1. Single-cell, whole-embryo phenotyping of mammalian developmental disorders
- Author
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Huang, Xingfan, Henck, Jana, Qiu, Chengxiang, Sreenivasan, Varun KA, Balachandran, Saranya, Amarie, Oana V, Hrabě de Angelis, Martin, Behncke, Rose Yinghan, Chan, Wing-Lee, Despang, Alexandra, Dickel, Diane E, Duran, Madeleine, Feuchtinger, Annette, Fuchs, Helmut, Gailus-Durner, Valerie, Haag, Natja, Hägerling, Rene, Hansmeier, Nils, Hennig, Friederike, Marshall, Cooper, Rajderkar, Sudha, Ringel, Alessa, Robson, Michael, Saunders, Lauren M, da Silva-Buttkus, Patricia, Spielmann, Nadine, Srivatsan, Sanjay R, Ulferts, Sascha, Wittler, Lars, Zhu, Yiwen, Kalscheuer, Vera M, Ibrahim, Daniel M, Kurth, Ingo, Kornak, Uwe, Visel, Axel, Pennacchio, Len A, Beier, David R, Trapnell, Cole, Cao, Junyue, Shendure, Jay, and Spielmann, Malte
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Genetics ,Human Genome ,1.1 Normal biological development and functioning ,Generic health relevance ,Animals ,Mice ,Cell Nucleus ,Developmental Disabilities ,Embryo ,Mammalian ,Gain of Function Mutation ,Genotype ,Loss of Function Mutation ,Models ,Genetic ,Mutation ,Phenotype ,Single-Cell Gene Expression Analysis ,Disease Models ,Animal ,General Science & Technology - Abstract
Mouse models are a critical tool for studying human diseases, particularly developmental disorders1. However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse2. Here we set out to establish single-cell RNA sequencing of the whole embryo as a scalable platform for the systematic phenotyping of mouse genetic models. We applied combinatorial indexing-based single-cell RNA sequencing3 to profile 101 embryos of 22 mutant and 4 wild-type genotypes at embryonic day 13.5, altogether profiling more than 1.6 million nuclei. The 22 mutants represent a range of anticipated phenotypic severities, from established multisystem disorders to deletions of individual regulatory regions4,5. We developed and applied several analytical frameworks for detecting differences in composition and/or gene expression across 52 cell types or trajectories. Some mutants exhibit changes in dozens of trajectories whereas others exhibit changes in only a few cell types. We also identify differences between widely used wild-type strains, compare phenotyping of gain- versus loss-of-function mutants and characterize deletions of topological associating domain boundaries. Notably, some changes are shared among mutants, suggesting that developmental pleiotropy might be 'decomposable' through further scaling of this approach. Overall, our findings show how single-cell profiling of whole embryos can enable the systematic molecular and cellular phenotypic characterization of mouse mutants with unprecedented breadth and resolution.
- Published
- 2023