The promise of single-cell RNA sequencing for kidney disease investigation

Kidney Int. 2017 Dec;92(6):1334-1342. doi: 10.1016/j.kint.2017.06.033. Epub 2017 Oct 12.

Abstract

Recent techniques for single-cell RNA sequencing (scRNA-seq) at high throughput are leading to profound new discoveries in biology. The ability to generate vast amounts of transcriptomic data at cellular resolution represents a transformative advance, allowing the identification of novel cell types, states, and dynamics. In this review, we summarize the development of scRNA-seq methodologies and highlight their advantages and drawbacks. We discuss available software tools for analyzing scRNA-Seq data and summarize current computational challenges. Finally, we outline ways in which this powerful technology might be applied to discovery research in kidney development and disease.

Keywords: gene expression; single cell; transcription regulation.

Publication types

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

MeSH terms

  • Computational Biology / methods
  • Gene Expression Profiling
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Kidney Diseases / diagnosis
  • Kidney Diseases / genetics*
  • RNA / genetics*
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*
  • Software
  • Transcriptome / genetics

Substances

  • RNA