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Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development
The current understanding of mammalian kidney development is largely based on mouse models. Recent landmark studies revealed pervasive differences in renal embryogenesis between mouse and human. The scarcity of detailed gene expression data in humans therefore hampers a thorough understanding of hum...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400406/ https://www.ncbi.nlm.nih.gov/pubmed/30789893 http://dx.doi.org/10.1371/journal.pbio.3000152 |
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author | Hochane, Mazène van den Berg, Patrick R. Fan, Xueying Bérenger-Currias, Noémie Adegeest, Esmée Bialecka, Monika Nieveen, Maaike Menschaart, Maarten Chuva de Sousa Lopes, Susana M. Semrau, Stefan |
author_facet | Hochane, Mazène van den Berg, Patrick R. Fan, Xueying Bérenger-Currias, Noémie Adegeest, Esmée Bialecka, Monika Nieveen, Maaike Menschaart, Maarten Chuva de Sousa Lopes, Susana M. Semrau, Stefan |
author_sort | Hochane, Mazène |
collection | PubMed |
description | The current understanding of mammalian kidney development is largely based on mouse models. Recent landmark studies revealed pervasive differences in renal embryogenesis between mouse and human. The scarcity of detailed gene expression data in humans therefore hampers a thorough understanding of human kidney development and the possible developmental origin of kidney diseases. In this paper, we present a single-cell transcriptomics study of the human fetal kidney. We identified 22 cell types and a host of marker genes. Comparison of samples from different developmental ages revealed continuous gene expression changes in podocytes. To demonstrate the usefulness of our data set, we explored the heterogeneity of the nephrogenic niche, localized podocyte precursors, and confirmed disease-associated marker genes. With close to 18,000 renal cells from five different developmental ages, this study provides a rich resource for the elucidation of human kidney development, easily accessible through an interactive web application. |
format | Online Article Text |
id | pubmed-6400406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64004062019-03-17 Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development Hochane, Mazène van den Berg, Patrick R. Fan, Xueying Bérenger-Currias, Noémie Adegeest, Esmée Bialecka, Monika Nieveen, Maaike Menschaart, Maarten Chuva de Sousa Lopes, Susana M. Semrau, Stefan PLoS Biol Methods and Resources The current understanding of mammalian kidney development is largely based on mouse models. Recent landmark studies revealed pervasive differences in renal embryogenesis between mouse and human. The scarcity of detailed gene expression data in humans therefore hampers a thorough understanding of human kidney development and the possible developmental origin of kidney diseases. In this paper, we present a single-cell transcriptomics study of the human fetal kidney. We identified 22 cell types and a host of marker genes. Comparison of samples from different developmental ages revealed continuous gene expression changes in podocytes. To demonstrate the usefulness of our data set, we explored the heterogeneity of the nephrogenic niche, localized podocyte precursors, and confirmed disease-associated marker genes. With close to 18,000 renal cells from five different developmental ages, this study provides a rich resource for the elucidation of human kidney development, easily accessible through an interactive web application. Public Library of Science 2019-02-21 /pmc/articles/PMC6400406/ /pubmed/30789893 http://dx.doi.org/10.1371/journal.pbio.3000152 Text en © 2019 Hochane et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods and Resources Hochane, Mazène van den Berg, Patrick R. Fan, Xueying Bérenger-Currias, Noémie Adegeest, Esmée Bialecka, Monika Nieveen, Maaike Menschaart, Maarten Chuva de Sousa Lopes, Susana M. Semrau, Stefan Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title | Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title_full | Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title_fullStr | Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title_full_unstemmed | Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title_short | Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
title_sort | single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400406/ https://www.ncbi.nlm.nih.gov/pubmed/30789893 http://dx.doi.org/10.1371/journal.pbio.3000152 |
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