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

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

Author information

1
Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
2
Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA. Electronic address: humphreysbd@wustl.edu.

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

PMID:
28893418
PMCID:
PMC5696024
DOI:
10.1016/j.kint.2017.06.033
[Indexed for MEDLINE]
Free PMC Article

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