Evidence map›Paper›PMID 39535534›Full record

ArticleeLife2024

Functional characteristics and computational model of abundant hyperactive loci in the human genome.

Sanjarbek Hudaiberdiev, Ivan Ovcharenko

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Liquid condensates: a new barrier to loop extrusion?Cellular and molecular life sciences : CMLS · 2025
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Sanjarbek HudaiberdievNational Institute for Biotechnology and Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.ORCID https://orcid.org/0000-0003-0860-5250
Ivan OvcharenkoNational Institute for Biotechnology and Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancers and promoters are classically considered to be bound by a small set of transcription factors (TFs) in a sequence-specific manner. This assumption has come under increasing skepticism as the datasets of ChIP-seq assays of TFs have expanded. In particular, high-occupancy target (HOT) loci attract hundreds of TFs with often no detectable correlation between ChIP-seq peaks and DNA-binding motif presence. Here, we used a set of 1003 TF ChIP-seq datasets (HepG2, K562, H1) to analyze the patterns of ChIP-seq peak co-occurrence in combination with functional genomics datasets. We identified 43,891 HOT loci forming at the promoter (53%) and enhancer (47%) regions. HOT promoters regulate housekeeping genes, whereas HOT enhancers are involved in tissue-specific process regulation. HOT loci form the foundation of human super-enhancers and evolve under strong negative selection, with some of these loci being located in ultraconserved regions. Sequence-based classification analysis of HOT loci suggested that their formation is driven by the sequence features, and the density of mapped ChIP-seq peaks across TF-bound loci correlates with sequence features and the expression level of flanking genes. Based on the affinities to bind to promoters and enhancers we detected five distinct clusters of TFs that form the core of the HOT loci. We report an abundance of HOT loci in the human genome and a commitment of 51% of all TF ChIP-seq binding events to HOT locus formation thus challenging the classical model of enhancer activity and propose a model of HOT locus formation based on the existence of large transcriptional condensates.

Indexed as

Genome, HumanPromoter Regions, GeneticTranscription FactorsBinding SitesChromatin Immunoprecipitation SequencingComputational BiologyComputer SimulationEnhancer Elements, GeneticGene Expression RegulationGenetic LociHumansProtein BindingTranscription Factorscomputational biologygene expressiongeneticsgenomicshigh-occupancy targetHOThumansystems biologytranscriptional condensates

Identifiers

PMID39535534
PMCPMC11560132

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.