Evidence map›Paper›PMID 42146669›Full record

ArticlebioRxiv : the preprint server for biology2026

Transcription initiation profiling defines the regulatory logic of astrocyte gene regulation.

Ashley Kumar, Yanning Zuo, Numaan Formoli, Daimeng Sun, Narayan Pokhrel, Carlos Guzman, Sven Heinz, Christopher Benner, Francesca Telese

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ashley KumarDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0002-9652-1024
Yanning ZuoDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0002-9990-9788
Numaan FormoliDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0009-0009-2419-0076
Daimeng SunDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.
Narayan PokhrelDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0001-9605-0253
Carlos GuzmanDepartment of Medicine, University of California, San Diego Department of Psychiatry, University of California, San Diego.
Sven HeinzDepartment of Medicine, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0002-4665-1007
Christopher BennerDepartment of Medicine, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0002-4618-0719
Francesca TeleseDepartment of Psychiatry, University of California, San Diego Department of Psychiatry, University of California, San Diego.ORCID 0000-0003-3877-0628

Funding

Decoding the grammar of transcriptional enhancers regulating different stages of opioid use disorderU01DA051972 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNER, CHRISTOPHER W, TELESE, FRANCESCA · 2020 to 2024
$3.4M
Multiscale genomic decryption of regulatory DNAR35GM149520 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Christopher W Benner · 2024 to 2026
$1.2M
Decoding regulatory functions of genetic variants associated with substance use disordersR21DA056177 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNER, CHRISTOPHER W, TELESE, FRANCESCA · 2022 to 2023
$435k
In vivo massive parallel reporter assay to analyze the function of cis-regulatory elements and variants implicated in substance use disordersR21DA060455 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Christopher W Benner, SVEN W HEINZ · 2025 to 2026
$394k
NIDA NIH HHS R21 DA056177NIDA NIH HHS R21 DA060455NIDA NIH HHS U01 DA051972NIGMS NIH HHS R35 GM149520
6 · The paper itself

Abstract

Astrocytes are central regulators of neuroinflammation, yet the mechanisms by which they convert common inflammatory signals into cell type-specific transcriptional responses remain poorly understood. Here we mapped transcription initiation genome-wide in primary mouse astrocytes stimulated with interleukin-1B (IL-1B) and defined the active regulatory elements that drive astrocyte reactivity. We find that inducible enhancer transcription in astrocytes is encoded by a transcription-initiation grammar in which lineage-restricted transcription factors, particularly NFIA and TEAD4, cooperate with inflammatory transcription factors such as NF-κB, AP-1 and IRF to drive stimulus-dependent transcription activation. The motifs of these inflammatory transcription factors show a strong positional bias upstream of induced transcription start sites, supporting their direct role in controlling initiation upon stimulation. Moreover, NF-κB and TEAD4 motifs are preferentially associated with sites showing altered patterns of transcription initiation in response to inflammatory stimulus. Comparison with stimulated macrophages revealed that, despite substantial overlap in induced genes, astrocytes exhibit a largely distinct enhancer repertoire, indicating that shared inflammatory signals are interpreted through cell type-specific regulatory landscapes. Finally, transcribed astrocyte regulatory elements are functionally conserved in human astrocytes and are enriched for genetic risk variants associated with neurological disorders. Together, these findings define a cell type-specific regulatory logic for astrocyte inflammatory responses and link astrocyte enhancer regulation to human disease susceptibility.

Identifiers

PMID42146669
PMCPMC13174308

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LicenceCC BY
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Registered trials

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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.