@inbook{12428, abstract = {The mammary gland consists of a bilayered epithelial structure with an extensively branched morphology. The majority of this epithelial tree is laid down during puberty, during which actively proliferating terminal end buds repeatedly elongate and bifurcate to form the basic structure of the ductal tree. Mammary ducts consist of a basal and luminal cell layer with a multitude of identified sub-lineages within both layers. The understanding of how these different cell lineages are cooperatively driving branching morphogenesis is a problem of crossing multiple scales, as this requires information on the macroscopic branched structure of the gland, as well as data on single-cell dynamics driving the morphogenic program. Here we describe a method to combine genetic lineage tracing with whole-gland branching analysis. Quantitative data on the global organ structure can be used to derive a model for mammary gland branching morphogenesis and provide a backbone on which the dynamics of individual cell lineages can be simulated and compared to lineage-tracing approaches. Eventually, these quantitative models and experiments allow to understand the couplings between the macroscopic shape of the mammary gland and the underlying single-cell dynamics driving branching morphogenesis.}, author = {Hannezo, Edouard B and Scheele, Colinda L.G.J.}, booktitle = {Cell Migration in Three Dimensions}, editor = {Margadant, Coert}, isbn = {9781071628867}, issn = {1940-6029}, pages = {183--205}, publisher = {Springer Nature}, title = {{A Guide Toward Multi-scale and Quantitative Branching Analysis in the Mammary Gland}}, doi = {10.1007/978-1-0716-2887-4_12}, volume = {2608}, year = {2023}, } @inbook{12720, abstract = {Here we describe the in vivo DNA assembly approach, where molecular cloning procedures are performed using an E. coli recA-independent recombination pathway, which assembles linear fragments of DNA with short homologous termini. This pathway is present in all standard laboratory E. coli strains and, by bypassing the need for in vitro DNA assembly, allows simplified molecular cloning to be performed without the plasmid instability issues associated with specialized recombination-cloning bacterial strains. The methodology requires specific primer design and can perform all standard plasmid modifications (insertions, deletions, mutagenesis, and sub-cloning) in a rapid, simple, and cost-efficient manner, as it does not require commercial kits or specialized bacterial strains. Additionally, this approach can be used to perform complex procedures such as multiple modifications to a plasmid, as up to 6 linear fragments can be assembled in vivo by this recombination pathway. Procedures generally require less than 3 h, involving PCR amplification, DpnI digestion of template DNA, and transformation, upon which circular plasmids are assembled. In this chapter we describe the requirements, procedure, and potential pitfalls when using this technique, as well as protocol variations to overcome the most common issues.}, author = {Arroyo-Urea, Sandra and Watson, Jake and García-Nafría, Javier}, booktitle = {DNA Manipulation and Analysis}, editor = {Scarlett, Garry}, isbn = {978-1-0716-3003-7}, issn = {1940-6029}, pages = {33--44}, publisher = {Springer Nature}, title = {{Molecular Cloning Using In Vivo DNA Assembly}}, doi = {10.1007/978-1-0716-3004-4_3}, volume = {2633}, year = {2023}, } @inbook{13052, abstract = {Imaging of the immunological synapse (IS) between dendritic cells (DCs) and T cells in suspension is hampered by suboptimal alignment of cell-cell contacts along the vertical imaging plane. This requires optical sectioning that often results in unsatisfactory resolution in time and space. Here, we present a workflow where DCs and T cells are confined between a layer of glass and polydimethylsiloxane (PDMS) that orients the cells along one, horizontal imaging plane, allowing for fast en-face-imaging of the DC-T cell IS.}, author = {Leithner, Alexander F and Merrin, Jack and Sixt, Michael K}, booktitle = {The Immune Synapse}, editor = {Baldari, Cosima and Dustin, Michael}, isbn = {9781071631348}, issn = {1940-6029}, pages = {137--147}, publisher = {Springer Nature}, title = {{En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses}}, doi = {10.1007/978-1-0716-3135-5_9}, volume = {2654}, year = {2023}, } @inbook{9245, abstract = {Tissue morphogenesis is driven by mechanical forces triggering cell movements and shape changes. Quantitatively measuring tension within tissues is of great importance for understanding the role of mechanical signals acting on the cell and tissue level during morphogenesis. Here we introduce laser ablation as a useful tool to probe tissue tension within the granulosa layer, an epithelial monolayer of somatic cells that surround the zebrafish female gamete during folliculogenesis. We describe in detail how to isolate follicles, mount samples, perform laser surgery, and analyze the data.}, author = {Xia, Peng and Heisenberg, Carl-Philipp J}, booktitle = {Germline Development in the Zebrafish}, editor = {Dosch, Roland}, isbn = {978-1-0716-0969-9}, issn = {1940-6029}, keywords = {Tissue tension, Morphogenesis, Laser ablation, Zebrafish folliculogenesis, Granulosa cells}, pages = {117--128}, publisher = {Humana}, title = {{Quantifying tissue tension in the granulosa layer after laser surgery}}, doi = {10.1007/978-1-0716-0970-5_10}, volume = {2218}, year = {2021}, } @inbook{10268, abstract = {The analysis of dynamic cellular processes such as plant cytokinesis stands and falls with live-cell time-lapse confocal imaging. Conventional approaches to time-lapse imaging of cell division in Arabidopsis root tips are tedious and have low throughput. Here, we describe a protocol for long-term time-lapse simultaneous imaging of multiple root tips on a vertical-stage confocal microscope with automated root tracking. We also provide modifications of the basic protocol to implement this imaging method in the analysis of genetic, pharmacological or laser ablation wounding-mediated experimental manipulations. Our method dramatically improves the efficiency of cell division time-lapse imaging by increasing the throughput, while reducing the person-hour requirements of such experiments.}, author = {Hörmayer, Lukas and Friml, Jiří and Glanc, Matous}, booktitle = {Plant Cell Division}, isbn = {978-1-0716-1743-4}, issn = {1940-6029}, pages = {105--114}, publisher = {Humana Press}, title = {{Automated time-lapse imaging and manipulation of cell divisions in Arabidopsis roots by vertical-stage confocal microscopy}}, doi = {10.1007/978-1-0716-1744-1_6}, volume = {2382}, year = {2021}, } @inbook{11847, abstract = {This paper serves as a user guide to the Vienna graph clustering framework. We review our general memetic algorithm, VieClus, to tackle the graph clustering problem. A key component of our contribution are natural recombine operators that employ ensemble clusterings as well as multi-level techniques. Lastly, we combine these techniques with a scalable communication protocol, producing a system that is able to compute high-quality solutions in a short amount of time. After giving a description of the algorithms employed, we establish the connection of the graph clustering problem to protein–protein interaction networks and moreover give a description on how the software can be used, what file formats are expected, and how this can be used to find functional groups in protein–protein interaction networks.}, author = {Biedermann, Sonja and Henzinger, Monika H and Schulz, Christian and Schuster, Bernhard}, booktitle = {Protein-Protein Interaction Networks}, editor = {Canzar, Stefan and Rojas Ringeling, Francisca}, isbn = {9781493998722}, issn = {1940-6029}, pages = {215–231}, publisher = {Springer Nature}, title = {{Vienna Graph Clustering}}, doi = {10.1007/978-1-4939-9873-9_16}, volume = {2074}, year = {2019}, } @inbook{6178, abstract = {Mechanically coupled cells can generate forces driving cell and tissue morphogenesis during development. Visualization and measuring of these forces is of major importance to better understand the complexity of the biomechanic processes that shape cells and tissues. Here, we describe how UV laser ablation can be utilized to quantitatively assess mechanical tension in different tissues of the developing zebrafish and in cultures of primary germ layer progenitor cells ex vivo.}, author = {Smutny, Michael and Behrndt, Martin and Campinho, Pedro and Ruprecht, Verena and Heisenberg, Carl-Philipp J}, booktitle = {Tissue Morphogenesis}, editor = {Nelson, Celeste}, isbn = {9781493911639}, issn = {1940-6029}, pages = {219--235}, publisher = {Springer}, title = {{UV laser ablation to measure cell and tissue-generated forces in the zebrafish embryo in vivo and ex vivo}}, doi = {10.1007/978-1-4939-1164-6_15}, volume = {1189}, year = {2014}, } @inbook{10900, abstract = {Leukocyte migration through the interstitial space is crucial for the maintenance of tolerance and immunity. The main cues for leukocyte trafficking are chemokines thought to directionally guide these cells towards their targets. However, model systems that facilitate quantification of chemokine-guided leukocyte migration in vivo are uncommon. Here we describe an ex vivo crawl-in assay using explanted mouse ears that allows the visualization of chemokine-dependent dendritic cell (DC) motility in the dermal interstitium in real time. We present methods for the preparation of mouse ear sheets and their use in multidimensional confocal imaging experiments to monitor and analyze the directional migration of fluorescently labelled DCs through the dermis and into afferent lymphatic vessels. The assay provides a more physiological approach to study leukocyte migration than in vitro three-dimensional (3D) or 2-dimensional (2D) migration assays such as collagen gels and transwell assays.}, author = {Weber, Michele and Sixt, Michael K}, booktitle = {Chemokines}, editor = {Cardona, Astrid and Ubogu, Eroboghene}, isbn = {9781627034258}, issn = {1940-6029}, pages = {215--226}, publisher = {Humana Press}, title = {{Live Cell Imaging of Chemotactic Dendritic Cell Migration in Explanted Mouse Ear Preparations}}, doi = {10.1007/978-1-62703-426-5_14}, volume = {1013}, year = {2013}, }