TY - JOUR
T1 - The promise of single-cell RNA sequencing for kidney disease investigation
AU - Wu, Haojia
AU - Humphreys, Benjamin D.
N1 - Publisher Copyright:
© 2017 International Society of Nephrology
PY - 2017/12
Y1 - 2017/12
N2 - 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.
AB - 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.
KW - gene expression
KW - single cell
KW - transcription regulation
UR - http://www.scopus.com/inward/record.url?scp=85028805281&partnerID=8YFLogxK
U2 - 10.1016/j.kint.2017.06.033
DO - 10.1016/j.kint.2017.06.033
M3 - Short survey
C2 - 28893418
AN - SCOPUS:85028805281
SN - 0085-2538
VL - 92
SP - 1334
EP - 1342
JO - Kidney International
JF - Kidney International
IS - 6
ER -