Evidence map›Paper›PMID 32142123›Full record

ArticleHuman molecular genetics2020

Single cell transcriptome profiling of the human alcohol-dependent brain.

Eric Brenner, Gayatri R Tiwari, Manav Kapoor, Yunlong Liu, Amy Brock, R Dayne Mayfield

Open access · greenAbstract read
In one paragraph

Article in Human molecular genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 3% of its field
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

89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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29 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Eric BrennerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Gayatri R TiwariWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, USA.
Manav KapoorDepartment of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, USA.
Yunlong LiuDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Amy BrockDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
R Dayne MayfieldWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, USA.
The University of Texas at Austin · USIcahn School of Medicine at Mount Sinai · USIndiana University School of Medicine

Funding

GENE EXPRESSION IN THE HUMAN ALCOHOLIC BRAINR01AA012404 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI MAYFIELD, ROY DAYNE · 2000 to 2025
$10.7M
Brain Tissue Resource Centre for Alcohol ResearchR28AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI Greg Trevor Sutherland · 2012 to 2026
$7.0M
Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
BRAIN TISSUE RESOURCE CENTER FOR ALCOHOL RESEARCHR24AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI KRIL, JILLIAN JUNE · 2000 to 2011
$2.2M
NIAAA NIH HHS R01 AA012404NIAAA NIH HHS R24 AA012725NIAAA NIH HHS R28 AA012725NIAAA NIH HHS U01 AA020926
6 · The paper itself

Abstract

Alcoholism remains a prevalent health concern throughout the world. Previous studies have identified transcriptomic patterns in the brain associated with alcohol dependence in both humans and animal models. But none of these studies have systematically investigated expression within the unique cell types present in the brain. We utilized single nucleus RNA sequencing (snRNA-seq) to examine the transcriptomes of over 16 000 nuclei isolated from the prefrontal cortex of alcoholic and control individuals. Each nucleus was assigned to one of seven major cell types by unsupervised clustering. Cell type enrichment patterns varied greatly among neuroinflammatory-related genes, which are known to play roles in alcohol dependence and neurodegeneration. Differential expression analysis identified cell type-specific genes with altered expression in alcoholics. The largest number of differentially expressed genes (DEGs), including both protein-coding and non-coding, were detected in astrocytes, oligodendrocytes and microglia. To our knowledge, this is the first single cell transcriptome analysis of alcohol-associated gene expression in any species and the first such analysis in humans for any addictive substance. These findings greatly advance the understanding of transcriptomic changes in the brain of alcohol-dependent individuals.

Indexed as

Single-Cell AnalysisAlcoholismAnimalsAstrocytesBrainComputational BiologyEthanolGene Expression ProfilingHumansMicrogliaPrefrontal CortexSequence Analysis, RNATranscriptomeEthanol

Identifiers

PMID32142123
PMCPMC7206851
OpenAlexW3009993943

What OpenQuestion holds

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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 OpenQuestion graph.