Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development
Mazène Hochane
Patrick R. van den Berg
Xueying Fan
Noémie Bérenger-Currias
Esmée Adegeest
Monika Bialecka
Maaike Nieveen
Maarten Menschaart
Susana M. Chuva de Sousa Lopes
Stefan Semrau
10.1371/journal.pbio.3000152
https://plos.figshare.com/articles/dataset/Single-cell_transcriptomics_reveals_gene_expression_dynamics_of_human_fetal_kidney_development/7754201
<div><p>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.</p></div>
2019-02-21 18:50:49
gene expression changes
Recent landmark studies
gene expression data
22 cell types
gene expression dynamics
disease-associated marker genes
kidney development