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author Huang, Xingfan
Henck, Jana
Qiu, Chengxiang
Sreenivasan, Varun K. A.
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
Spielmann, Malte
author_facet Huang, Xingfan
Henck, Jana
Qiu, Chengxiang
Sreenivasan, Varun K. A.
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
Spielmann, Malte
author_sort Huang, Xingfan
collection PubMed
description Mouse models are a critical tool for studying human diseases, particularly developmental disorders(1). However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse(2). 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 sequencing(3) 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 regions(4,5). 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.
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spelling pubmed-106651942023-11-15 Single-cell, whole-embryo phenotyping of mammalian developmental disorders Huang, Xingfan Henck, Jana Qiu, Chengxiang Sreenivasan, Varun K. A. 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 Spielmann, Malte Nature Article Mouse models are a critical tool for studying human diseases, particularly developmental disorders(1). However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse(2). 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 sequencing(3) 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 regions(4,5). 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. Nature Publishing Group UK 2023-11-15 2023 /pmc/articles/PMC10665194/ /pubmed/37968388 http://dx.doi.org/10.1038/s41586-023-06548-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Huang, Xingfan
Henck, Jana
Qiu, Chengxiang
Sreenivasan, Varun K. A.
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
Spielmann, Malte
Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title_full Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title_fullStr Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title_full_unstemmed Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title_short Single-cell, whole-embryo phenotyping of mammalian developmental disorders
title_sort single-cell, whole-embryo phenotyping of mammalian developmental disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665194/
https://www.ncbi.nlm.nih.gov/pubmed/37968388
http://dx.doi.org/10.1038/s41586-023-06548-w
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