Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jung, Min, Wells, Daniel, Rusch, Jannette, Ahmad, Suhaira, Marchini, Jonathan, Myers, Simon R, Conrad, Donald F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
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
_version_ 1783433415226294272
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
work_keys_str_mv AT jungmin unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT wellsdaniel unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT ruschjannette unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT ahmadsuhaira unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT marchinijonathan unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT myerssimonr unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains
AT conraddonaldf unifiedsinglecellanalysisoftestisgeneregulationandpathologyinfivemousestrains