MTFAP: a comprehensive platform for predicting and analyzing master transcription factors
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 progre...
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-83686-9 |
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| Summary: | 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/ |
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| ISSN: | 2045-2322 |