ArticleGenomics, proteomics & bioinformatics2020
hTFtarget: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets.
Article in Genomics, proteomics & bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 342 papers.
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Who cites it
342 citing papers in PubMed, 601 citations in OpenAlex.
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- Ferroptosis regulator NOX1 acts a diagnostic biomarker and mediates disease progression with the transcriptional regulation of STAT3 in glaucoma.Indian journal of ophthalmology · 2026Article
- A Multi-omics and Machine Learning Framework Identifies Plasma SBDS as a Causal Biomarker and Therapeutic Target in Primary Sclerosing Cholangitis.Journal of clinical and translational hepatology · 2026Article
- RAD21 regulation of the enhancer-promoter chromatin loop of RAD51 promotes PARPi resistance in ovarian cancer.Journal of translational medicine · 2026Article
- Integrated Bulk and Single-Cell Transcriptomic Analysis Followed by Clinical Validation Reveal Programmed Cell Death-Related Shared Molecular Signatures in OA and MDD.International journal of molecular sciences · 2026Article
- Cuproptosis-Related Genes in Immune Infiltration and Diagnosis in Hepatitis B Virus-Related Acute Liver Failure.Exploration (Beijing, China) · 2026Article
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282 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription factors (TFs) as key regulators play crucial roles in biological processes. The identification of TF-target regulatory relationships is a key step for revealing functions of TFs and their regulations on gene expression. The accumulated data of chromatin immunoprecipitation sequencing (ChIP-seq) provide great opportunities to discover the TF-target regulations across different conditions. In this study, we constructed a database named hTFtarget, which integrated huge human TF target resources (7190 ChIP-seq samples of 659 TFs and high-confidence binding sites of 699 TFs) and epigenetic modification information to predict accurate TF-target regulations. hTFtarget offers the following functions for users to explore TF-target regulations: (1) browse or search general targets of a query TF across datasets; (2) browse TF-target regulations for a query TF in a specific dataset or tissue; (3) search potential TFs for a given target gene or non-coding RNA; (4) investigate co-association between TFs in cell lines; (5) explore potential co-regulations for given target genes or TFs; (6) predict candidate TF binding sites on given DNA sequences; (7) visualize ChIP-seq peaks for different TFs and conditions in a genome browser. hTFtarget provides a comprehensive, reliable and user-friendly resource for exploring human TF-target regulations, which will be very useful for a wide range of users in the TF and gene expression regulation community. hTFtarget is available at http://bioinfo.life.hust.edu.cn/hTFtarget.
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Registered trials
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.