Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

BC-TFdb

General information

URL: https://www.dqweilab-sjtu.com/index.php
Full name: Breast Cancer Transcription Factors database
Description: BC-TFdb provides BC driver TFs-related information including genomic sequences, proteomic sequences, structural data, pathway information, mutations information, DNA binding residues, survival, and therapeutic resources.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Shanghai Jiao Tong University
Address: Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Dong-Qing Wei
Contact email (PI/Helpdesk): dqwei@sjtu.edu.cn

Publications

33882119
BC-TFdb: a database of transcription factor drivers in breast cancer. [PMID: 33882119]
Abbas Khan, Taimoor Khan, Syed Nouman Nasir, Syed Shujait Ali, Muhammad Suleman, Muhammad Rizwan, Muhammad Waseem, Shahid Ali, Xia Zhao, Dong-Qing Wei

Transcription factors (TFs) are DNA-binding proteins, which regulate many essential biological functions. In several cancer types, TF function is altered by various direct mechanisms, including gene amplification or deletion, point mutations, chromosomal translocations, expression alterations, as well as indirectly by non-coding DNA mutations influencing the binding of the TF. TFs are also actively involved in breast cancer (BC) initiation and progression. Herein, we have developed an open-access database, BC-TFdb (Breast Cancer Transcription Factors database), of curated, non-redundant TF involved in BC. The database provides BC driver TFs related information including genomic sequences, proteomic sequences, structural data, pathway information, mutations information, DNA binding residues, survival and therapeutic resources. The database will be a useful platform for researchers to obtain BC-related TF-specific information. High-quality datasets are downloadable for users to evaluate and develop computational methods for drug designing against BC. Database URL: https://www.dqweilab-sjtu.com/index.php.

Database (Oxford). 2021:2021() | 5 Citations (from Europe PMC, 2026-04-11)

Ranking

All databases:
5493/6932 (20.773%)
Gene genome and annotation:
1644/2039 (19.421%)
5493
Total Rank
4
Citations
0.8
z-index

Community reviews

0 Stars (1)
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2022-04-20
Curated by:
Lina Ma [2022-06-07]
Lin Liu [2022-06-06]
Lin Liu [2022-05-23]
Yuxin Qin [2022-04-20]