The Human Transcription Factors.

By Samuel A. Lambert, A. Jolma, L. Campitelli, P. Das, Yimeng Yin, Mihai Albu, Xiaoting Chen, Jussi Taipale, Timothy R. Hughes, Matthew T. Weirauch. Cell, 2018

2,780 citations recorded by the source corpus.

Samuel A. Lambert,1,9 Arttu Jolma,2,9 Laura F. Campitelli,1,9 Pratyush K. Das,3 Yimeng Yin,4 Mihai Albu,2 Xiaoting Chen,5 Jussi Taipale,3,4,6,* Timothy R. Hughes,1,2,* and Matthew T. Weirauch5,7,8,* 1Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada 2Donnelly Centre, University of Toronto, Toronto, ON, Canada 3Genome-Scale Biology Program, University of Helsinki, Helsinki, Finland 4Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden 5Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA 6Department of Biochemistry, Cambridge University, Cambridge CB2 1GA, United Kingdom 7Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA 8Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA 9These authors contributed equally *Correspondence: ajt208@cam.ac.uk (J.T.), t.hughes@utoronto.ca (T.R.H.), Matthew.Weirauch@cchmc.org (M.T.W.) https://doi.org/10.1016/j.cell.2018.01.029

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b7e82d174122865fae186c3096ab23bcbaec0cb6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

A deep proteome and transcriptome abundance atlas of 29 healthy human tissues (2018, methodology): “Transcription factor genes (IF, n=1,639) were obtained from the HumanTFs collection (Lambert et al. 2018).”
Gene regulatory network inference in the era of single-cell multi-omics (2023, neutral): “However, it is estimated that there are no available binding data for 10% of the approximately 1,600 sequence-specific TFs encoded in the human genome 31,109 .”
JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles (2023, methodology): “Within this report, we limit the application of the TF term to the subset that engages with DNA in a sequence-specific manner via DNA binding domains (DBDs) ( 1 ,2 ).”
Obtaining genetics insights from deep learning via explainable artificial intelligence (2022, background): “…from which rNa transcription is initiated, and distal regulatory elements such as enhancers, which confer patterns of specificity upon promoters 88,89 . owing to the crucial role of gene regulation in controlling the phenotype of cells 90 , new technologies for measuring cellular properties…”
Transcription factors interact with RNA to regulate genes (2022, methodology): “Each cell type expresses approximately 150-400 TFs, which together control the gene expression program of the cell (Lambert et al., 2018; Vaquerizas et al., 2009).”