Evidence map›Paper›PMID 33882119›Full record

ArticleDatabase : the journal of biological databases and curation2021

BC-TFdb: a database of transcription factor drivers in breast cancer.

Abbas Khan, Taimoor Khan, Syed Nouman Nasir, Syed Shujait Ali, Muhammad Suleman, Muhammad Rizwan, Muhammad Waseem, Shahid Ali, Xia Zhao, Dong-Qing Wei

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China.
Taimoor KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China.
Syed Nouman NasirCenter for Biotechnology and Microbiology, University of Swat, Swat, KP 19200, Pakistan.
Syed Shujait AliCenter for Biotechnology and Microbiology, University of Swat, Swat, KP 19200, Pakistan.
Muhammad SulemanCenter for Biotechnology and Microbiology, University of Swat, Swat, KP 19200, Pakistan.
Muhammad RizwanCenter for Biotechnology and Microbiology, University of Swat, Swat, KP 19200, Pakistan.
Muhammad WaseemFaculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad 44000, Pakistan.
Shahid AliCenter for Biotechnology and Microbiology, University of Swat, Swat, KP 19200, Pakistan.
Xia ZhaoDepartment of Microbiology, Army Medical University, Chongqing 400044, P.R. China.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China.
University of Swat · PKShanghai Jiao Tong University · CNArmy Medical University · CNRiphah International University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Breast NeoplasmsTranscription FactorsDatabases, GeneticFemaleGene Expression RegulationHumansProteomicsTranscription Factors

Identifiers

PMID33882119
PMCPMC8060005
OpenAlexW3155338553

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.