Seven myths of how transcription factors read the cis-regulatory code
- PMID: 33134611
- PMCID: PMC7592701
- DOI: 10.1016/j.coisb.2020.08.002
Seven myths of how transcription factors read the cis-regulatory code
Abstract
Genomics data are now being generated at large quantities, of exquisite high resolution and from single cells. They offer a unique opportunity to develop powerful machine learning algorithms, including neural networks, to uncover the rules of the cis-regulatory code. However, current modeling assumptions are often not based on state-of-the-art knowledge of the cis-regulatory code from transcription, developmental genetics, imaging and structural studies. Here I aim to fill this gap by giving a brief historical overview of the field, describing common misconceptions and providing knowledge that might help to guide computational approaches. I will describe the principles and mechanisms involved in the combinatorial requirement of transcription factor binding motifs for enhancer activity, including the role of chromatin accessibility, repressors and low-affinity motifs in the cis-regulatory code. Deciphering the cis-regulatory code would unlock an enormous amount of regulatory information in the genome and would allow us to locate cis-regulatory genetic variants involved in development and disease.
Keywords: Transcription factors; chromatin accessibility; cis-regulatory code; cooperative binding; enhancer repression; low-affinity binding motif; motif syntax; transcriptional regulatory networks.
Conflict of interest statement
Conflict of interest statement J.Z. owns a patent on ChIP-nexus (Patent No. 10287628).
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