PT  - JOURNAL ARTICLE
AU  - Zeyang Shen
AU  - Rick Z. Li
AU  - Thomas A. Prohaska
AU  - Marten A. Hoeksema
AU  - Nathan J. Spann
AU  - Jenhan Tao
AU  - Gregory J. Fonseca
AU  - Thomas Le
AU  - Lindsey Stolze
AU  - Mashito Sakai
AU  - Casey E. Romanoski
AU  - Christopher K. Glass
TI  - Systematic analysis of naturally occurring insertions and deletions that alter transcription factor spacing identifies tolerant and sensitive transcription factor pairs
AID  - 10.1101/2020.04.02.021535
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2020.04.02.021535
4099  - http://biorxiv.org/content/early/2021/06/21/2020.04.02.021535.short
4100  - http://biorxiv.org/content/early/2021/06/21/2020.04.02.021535.full
AB  - Regulation of gene expression requires the combinatorial binding of sequence-specific transcription factors (TFs) at promoters and enhancers. Prior studies showed that alterations in the spacing between TF binding sites can influence promoter and enhancer activity. However, the relative importance of TF spacing alterations resulting from naturally occurring insertions and deletions (InDels) has not been systematically analyzed. To address this question, we first characterized the genome-wide spacing relationships of 75 TFs in K562 cells as determined by ChIP-sequencing. We found a dominant pattern of a relaxed range of spacing between collaborative factors, including 46 TFs exclusively exhibiting relaxed spacing with their binding partners. Next, we exploited millions of InDels provided by genetically diverse mouse strains and human individuals to investigate the effects of altered spacing on TF binding and local histone acetylation. Spacing alterations resulting from naturally occurring InDels are generally tolerated in comparison to genetic variants directly affecting TF binding sites. A remarkable range of tolerance was further established for PU.1 and C/EBPβ, which exhibit relaxed spacing, by introducing synthetic spacing alterations ranging from 5-bp increase to >30-bp decrease using CRISPR/Cas9 mutagenesis. These findings provide implications for understanding mechanisms underlying enhancer selection and for the interpretation of non-coding genetic variation.Competing Interest StatementThe authors have declared no competing interest.