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

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/.

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Publication Details

Journal
Scientific Reports
Published
2024-12-30
DOI
https://doi.org/10.1038/s41598-024-83686-9
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Li Song, Chunyan Ji, Changjie Lou, Min Yang et al.
Scientific Reports
Genomics and Chromatin Dynamics
article

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

Li Song, Chunyan Ji, Changjie Lou, Min Yang, Xuecang Li, Shuhan Li, Yanshang Li, Haojie Yu, Lian Liu, Qian Yang, Haotian Cao, Jianyuan Zhou, Shuang Wang
article en

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/.

Scientific ReportsVol. 14(1)
Harbin Medical University (CN), Sun Yat-sen University (CN), Shantou University (CN), Daqing City People's Hospital (CN), Sun Yat-sen Memorial Hospital (CN), Shantou University Medical College (CN), Qilu Hospital of Shandong University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 79%
Genomics and Chromatin Dynamics
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