Understanding the kidney one cell at a time

Kidney Int. 2019 Oct;96(4):862-870. doi: 10.1016/j.kint.2019.03.035. Epub 2019 Jul 26.


A revolution in cellular measurement technology is underway. Whereas prior studies have been able to analyze only the averaged outputs from renal tissue, we now can accurately monitor genome-wide gene expression, regulation, function, cellular history, and cellular interactions in thousands of individual cells in a single experiment. These methods are key drivers in changing our previous morphotype-based organ and disease descriptions to unbiased genomic definitions and therefore improving our understanding of kidney development, homeostasis, and disease.

Keywords: RNA-seq; epigenome; kidney disease; single cell.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Biomarkers / analysis
  • Biomarkers / metabolism
  • Epigenomics / methods*
  • Gene Expression Regulation
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Kidney / cytology
  • Kidney / physiology*
  • Kidney Diseases / diagnosis*
  • Kidney Diseases / genetics
  • Kidney Diseases / pathology
  • Kidney Diseases / physiopathology
  • Mice
  • Models, Animal
  • RNA-Seq
  • Single-Cell Analysis / methods*


  • Biomarkers