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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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.
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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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