Evidence map›Paper›PMID 38866174›Full record

ArticleBiological psychiatry2024

Transcriptomic Evaluation of a Stress Vulnerability Network Using Single-Cell RNA Sequencing in Mouse Prefrontal Cortex.

Benjamin Hing, Sara B Mitchell, Yassine Filali, Maureen Eberle, Ian Hultman, Molly Matkovich, Mukundan Kasturirangan, Micah Johnson, Whitney Wyche, Alli Jimenez and 6 more

Abstract read
In one paragraph

Article in Biological psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Benjamin HingDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Sara B MitchellDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa; Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, Iowa.
Yassine FilaliDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa; Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, Iowa.
Maureen EberleDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Ian HultmanDepartment of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa.
Molly MatkovichDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Mukundan KasturiranganDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Micah JohnsonDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa; Interdisciplinary Graduate Program in Neuroscience, University of Iowa, Iowa City, Iowa.
Whitney WycheDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Alli JimenezDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Radha VelamuriDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Mahnoor GhummanDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Himali WickramasingheDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Olivia ChristianDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa.
Sanvesh SrivastavaDepartment of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa.
Rainbo HultmanDepartment of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa; Department of Psychiatry, University of Iowa, Iowa City, Iowa. Electronic address: rainbo-hultman@uiowa.edu.

Funding

University of Iowa Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC)P50HD103556 · NICHD · UNIVERSITY OF IOWA · PI Lane Strathearn · 2021 to 2026
$8.5M
Electrical connectomics: an innovative approach for dissecting brain mechanisms underlying behavioral statesDP2MH126377 · NIMH · UNIVERSITY OF IOWA · PI HULTMAN, RAINBO · 2020 to 2023
$2.4M
NICHD NIH HHS P50 HD103556NIMH NIH HHS DP2 MH126377
6 · The paper itself

Abstract

backgroundIncreased vulnerability to stress is a major risk factor for several mood disorders, including major depressive disorder. Although cellular and molecular mechanisms associated with depressive behaviors following stress have been identified, little is known about the mechanisms that confer the vulnerability that predisposes individuals to future damage from chronic stress.

methodsWe used multisite in vivo neurophysiology in freely behaving male and female C57BL/6 mice (n = 12) to measure electrical brain network activity previously identified as indicating a latent stress vulnerability brain state. We combined this neurophysiological approach with single-cell RNA sequencing of the prefrontal cortex to identify distinct transcriptomic differences between groups of mice with inherent high and low stress vulnerability.

resultsWe identified hundreds of differentially expressed genes (p

conclusionsThis is the first study to identify cell types and genes involved in a latent stress vulnerability state in the brain.

Indexed as

Mice, Inbred C57BLPrefrontal CortexStress, PsychologicalTranscriptomeAnimalsFemaleGABAergic NeuronsMajor Depressive DisorderMaleMiceSequence Analysis, RNASingle-Cell AnalysisBrain networkPrefrontal cortexSingle-cell RNA-SeqStressTranscriptomicVulnerability

Identifiers

PMID38866174
PMCPMC11524784

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.