RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations

RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations

Abstract Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks with causal relationships. However, a snapshot of single-cell CRISPR data may not lead to an accurate inference, since a gene knockout can influence multi-layered downst...

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Bibliographic Details
Main Authors: Masato Ishikawa, Seiichi Sugino, Yoshie Masuda, Yusuke Tarumoto, Yusuke Seto, Nobuko Taniyama, Fumi Wagai, Yuhei Yamauchi, Yasuhiro Kojima, Hisanori Kiryu, Kosuke Yusa, Mototsugu Eiraku, Atsushi Mochizuki
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05594-4

Internet

https://doi.org/10.1038/s42003-023-05594-4

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