Rxivist logo

Single-cell analysis of progenitor cell dynamics and lineage specification of the human fetal kidney

By Rajasree Menon, Edgar A. Otto, Austin Kokoruda, Jian Zhou, Zidong Zhang, Euisik Yoon, Yu-Chih Chen, Olga Troyanscaya, Jason R. Spence, Matthias Kretzler, Cristina Cebrián

Posted 01 Feb 2018
bioRxiv DOI: 10.1101/258798 (published DOI: 10.1242/dev.164038)

The mammalian kidney develops through repetitive and reciprocal interactions between the ureteric bud and the metanephric mesenchyme to give rise to the entire collecting system and the nephrons, respectively. Most of our knowledge of the developmental regulators driving this process has been gained from the study of gene expression and functional genetics in mice and other animal models. In order to shed light on human kidney development, we have used single-cell transcriptomics to characterize gene expression in different cell population, and to study individual cell dynamics and lineage trajectories during development. Single cell transcriptome analyses of 3,865 cells identified 17 clusters of specific cell types as defined by their gene expression profile, including markers of ureteric bud tip- and metanephric mesenchyme-specific progenitors, as well as their intermediate and differentiated lineages including the mature collecting ducts, the renal vesicle and comma- and s-shaped bodies, immature and mature podocytes, proximal tubules, loops of Henle and distal tubules. Other lineages identified include mesangium and cortical and medullary interstitium, endothelial and immune cells as well as hematopoietic cells. Novel markers for these cell types were revealed in the analysis as well as components of key signaling pathways driving renal development in animal models. Altogether, we provide a comprehensive and dynamic gene expression array of the human developing kidney at the single-cell level.

Download data

  • Downloaded 1,187 times
  • Download rankings, all-time:
    • Site-wide: 22,844
    • In developmental biology: 380
  • Year to date:
    • Site-wide: 114,832
  • Since beginning of last month:
    • Site-wide: 60,067

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News