
Understanding the Biology and Pathogenesis of the Kidney by Single-Cell Transcriptomic Analysis
Author(s) -
Yuting Ye,
Hui Song,
Jiong Zhang,
Shaolin Shi
Publication year - 2018
Publication title -
kidney diseases
Language(s) - English
Resource type - Journals
eISSN - 2296-9381
pISSN - 2296-9357
DOI - 10.1159/000492470
Subject(s) - cell type , biology , transcriptome , computational biology , gene expression , gene expression profiling , cell , population , gene , genetics , medicine , environmental health
Single-cell RNA-seq (scRNA-seq) has recently emerged as a revolutionary and powerful tool for biomedical research. However, there have been relatively few studies using scRNA-seq in the field of kidney study.