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MTFAP: a comprehensive platform for predicting and analyzing master transcription factors.

Authors :
Zhou, Jianyuan
Yu, Haojie
Lou, Chunhui
Yang, Min
Li, Yanshang
Yang, Qian
Li, Shuhan
Ji, Chunwang
Li, Song
Wang, Shuang
Cao, Haotian
Li, Xuecang
Liu, Lian
Source :
Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-8. 8p.
Publication Year :
2024

Abstract

Master transcription factors (MTFs) activate gene expression in pluripotent embryonic stem cells (ESCs) by binding to enhancers and super-enhancers, which precisely control ESC fate. Compelling evidence reveals a strong correlation between the operation of MTFs and the initiation and progression of cancer. Nevertheless, the challenge of identifying MTFs imposes a barrier for researchers. Therefore, we developed a master transcription factors prediction and analysis web resource (MTFAP). MTFAP is a comprehensive web tool designed to predict and analyze MTFs with different data types. To enhance user experience and facilitate exploration of interest MTFs, MTFAP offers search and browse functionalities. Furthermore, we have developed a Docker file to empower users with the capability to conduct localized analyses Additionally, MTFAP extends support for further analysis and data visualization for the MTFs identified by Coltron and CRCmapper. The platform is freely available at http://www.xiejjlab.bio/MTFAP/ [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
181944355
Full Text :
https://doi.org/10.1038/s41598-024-83686-9