» Articles » PMID: 33594051

Loop Competition and Extrusion Model Predicts CTCF Interaction Specificity

Overview
Journal Nat Commun
Specialty Biology
Date 2021 Feb 17
PMID 33594051
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

Three-dimensional chromatin looping interactions play an important role in constraining enhancer-promoter interactions and mediating transcriptional gene regulation. CTCF is thought to play a critical role in the formation of these loops, but the specificity of which CTCF binding events form loops and which do not is difficult to predict. Loops often have convergent CTCF binding site motif orientation, but this constraint alone is only weakly predictive of genome-wide interaction data. Here we present an easily interpretable and simple mathematical model of CTCF mediated loop formation which is consistent with Cohesin extrusion and can predict ChIA-PET CTCF looping interaction measurements with high accuracy. Competition between overlapping loops is a critical determinant of loop specificity. We show that this model is consistent with observed chromatin interaction frequency changes induced by CTCF binding site deletion, inversion, and mutation, and is also consistent with observed constraints on validated enhancer-promoter interactions.

Citing Articles

FLT1 and other candidate fetal haemoglobin modifying loci in sickle cell disease in African ancestries.

Wonkam A, Esoh K, Levine R, Ngo Bitoungui V, Mnika K, Nimmagadda N Nat Commun. 2025; 16(1):2092.

PMID: 40025045 PMC: 11873275. DOI: 10.1038/s41467-025-57413-5.


Linking DNA-packing density distribution and TAD boundary locations.

Meng L, Sheong F, Luo Q Proc Natl Acad Sci U S A. 2025; 122(9):e2418456122.

PMID: 39999165 PMC: 11892626. DOI: 10.1073/pnas.2418456122.


Multifaceted role of CTCF in X-chromosome inactivation.

Bammidi L, Gayen S Chromosoma. 2024; 133(4):217-231.

PMID: 39433641 DOI: 10.1007/s00412-024-00826-w.


YY1-controlled regulatory connectivity and transcription are influenced by the cell cycle.

Lam J, Aboreden N, Midla S, Wang S, Huang A, Keller C Nat Genet. 2024; 56(9):1938-1952.

PMID: 39210046 PMC: 11687402. DOI: 10.1038/s41588-024-01871-y.


TF-EPI: an interpretable enhancer-promoter interaction detection method based on Transformer.

Liu B, Zhang W, Zeng X, Loza M, Park S, Nakai K Front Genet. 2024; 15:1444459.

PMID: 39184348 PMC: 11341371. DOI: 10.3389/fgene.2024.1444459.


References
1.
Ulirsch J, Nandakumar S, Wang L, Giani F, Zhang X, Rogov P . Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell Traits. Cell. 2016; 165(6):1530-1545. PMC: 4893171. DOI: 10.1016/j.cell.2016.04.048. View

2.
Barbieri M, Chotalia M, Fraser J, Lavitas L, Dostie J, Pombo A . Complexity of chromatin folding is captured by the strings and binders switch model. Proc Natl Acad Sci U S A. 2012; 109(40):16173-8. PMC: 3479593. DOI: 10.1073/pnas.1204799109. View

3.
Greenwald W, Li H, Benaglio P, Jakubosky D, Matsui H, Schmitt A . Subtle changes in chromatin loop contact propensity are associated with differential gene regulation and expression. Nat Commun. 2019; 10(1):1054. PMC: 6401380. DOI: 10.1038/s41467-019-08940-5. View

4.
Kim Y, Shi Z, Zhang H, Finkelstein I, Yu H . Human cohesin compacts DNA by loop extrusion. Science. 2019; 366(6471):1345-1349. PMC: 7387118. DOI: 10.1126/science.aaz4475. View

5.
Zhang Y, Liu T, Meyer C, Eeckhoute J, Johnson D, Bernstein B . Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008; 9(9):R137. PMC: 2592715. DOI: 10.1186/gb-2008-9-9-r137. View