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TF-Marker: a comprehensive manually curated database for transcription factors and related markers in specific cell and tissue types in human.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2022 Jan 07; Vol. 50 (D1), pp. D402-D412. - Publication Year :
- 2022
-
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.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Bone and Bones chemistry
Bone and Bones metabolism
Brain metabolism
Colon chemistry
Colon metabolism
Female
Gene Expression Regulation
Genetic Markers
Humans
Internet
Liver chemistry
Liver metabolism
Lung chemistry
Lung metabolism
Male
Mammary Glands, Human chemistry
Mammary Glands, Human metabolism
Molecular Sequence Annotation
Neoplasms metabolism
Neoplasms pathology
Organ Specificity
Prostate chemistry
Prostate metabolism
Transcription Factors classification
Transcription Factors metabolism
Databases, Genetic
Neoplasms genetics
Software
Transcription Factors genetics
Transcription, Genetic
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 50
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 34986601
- Full Text :
- https://doi.org/10.1093/nar/gkab1114