Evidence map›Paper›PMID 41554730›Full record

ArticleNature communications2026

Central amygdala single-nucleus atlas reveals chromatin and gene transcription dynamics in human alcohol use disorder.

Che Yu Lee, Ahyeon Hwang, Delaney McRiley, Jaywon Lee, Genevieve Thibodeau, Catharine Duman, Xiangyu Zhang, Mario Skarica, Jensine Coudriet, Siwei Xu and 23 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

33 authors.

Che Yu Lee *Department of Computer Science, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-3039-4894
Ahyeon Hwang *Department of Computer Science, University of California, Irvine, CA, USA.
Delaney McRiley *Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Jaywon LeeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0009-0007-8432-7738
Genevieve ThibodeauDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Catharine DumanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Xiangyu ZhangDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06510, USA.
Mario SkaricaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-2478-014X
Jensine CoudrietDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Siwei XuDepartment of Computer Science, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-2828-3706
Rosemarie TerwilligerDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Alexa-Nicole SlibyDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Jiawei WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0003-2627-4897
Tuan NguyenDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-1703-0404
Yujing LiuDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Hongyu LiDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0001-6525-9310
Yi DaiDepartment of Computer Science, University of California, Irvine, CA, USA.ORCID http://orcid.org/0009-0004-1018-5931
Ziheng DuanDepartment of Computer Science, University of California, Irvine, CA, USA.
Yutong LeiDepartment of Computer Science, University of California, Irvine, CA, USA.
Yingxin LinDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-4299-7326
Jill R GlausierDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.ORCID http://orcid.org/0000-0001-9838-3414
David A LewisDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.ORCID http://orcid.org/0000-0002-3225-6778
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-4067-1859
Paul E HoltzheimerDepartment of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH, 03756, USA.
Ke XuDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-6472-7052
Hang ZhouDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-7694-6391
Hongyu ZhaoDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-1195-9607
Summer L ThompsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0003-1922-1201
John H KrystalDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0001-6952-1726
Alicia CheDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-7530-8531
Jane R TaylorDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA.
Jing ZhangDepartment of Computer Science, University of California, Irvine, CA, USA. zhang.jing@uci.edu.ORCID http://orcid.org/0000-0002-5970-0509
Matthew J GirgentiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA. matthew.girgenti@yale.edu.ORCID http://orcid.org/0000-0003-1647-326X

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
Decoding the Noncoding Regulatory Genome with Super-resolution via Single-cell Multiomics IntegrationR01HG012572 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI JING ZHANG · 2022 to 2026
$2.0M
Molecular Dissection of Alcohol Use Disorder Through Targeted Brain Multi-omicsR01AA031017 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2024 to 2026
$1.7M
Neural Mechanisms Linking Sensory Perception and Social BehaviorR01NS133434 · NINDS · YALE UNIVERSITY · PI Alicia Yue Che · 2023 to 2026
$1.6M
Effects of Early-life Cannabinoid Exposure on Prefrontal Circuitry and Cognitive Behavior across DevelopmentR01DA059378 · NIDA · YALE UNIVERSITY · PI Alicia Yue Che · 2024 to 2026
$1.5M
Functional convergence following disruption of diverse genes associated with cannabis use and major depressionDP1DA060811 · NIDA · YALE UNIVERSITY · PI Matthew J Girgenti · 2024 to 2026
$1.3M
Team Science for MultiScale Data Mining and Functional Validation of Single-Cell Opioid Responses in the Context of HIVR01DA063316 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mark Bender Gerstein, HYEJUNG WON · 2025 to 2026
$1.1M
The role of the gut microbiota in alcohol seeking and decision-makingR00AA029454 · NIAAA · UNIVERSITY OF MARYLAND BALTIMORE · PI Summer Loretta Thompson · 2024 to 2026
$733k
NHGRI NIH HHS R01 HG012572NIAAA NIH HHS P50 AA012870NIAAA NIH HHS R00 AA029454NIAAA NIH HHS R01 AA031017NIDA NIH HHS DP1 DA060811NIDA NIH HHS R01 DA059378NIDA NIH HHS R01 DA063316NINDS NIH HHS R01 NS133434U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) R01AA031017
6 · The paper itself

Abstract

Regulation of gene expression is a highly coordinated process in both the healthy and pathological brain with unique patterns across a multitude of cell types. Here we present a multi-omic single nucleus study of ~175,000 nuclei from 50 donors with alcohol use disorder (AUD) and control donors without AUD, profiling cell type specific gene expression and chromatin accessibility in the human central amygdala. We identify all major CNS cell types and neuronal subtypes and find inhibitory neurons are particularly affected by AUD. We find high numbers of differentially expressed genes (DEGs) including GABRA2, GRM8, and NCAM1 and show significant enrichment for AUD risk genes within these DEGs. We identified 51,431 cell type-specific, disease associated candidate cis-regulatory elements including an interneuron-associated set of chromatin loops at the AUD risk gene CALN1. Transcription factor footprinting identified Kruppel-like factors upstream of AUD GWAS genes and DEGs. Finally, we also perform cell type-specific fine mapping for AUD GWAS to prioritize variants within functional genomic elements.

Indexed as

AlcoholismCentral Amygdaloid NucleusChromatinTranscription, GeneticFemaleGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleNeuronsChromatin

Identifiers

PMID41554730
PMCPMC12905162

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.