TFTA
The Transcription Factor Target Enrichment Analysis (TFTA) is a method to elucidate the roles of transcription factors (TFs) in the dysregulation of gene expression, a common cause of diseases, including various cancers. This innovative approach focuses on detecting transcription factors' activity by quantifying their targets' collective transcriptional activation, offering critical insights into the mechanisms underlying disease progression and development. By applying TFTA to an extensive dataset comprising 5607 cancer samples across eleven cancer types, researchers have, for the first time, compiled a comprehensive catalog of altered transcription factor activities in cancer, many of which show significant associations with patient survival.
This analysis has identified transcription factors with significantly altered activity in cancer compared to normal tissue and highlighted TFs that maintain relatively stable activity levels yet substantially impact patient prognosis. These findings underscore the immense potential of certain TFs as promising targets for therapeutic intervention, marking a significant step forward in the pursuit of effective treatments.
Topic
Oncology;Computational biology;Genetics
Detail
Software interface: Command-line interface
Language: R
License: Not stated
Cost: Free of charge
Version name: -
Credit: Spanish Ministry of Economy and Competitiveness, Plataforma de Recursos Biomoleculares y Bioinformáticos, Fundació la Marató TV3.
Input: -
Output: -
Contact: Joaquin Dopazo joaquin.dopazo@juntadeandalucia.es
Collection: -
Maturity: -
Publications
- The pan-cancer pathological regulatory landscape.
- Falco MM, et al. The pan-cancer pathological regulatory landscape. The pan-cancer pathological regulatory landscape. 2016; 6:39709. doi: 10.1038/srep39709
- https://doi.org/10.1038/srep39709
- PMID: 28000771
- PMC: PMC5175166
Download and documentation
Documentation: https://github.com/babelomics/tftea/wiki
Home page: https://github.com/babelomics/TFTEA
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