利用网络生物学实现直接命运转变。

Enabling direct fate conversion with network biology.

机构信息

Institute for Cell Engineering and in the Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

Nat Genet. 2016 Mar;48(3):226-7. doi: 10.1038/ng.3516.

DOI:10.1038/ng.3516

PMID:26906680

Abstract

Current efforts in cellular disease modeling and regenerative medicine are limited by the paucity of cell types that can be generated in the laboratory. A new study introduces a computational framework, Mogrify, that uses network biology to predict combinations of transcription factors necessary for direct conversion between human cell types to ameliorate this issue.

摘要

目前，细胞疾病建模和再生医学的研究受到可在实验室中产生的细胞类型有限的限制。一项新的研究引入了一种计算框架 Mogrifiy，该框架使用网络生物学来预测转录因子的组合，这些转录因子对于在人类细胞类型之间进行直接转化以改善这一问题是必要的。