OSCR

Heroin addiction modulates transcription factor binding in regulatory regions of the human putamen.

Overview

Authors: Rajashree Chakraborty1, Avinash Veerappa1, Chittibabu Guda1
  1. Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE USA
Institutions: University of Nebraska Medical Center (United States)
Journal: Scientific reports, volume 16, issue 1, article 21737
Dates: received 2 December 2025; accepted 7 May 2026; published online 12 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-52754-7 · PMID 42120535 · PMCID PMC13357565 · OpenAlex W7160898277
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: genetics / omics (modality), human (organism), other condition (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Preprocessing
Keywords: Opioid use disorder, Transcription factors, ATAC-Seq, Neuroinflammation, Putamen, Substance use disorders, Neurology, Neuroscience
MeSH: Heroin Dependence*, Putamen*, Regulatory Sequences, Nucleic Acid*, Transcription Factors*, Adult, Binding Sites, Female, Gene Expression Regulation, Humans, Male, Neuroglia, Neurons, Protein Binding (* major topic)
Topic: Nuclear Receptors and Signaling (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Funding: National Institutes of Health (5P20GM103427, 5P30CA036727); NIGMS NIH HHS (P20 GM103427); NCI NIH HHS (P30 CA036727); NIH HHS (5P20GM103427, 5P30CA036727)
Citations: not cited yet (Europe PMC); 99 references in the paper

Abstract

The ongoing opioid crisis underscores the need to elucidate the neurobiology of addiction for improved treatments. Dynamic transcription factor (TF) binding is a key driver of substance use disorders (SUDs), yet its genome-wide patterns in human brain cell types remain poorly defined. We performed a computational re-analysis of publicly available ATAC-seq data (PRJNA561094) from post-mortem putamen samples of heroin users and matched non-users, where we profiled chromatin accessibility analyzing neuronal and glial cells separately. Genome-wide TF binding sites were identified and quantified, followed by footprinting and differential binding analyses. Co-occurrence analysis was applied to identify TF pairings associated with SUD-related genes. Neurons from heroin users exhibited 38 TFs with altered binding and footprinting, while glia showed 11 differentially bound TFs, primarily from the FOS, JUN, and ZNF families. NRF1 and KLF15 were differentially bound in both cell types. These TFs were linked to SUD-associated genes and activation of neuroinflammatory, neurohormonal, and S100 pathway genes. Co-occurrence analysis identified five TF pairs in user neurons and thirteen in non-user glia interacting with SUD-related genes and driving neuroinflammatory signaling. Overall, our findings reveal distinct alterations in TF binding accessibility and co-occurrence networks in heroin users’ neurons and glia, implicating transcriptional dysregulation in addiction-related neuroinflammation and neurohormonal activity.

Supplementary Information: The online version contains supplementary material available at 10.1038/s41598-026-52754-7.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

github.com.mcas.ms/gudalab/tf-regulatory-region-annotation

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Co-ordinate extraction, unique/common, annotatio”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

The raw data for this study were obtained from the NCBI Sequence Read Archive under accession PRJNA561094, as originally reported by Egervari et al. 2020 (Nat. Commun. 11, 4634; 2020).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 8 keywords, 13 MeSH terms, 4 funders, 92 references.

Cite

This paper

Chakraborty, R., Veerappa, A., & Guda, C. (2026). Heroin addiction modulates transcription factor binding in regulatory regions of the human putamen. Scientific reports, 16(1), 21737. https://doi.org/10.1038/s41598-026-52754-7

BibTeX

@article{chakraborty2026heroin,
author = {Chakraborty, Rajashree and Veerappa, Avinash and Guda, Chittibabu},
title = {{Heroin addiction modulates transcription factor binding in regulatory regions of the human putamen}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {21737},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-52754-7},
url = {https://doi.org/10.1038/s41598-026-52754-7},
pmid = {42120535},
pmcid = {PMC13357565}
}

RIS

TY - JOUR
AU - Chakraborty, Rajashree
AU - Veerappa, Avinash
AU - Guda, Chittibabu
TI - Heroin addiction modulates transcription factor binding in regulatory regions of the human putamen
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/12
VL - 16
IS - 1
SP - 21737
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-52754-7
UR - https://doi.org/10.1038/s41598-026-52754-7
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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