Database of transcription factors in lung cancer (DBTFLC): A novel resource for exploring transcription factors associated with lung cancer.
Thabitha AmalrajAmeya A DravidRiya TripathiSajitha Lulu SudhakaranPublished in: Journal of cellular biochemistry (2018)
Lung cancer is considered as the most prevalent form of cancer and it is found to be frequent cause of cancer related death. Even though, approved molecular targeted therapies other than chemotherapy are currently unavailable, the mechanism of pathogenesis in lung cancer remains still unclear. Transcription factors (TFs) play a critical role in cancer cell processes, such as cell proliferation, apoptosis, migration, and regulate gene expression. Thus, the identification and characterization of transcription factors involved in lung cancer would provide valuable information for further elucidation of the mechanism(s) underlying pathogenesis and the identification of potential therapeutic target types, which are critical for the development of therapeutic strategies. Through an extensive literature survey, we have identified 349 transcription factors noted for their strong involvement in lung cancer. Database of Transcription Factors in Lung Cancer (DBTFLC) was constructed as a data repository and analytical platform for systematic collection, curation of TFs and their interacting partners. The database includes all pertinent information such as lung cancer related TFs, chromosomal location, family, lung cancer type, references, TF-TF interaction(s), and TF-target gene interaction(s); thus, it could serve as a valuable resource for therapeutic studies in lung cancer. The database is freely available at http://www.vit.ac.in/files/database/Home.php.
Keyphrases
- transcription factor
- gene expression
- cell proliferation
- healthcare
- systematic review
- oxidative stress
- genome wide identification
- machine learning
- dna methylation
- high throughput
- cross sectional
- mass spectrometry
- single molecule
- deep learning
- antiretroviral therapy
- cell cycle
- hiv infected
- electronic health record
- squamous cell