Patterns of Transposable Element Distribution around Chromatin Ligation Points Revealed by Micro-C Data Analysis

Background Transposable elements constitute a significant portion of eukaryotic genomes, yet their role in chromatin organization remains poorly understood. Methods This study aimed to computationally investigate the density patterns of transposons around chromatin contact points identified from public Micro-C chromatin conformation data from human cell culture. The density peak patterns of various transposable families and subfamilies were studied within a 100kb window centered on contact points. The analysis was focused on the most abundant transposons, such as Alu and LINE-1. Results The computational analysis revealed highly pronounced, non-random density patterns of transposons around the chromatin contact points. The patterns were produced by aligning all ligation points and plotting the average density around them. The patterns were strikingly different between transposable element families and substantially different between the members of the families. The patterns were found to be reproducible across independent studies and biological replicates. Among major families and subfamilies, no members were found to have reproducible density patterns around the contact points. Randomly generated coordinates produced less pronounced patterns, which were not correlated between replicates as expected for the negative control. Conclusion Some families showed enrichment, and others demonstrated depletion at contact points, while 100Kb window-wide patterns remained correlated between biological replicates. The patterns were asymmetric relative to the chromosomal orientation. Additionally, the patterns were oriented relative to the transposon sequence direction.

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Journal
The Open Bioinformatics Journal
Published
2025-04-16
DOI
https://doi.org/10.2174/0118750362357726250410070525
Primary Topic
Genomics and Chromatin Dynamics
Type
article
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article

Patterns of Transposable Element Distribution around Chromatin Ligation Points Revealed by Micro-C Data Analysis

Alexandre A. Vetcher, Oksana Polesskaya, Max Myakishev-Rempel, Ivan Savelev et al.
The Open Bioinformatics Journal
Genomics and Chromatin Dynamics
article

Patterns of Transposable Element Distribution around Chromatin Ligation Points Revealed by Micro-C Data Analysis

Alexandre A. Vetcher, Oksana Polesskaya, Max Myakishev-Rempel, Ivan Savelev, Michael M. Rempel, Alexandr V. Vikhorev
article en

Abstract

Background Transposable elements constitute a significant portion of eukaryotic genomes, yet their role in chromatin organization remains poorly understood. Methods This study aimed to computationally investigate the density patterns of transposons around chromatin contact points identified from public Micro-C chromatin conformation data from human cell culture. The density peak patterns of various transposable families and subfamilies were studied within a 100kb window centered on contact points. The analysis was focused on the most abundant transposons, such as Alu and LINE-1. Results The computational analysis revealed highly pronounced, non-random density patterns of transposons around the chromatin contact points. The patterns were produced by aligning all ligation points and plotting the average density around them. The patterns were strikingly different between transposable element families and substantially different between the members of the families. The patterns were found to be reproducible across independent studies and biological replicates. Among major families and subfamilies, no members were found to have reproducible density patterns around the contact points. Randomly generated coordinates produced less pronounced patterns, which were not correlated between replicates as expected for the negative control. Conclusion Some families showed enrichment, and others demonstrated depletion at contact points, while 100Kb window-wide patterns remained correlated between biological replicates. The patterns were asymmetric relative to the chromosomal orientation. Additionally, the patterns were oriented relative to the transposon sequence direction.

The Open Bioinformatics JournalVol. 18(1)
Peoples' Friendship University of Russia (RU), One Resonance Sensors (United States) (US)
Openalex Percentile: Top 91%
Genomics and Chromatin Dynamics
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