TF-COMB - Discovering grammar of transcription factor binding sites

被引:13
作者
Bentsen, Mette [1 ]
Heger, Vanessa [1 ]
Schultheis, Hendrik [1 ]
Kuenne, Carsten [1 ]
Looso, Mario [1 ,2 ]
机构
[1] Max Planck Inst Heart & Lung Res, Bioinformat Core Unit BCU, Bad Nauheim, Germany
[2] Cardiopulm Inst CPI, Bad Nauheim, Germany
关键词
Transcription factors; Co; -occurrence; Grammar; Networks; Gene regulation; DNA ELEMENTS; ENCYCLOPEDIA; DATABASE; REGIONS; GENOME; ROLES;
D O I
10.1016/j.csbj.2022.07.025
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cooperativity between transcription factors is important to regulate target gene expression. In particular, the binding grammar of TFs in relation to each other, as well as in the context of other genomic elements, is crucial for TF functionality. However, tools to easily uncover co-occurrence between DNA-binding pro-teins, and investigate the regulatory modules of TFs, are limited. Here we present TF-COMB (Transcription Factor Co-Occurrence using Market Basket analysis) -a tool to investigate co-occurring TFs and binding grammar within regulatory regions. We found that TF-COMB can accurately identify known co-occurring TFs from ChIP-seq data, as well as uncover preferential localization to other genomic elements. With the use of ATAC-seq footprinting and TF motif locations, we found that TFs exhibit both preferred orientation and distance in relation to each other, and that these are biologically significant. Finally, we extended the analysis to not only investigate individual TF pairs, but also TF pairs in the con-text of networks, which enabled the investigation of TF complexes and TF hubs. In conclusion, TF-COMB is a flexible tool to investigate various aspects of TF binding grammar. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:4040 / 4051
页数:12
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