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.

Original languageEnglish
Pages (from-to)1334-1342
Number of pages9
JournalKidney International
Issue number6
StatePublished - Dec 2017


  • gene expression
  • single cell
  • transcription regulation


Dive into the research topics of 'The promise of single-cell RNA sequencing for kidney disease investigation'. Together they form a unique fingerprint.

Cite this