A Genome-wide Library of MADM Mice for Single-Cell Genetic Mosaic Analysis
| Autor: | Amarbayasgalan Davaatseren, Simon Hippenmeyer, Randy L. Johnson, Anna Heger, Lill Andersen, Tina Bernthaler, Ximena Contreras, Johanna Sonntag, Thomas Rülicke, Liqun Luo, Nicole Amberg, Andi H. Hansen, Lindsay A. Schwarz |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Lineage (genetic) Mechanism (biology) Somatic stem cell division Computational biology Biology Genome Phenotype Sister chromatid segregation 03 medical and health sciences 0302 clinical medicine Genomic imprinting Gene 030217 neurology & neurosurgery 030304 developmental biology |
| Zdroj: | bioRxiv The Preprint Server for Biology |
| DOI: | 10.1101/2020.06.05.136192 |
| Popis: | SUMMARYMosaic Analysis with Double Markers (MADM) offers a unique 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 functionsin vivoin health and disease. Yet, MADM could only be applied to 96% of the entire mouse genome can now be subjected to single-cell genetic mosaic analysis. Beyond proof-of-principle, we applied our MADM library to systematically trace sister chromatid segregation in distinct mitotic cell lineages. We found striking chromosome-specific biases in segregation patterns, reflecting a putative mechanism for the asymmetric segregation of genetic determinants in somatic stem cell division. |
| Databáze: | OpenAIRE |
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