = {Cell Press},
  title        = {{A genome-wide library of MADM mice for single-cell genetic mosaic analysis}},
  doi          = {10.1016/j.celrep.2021.109274},
  volume       = {35},
  year         = {2021},
}

@article{9793,
  abstract     = {Astrocytes extensively infiltrate the neuropil to regulate critical aspects of synaptic development and function. This process is regulated by transcellular interactions between astrocytes and neurons via cell adhesion molecules. How astrocytes coordinate developmental processes among one another to parse out the synaptic neuropil and form non-overlapping territories is unknown. Here we identify a molecular mechanism regulating astrocyte-astrocyte interactions during development to coordinate astrocyte morphogenesis and gap junction coupling. We show that hepaCAM, a disease-linked, astrocyte-enriched cell adhesion molecule, regulates astrocyte competition for territory and morphological complexity in the developing mouse cortex. Furthermore, conditional deletion of Hepacam from developing astrocytes significantly impairs gap junction coupling between astrocytes and disrupts the balance between synaptic excitation and inhibition. Mutations in HEPACAM cause megalencephalic leukoencephalopathy with subcortical cysts in humans. Therefore, our findings suggest that disruption of astrocyte self-organization mechanisms could be an underlying cause of neural pathology.},
  author       = {Baldwin, Katherine T. and Tan, Christabel X. and Strader, Samuel T. and Jiang, Changyu and Savage, Justin T. and Elorza-Vidal, Xabier and Contreras, Ximena and Rülicke, Thomas and Hippenmeyer, Simon and Estévez, Raúl and Ji, Ru-Rong and Eroglu, Cagla},
  issn         = {1097-4199},
  journal      = {Neuron},
  number       = {15},
  pages        = {2427--2442.e10},
  publisher    = {Elsevier},
  title        = {{HepaCAM controls astrocyte self-organization and coupling}},
  doi          = {10.1016/j.neuron.2021.05.025},
  volume       = {109},
  year         = {2021},
}

@article{7815,
  abstract     = {Beginning from a limited pool of progenitors, the mammalian cerebral cortex forms highly organized functional neural circuits. However, the underlying cellular and molecular mechanisms regulating lineage transitions of neural stem cells (NSCs) and eventual production of neurons and glia in the developing neuroepithelium remains unclear. Methods to trace NSC division patterns and map the lineage of clonally related cells have advanced dramatically. However, many contemporary lineage tracing techniques suffer from the lack of cellular resolution of progeny cell fate, which is essential for deciphering progenitor cell division patterns. Presented is a protocol using mosaic analysis with double markers (MADM) to perform in vivo clonal analysis. MADM concomitantly manipulates individual progenitor cells and visualizes precise division patterns and lineage progression at unprecedented single cell resolution. MADM-based interchromosomal recombination events during the G2-X phase of mitosis, together with temporally inducible CreERT2, provide exact information on the birth dates of clones and their division patterns. Thus, MADM lineage tracing provides unprecedented qualitative and quantitative optical readouts of the proliferation mode of stem cell progenitors at the single cell level. MADM also allows for examination of the mechanisms and functional requirements of candidate genes in NSC lineage progression. This method is unique in that comparative analysis of control and mutant subclones can be performed in the same tissue environment in vivo. Here, the protocol is described in detail, and experimental paradigms to employ MADM for clonal analysis and lineage tracing in the developing cerebral cortex are demonstrated. Importantly, this protocol can be adapted to perform MADM clonal analysis in any murine stem cell niche, as long as the CreERT2 driver is present.},
  author       = {Beattie, Robert J and Streicher, Carmen and Amberg, Nicole and Cheung, Giselle T and Contreras, Ximena and Hansen, Andi H and Hippenmeyer, Simon},
  issn         = {1940-087X},
  journal      = {Journal of Visual Experiments},
  number       = {159},
  publisher    = {MyJove Corporation},
  title        = {{Lineage tracing and clonal analysis in developing cerebral cortex using mosaic analysis with double markers (MADM)}},
  doi          = {10.3791/61147},
  year         = {2020},
}

@phdthesis{7902,
  abstract     = {Mosaic genetic analysis has been widely used in different model organisms such as the fruit fly to study gene-function in a cell-autonomous or tissue-specific fashion. More recently, and less easily conducted, mosaic genetic analysis in mice has also been enabled with the ambition to shed light on human gene function and disease. These genetic tools are of particular interest, but not restricted to, the study of the brain. Notably, the MADM technology offers a genetic approach in mice to visualize and concomitantly manipulate small subsets of genetically defined cells at a clonal level and single cell resolution. MADM-based analysis has already advanced the study of genetic mechanisms regulating brain development and is expected that further MADM-based analysis of genetic alterations will continue to reveal important insights on the fundamental principles of development and disease to potentially assist in the development of new therapies or treatments.
In summary, this work completed and characterized the necessary genome-wide genetic tools to perform MADM-based analysis at single cell level of the vast majority of mouse genes in virtually any cell type and provided a protocol to perform lineage tracing using the novel MADM resource. Importantly, this work also explored and revealed novel aspects of biologically relevant events in an in vivo context, such as the chromosome-specific bias of chromatid sister segregation pattern, the generation of cell-type diversity in the cerebral cortex and in the cerebellum and finally, the relevance of the interplay between the cell-autonomous gene function and cell-non-autonomous (community) effects in radial glial progenitor lineage progression.
This work provides a foundation and opens the door to further elucidating the molecular mechanisms underlying neuronal diversity and astrocyte generation.},
  author       = {Contreras, Ximena},
  issn         = {2663-337X},
  pages        = {214},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Genetic dissection of neural development in health and disease at single cell resolution}},
  doi          = {10.15479/AT:ISTA:7902},
  year         = {2020},
}

@article{6830,
  author       = {Contreras, Ximena and Hippenmeyer, Simon},
  issn         = {10974199},
  journal      = {Neuron},
  number       = {5},
  pages        = {750--752},
  publisher    = {Elsevier},
  title        = {{Memo1 tiles the radial glial cell grid}},
  doi          = {10.1016/j.neuron.2019.08.021},
  volume       = {103},
  year         = {2019},
}

@article{28,
  abstract     = {This scientific commentary refers to ‘NEGR1 and FGFR2 cooperatively regulate cortical development and core behaviours related to autism disorders in mice’ by Szczurkowska et al. },
  author       = {Contreras, Ximena and Hippenmeyer, Simon},
  journal      = {Brain a journal of neurology},
  number       = {9},
  pages        = {2542 -- 2544},
  publisher    = {Oxford University Press},
  title        = {{Incorrect trafficking route leads to autism}},
  doi          = {10.1093/brain/awy218},
  volume       = {141},
  year         = {2018},
}

@article{3,
  abstract     = {SETD5 gene mutations have been identified as a frequent cause of idiopathic intellectual disability. Here we show that Setd5-haploinsufficient mice present developmental defects such as abnormal brain-to-body weight ratios and neural crest defect-associated phenotypes. Furthermore, Setd5-mutant mice show impairments in cognitive tasks, enhanced long-term potentiation, delayed ontogenetic profile of ultrasonic vocalization, and behavioral inflexibility. Behavioral issues are accompanied by abnormal expression of postsynaptic density proteins previously associated with cognition. Our data additionally indicate that Setd5 regulates RNA polymerase II dynamics and gene transcription via its interaction with the Hdac3 and Paf1 complexes, findings potentially explaining the gene expression defects observed in Setd5-haploinsufficient mice. Our results emphasize the decisive role of Setd5 in a biological pathway found to be disrupted in humans with intellectual disability and autism spectrum disorder.},
  author       = {Deliu, Elena and Arecco, Niccoló and Morandell, Jasmin and Dotter, Christoph and Contreras, Ximena and Girardot, Charles and Käsper, Eva and Kozlova, Alena and Kishi, Kasumi and Chiaradia, Ilaria and Noh, Kyung and Novarino, Gaia},
  journal      = {Nature Neuroscience},
  number       = {12},
  pages        = {1717 -- 1727},
  publisher    = {Nature Publishing Group},
  title        = {{Haploinsufficiency of the intellectual disability gene SETD5 disturbs developmental gene expression and cognition}},
  doi          = {10.1038/s41593-018-0266-2},
  volume       = {21},
  year         = {2018},
}

