Single-cell, whole-embryo phenotyping of mammalian developmental disorders

Author:

Huang Xingfan,Henck Jana,Qiu ChengxiangORCID,Sreenivasan Varun K. A.ORCID,Balachandran Saranya,Amarie Oana V.ORCID,Hrabě de Angelis MartinORCID,Behncke Rose YinghanORCID,Chan Wing-Lee,Despang Alexandra,Dickel Diane E.ORCID,Duran MadeleineORCID,Feuchtinger Annette,Fuchs HelmutORCID,Gailus-Durner ValerieORCID,Haag Natja,Hägerling Rene,Hansmeier NilsORCID,Hennig Friederike,Marshall Cooper,Rajderkar SudhaORCID,Ringel Alessa,Robson MichaelORCID,Saunders Lauren M.ORCID,da Silva-Buttkus Patricia,Spielmann Nadine,Srivatsan Sanjay R.,Ulferts Sascha,Wittler Lars,Zhu YiwenORCID,Kalscheuer Vera M.ORCID,Ibrahim Daniel M.ORCID,Kurth IngoORCID,Kornak UweORCID,Visel AxelORCID,Pennacchio Len A.ORCID,Beier David R.,Trapnell ColeORCID,Cao JunyueORCID,Shendure JayORCID,Spielmann MalteORCID

Abstract

AbstractMouse 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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