ArticleNucleic acids research2022
TF-Marker: a comprehensive manually curated database for transcription factors and related markers in specific cell and tissue types in human.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells.Genome biology · 2025Pooled it
- TSProm: deep learning framework to predict tissue-specific regulatory logic.NAR genomics and bioinformatics · 2026Article
- CCCdb: a comprehensive manually curated database for cell-cell communication in human and mouse.Nucleic acids research · 2026Article
- TSProm: Deciphering the Genomic Context of Tissue Specificity.bioRxiv : the preprint server for biology · 2025Article
- Characterization of Ultra-Short plasma Cell-Free DNA in maternal blood and its preliminary potential as a screening marker for preeclampsia.Molecular medicine (Cambridge, Mass.) · 2025Article
- Cross-expression meta-analysis of 695 brain samples reveals coordinated gene expression across spatially adjacent cells.bioRxiv : the preprint server for biology · 2025Article
- A unified analysis of atlas single-cell data.Genome research · 2025Article
- Identification of Cell Fate Determining Transcription Factors for Generating Brain Endothelial Cells.Stem cell reviews and reports · 2025Article
- Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization.Briefings in functional genomics · 2025Article
- Identification of miRNA-TF Regulatory Pathways Related to Diseases from a Neuroendocrine-Immune Perspective.Cellular and molecular neurobiology · 2024Article
- TFTG: A comprehensive database for human transcription factors and their targets.Computational and structural biotechnology journal · 2024Article
- Cell dynamics revealed by microscopy advances.Current opinion in cell biology · 2024Review
- Associating transcription factors to single-cell trajectories with DREAMIT.Genome biology · 2024Article
- Enhancer-MDLF: a novel deep learning framework for identifying cell-specific enhancers.Briefings in bioinformatics · 2024Article
- SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse.Nucleic acids research · 2023Article
- Landscape and significance of human super enhancer-driven core transcription regulatory circuitry.Molecular therapy. Nucleic acids · 2023Article
- Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data.Genome biology · 2023Article
- Using single cell atlas data to reconstruct regulatory networks.Nucleic acids research · 2023Article
- scHumanNet: a single-cell network analysis platform for the study of cell-type specificity of disease genes.Nucleic acids research · 2023Article
- Single-cell RNA binding protein regulatory network analyses reveal oncogenic HNRNPK-MYC signalling pathway in cancer.Communications biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription factors (TFs) play key roles in biological processes and are usually used as cell markers. The emerging importance of TFs and related markers in identifying specific cell types in human diseases increases the need for a comprehensive collection of human TFs and related markers sets. Here, we developed the TF-Marker database (TF-Marker, http://bio.liclab.net/TF-Marker/), aiming to provide cell/tissue-specific TFs and related markers for human. By manually curating thousands of published literature, 5905 entries including information about TFs and related markers were classified into five types according to their functions: (i) TF: TFs which regulate expression of the markers; (ii) T Marker: markers which are regulated by the TF; (iii) I Marker: markers which influence the activity of TFs; (iv) TFMarker: TFs which play roles as markers and (v) TF Pmarker: TFs which play roles as potential markers. The 5905 entries of TF-Marker include 1316 TFs, 1092 T Markers, 473 I Markers, 1600 TFMarkers and 1424 TF Pmarkers, involving 383 cell types and 95 tissue types in human. TF-Marker further provides a user-friendly interface to browse, query and visualize the detailed information about TFs and related markers. We believe TF-Marker will become a valuable resource to understand the regulation patterns of different tissues and cells.
Indexed as
Identifiers
What OpenQuestion holds
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.