Literature DB >> 35600920

3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin.

Xianfu Yi1,2, Menghan Luo1, Xiangling Feng1, Yao Zhou1, Jianhua Wang1, Mulin Jun Li1,3.   

Abstract

Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for computational inference of cell type-specific TR cooperation in 3D chromatin by integrating TR motifs, open chromatin profiles, gene expression, and chromatin loops. 3DCoop provides a feasible solution to study the potential interplay among TRs across multiple human or mouse tissue/cell types. For complete details on the use and execution of this protocol, please refer to Yi et al. (2021).
© 2022 The Author(s).

Entities:  

Keywords:  Bioinformatics; Gene Expression; Genetics; Genomics; Systems biology

Mesh:

Substances:

Year:  2022        PMID: 35600920      PMCID: PMC9114683          DOI: 10.1016/j.xpro.2022.101382

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


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