Evidence map›Paper›PMID 42178345›Full record

ArticleBioinformatics (Oxford, England)2026

ChromCall: assigning chromatin status to defined genomic regions using epigenomic profiling data.

Bo Wang, Muna Al-Jabri, Udayaraja Gk, Alastair Droop, Lucy F Stead

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Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bo WangUniversity of Leeds, Leeds, LS9 7TF, United Kingdom.
Muna Al-JabriUniversity of Leeds, Leeds, LS9 7TF, United Kingdom.
Udayaraja GkUniversity of Leeds, Leeds, LS9 7TF, United Kingdom.
Alastair DroopUniversity of York, York, YO10 5DD, United Kingdom.
Lucy F SteadUniversity of Leeds, Leeds, LS9 7TF, United Kingdom.ORCID 0000-0002-9550-4150

Funding

The Brain Tumour Charity ET_2023_2 10759The Oman Medical Specialty BoardUnited Kingdom Research and Innovation (UKRI) MR/T020504/1United Kingdom Research and Innovation (UKRI) UKRI1069
6 · The paper itself

Abstract

motivationChromatin regulation is crucial for modulating gene expression and cellular function by altering DNA accessibility. Defining and understanding chromatin regulation across diverse biological conditions, including health and disease, requires quantification of both the presence and enrichment level of diverse DNA-binding factors and chromatin modifications across defined genomic regions. Existing approaches mainly rely on peak-based or genome-wide models, which identify high-signal regions but do not annotate chromatin status at predefined functional genomic regions, such as promoters or enhancers. This lack of region-based annotation limits downstream comparative and integrative analyses across multiple factors and datasets, prompting us to create ChromCall.

resultsChromCall is an R package for region-based chromatin enrichment analysis that provides a robust and extensible foundation for transparent and reproducible epigenomic profiling at predefined genomic regions. We applied ChromCall to ChIP-seq data from glioblastoma (GBM) brain tumours and found that the promoters of genes implicated in treatment resistance are significantly more likely to exhibit a combination of histone marks associated with phenotypic plasticity. This highlights a potential novel mechanism of therapeutic escape in these deadly tumours. AVAILABILITY AND IMPLEMENTATION: The R package is available on https://github.com/GliomaGenomics/ChromCall and the version used in this paper is archived at https://doi.org/10.5281/zenodo.19580967.

Indexed as

ChromatinEpigenomicsSoftwareBrain NeoplasmsChromatin Immunoprecipitation SequencingGenomicsGlioblastomaHumansPromoter Regions, GeneticChromatin

Identifiers

PMID42178345
PMCPMC13238738

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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.