ArticleScientific reports2017
mTFkb: a knowledgebase for fundamental annotation of mouse transcription factors.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Global and precise identification of functional miRNA targets in mESCs by integrative analysis.EMBO reports · 2022Article
- Single-cell analysis reveals X upregulation is not global in pre-gastrulation embryos.iScience · 2022Article
- NAMS webserver: coding potential assessment and functional annotation of plant transcripts.Briefings in bioinformatics · 2021Article
- MyoData: An expression knowledgebase at single cell/nucleus level for the discovery of coding-noncoding RNA functional interactions in skeletal muscle.Computational and structural biotechnology journal · 2021Article
- Msuite: A High-Performance and Versatile DNA Methylation Data-Analysis Toolkit.Patterns (New York, N.Y.) · 2020Article
- Rapid preliminary purity evaluation of tumor biopsies using deep learning approach.Computational and structural biotechnology journal · 2020Article
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3 authors.
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Abstract
Transcription factors (TFs) are well-known important regulators in cell biology and tissue development. However, in mouse, one of the most widely-used model species, currently the vast majority of the known TFs have not been functionally studied due to the lack of sufficient annotations. To this end, we collected and analyzed the whole transcriptome sequencing data from more than 30 major mouse tissues and used the expression profiles to annotate the TFs. We found that the expression patterns of the TFs are highly correlated with the histology of the tissue types thus can be used to infer the potential functions of the TFs. Furthermore, we found that as many as 30% TFs display tissue-specific expression pattern, and these tissue-specific TFs are among the key TFs in their corresponding tissues. We also observed signals of divergent transcription associated with many TFs with unique expression pattern. Lastly, we have integrated all the data, our analysis results as well as various annotation resources to build a web-based database named mTFkb freely accessible at http://www.myogenesisdb.org/mTFkb/ . We believe that mTFkb could serve as a useful and valuable resource for TF studies in mouse.
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