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Unified single-cell analysis of testis gene regulation and pathology in five mouse strains
To fully exploit the potential of single-cell functional genomics in the study of development and disease, robust methods are needed to simplify the analysis of data across samples, time-points and individuals. Here we introduce a model-based factor analysis method, SDA, to analyze a novel 57,600 ce...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615865/ https://www.ncbi.nlm.nih.gov/pubmed/31237565 http://dx.doi.org/10.7554/eLife.43966 |
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author | Jung, Min Wells, Daniel Rusch, Jannette Ahmad, Suhaira Marchini, Jonathan Myers, Simon R Conrad, Donald F |
author_facet | Jung, Min Wells, Daniel Rusch, Jannette Ahmad, Suhaira Marchini, Jonathan Myers, Simon R Conrad, Donald F |
author_sort | Jung, Min |
collection | PubMed |
description | To fully exploit the potential of single-cell functional genomics in the study of development and disease, robust methods are needed to simplify the analysis of data across samples, time-points and individuals. Here we introduce a model-based factor analysis method, SDA, to analyze a novel 57,600 cell dataset from the testes of wild-type mice and mice with gonadal defects due to disruption of the genes Mlh3, Hormad1, Cul4a or Cnp. By jointly analyzing mutant and wild-type cells we decomposed our data into 46 components that identify novel meiotic gene-regulatory programs, mutant-specific pathological processes, and technical effects, and provide a framework for imputation. We identify, de novo, DNA sequence motifs associated with individual components that define temporally varying modes of gene expression control. Analysis of SDA components also led us to identify a rare population of macrophages within the seminiferous tubules of Mlh3(-/-) and Hormad1(-/-) mice, an area typically associated with immune privilege. |
format | Online Article Text |
id | pubmed-6615865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-66158652019-07-11 Unified single-cell analysis of testis gene regulation and pathology in five mouse strains Jung, Min Wells, Daniel Rusch, Jannette Ahmad, Suhaira Marchini, Jonathan Myers, Simon R Conrad, Donald F eLife Computational and Systems Biology To fully exploit the potential of single-cell functional genomics in the study of development and disease, robust methods are needed to simplify the analysis of data across samples, time-points and individuals. Here we introduce a model-based factor analysis method, SDA, to analyze a novel 57,600 cell dataset from the testes of wild-type mice and mice with gonadal defects due to disruption of the genes Mlh3, Hormad1, Cul4a or Cnp. By jointly analyzing mutant and wild-type cells we decomposed our data into 46 components that identify novel meiotic gene-regulatory programs, mutant-specific pathological processes, and technical effects, and provide a framework for imputation. We identify, de novo, DNA sequence motifs associated with individual components that define temporally varying modes of gene expression control. Analysis of SDA components also led us to identify a rare population of macrophages within the seminiferous tubules of Mlh3(-/-) and Hormad1(-/-) mice, an area typically associated with immune privilege. eLife Sciences Publications, Ltd 2019-06-25 /pmc/articles/PMC6615865/ /pubmed/31237565 http://dx.doi.org/10.7554/eLife.43966 Text en © 2019, Jung et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Jung, Min Wells, Daniel Rusch, Jannette Ahmad, Suhaira Marchini, Jonathan Myers, Simon R Conrad, Donald F Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title | Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title_full | Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title_fullStr | Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title_full_unstemmed | Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title_short | Unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
title_sort | unified single-cell analysis of testis gene regulation and pathology in five mouse strains |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615865/ https://www.ncbi.nlm.nih.gov/pubmed/31237565 http://dx.doi.org/10.7554/eLife.43966 |
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