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Dataset Information

Identifying transcription factors with cell-type specific DNA binding signatures.


ABSTRACT:

Background

Transcription factors (TFs) bind to different parts of the genome in different types of cells, but it is usually assumed that the inherent DNA-binding preferences of a TF are invariant to cell type. Yet, there are several known examples of TFs that switch their DNA-binding preferences in different cell types, and yet more examples of other mechanisms, such as steric hindrance or cooperative binding, that may result in a "DNA signature" of differential binding.

Results

To survey this phenomenon systematically, we developed a deep learning method we call SigTFB (Signatures of TF Binding) to detect and quantify cell-type specificity in a TF's known genomic binding sites. We used ENCODE ChIP-seq data to conduct a wide scale investigation of 169 distinct TFs in up to 1

SUBMITTER: Awdeh A 

PROVIDER: S-EPMC11472444 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature