Evidence map›Paper›PMID 34137816›Full record

ArticleDisease models & mechanisms2021

Transcriptomic analyses of gastrulation-stage mouse embryos with differential susceptibility to alcohol.

Karen E Boschen, Travis S Ptacek, Matthew E Berginski, Jeremy M Simon, Scott E Parnell

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. The Role of the Hedgehog Pathway in Alcohol-Induced Birth Defects.Advances in experimental medicine and biology · 2026
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  16. Gene-alcohol interactions in birth defects.Current topics in developmental biology · 2023
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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

5 authors at 1 institution in 1 country.

Karen E BoschenBowles Center for Alcohol Studies, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0001-5838-0016
Travis S PtacekCarolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-4949-0149
Matthew E BerginskiDepartment of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-4798-3273
Jeremy M SimonCarolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-3906-1663
Scott E ParnellBowles Center for Alcohol Studies, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-2038-6548
University of North Carolina at Chapel Hill · US

Funding

UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2003 to 2022
$11.5M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2013 to 2019
$8.0M
Cellular Mechanisms in Fetal Alcohol Spectrum DisordersR01AA026068 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Scott Parnell, Kevin Peter Williams · 2019 to 2026
$3.6M
Exploring the Genetics of FASD in Complementary Mouse and Fish ModelsU01AA021651 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EBERHART, JOHANN K, PARNELL, SCOTT · 2012 to 2021
$3.2M
Cell Cycle Regulation in Fetal Alcohol Spectrum DisordersK99AA028273 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOSCHEN, KAREN ELIZABETH · 2020 to 2021
$232k
Primary cilia number and function in the neural tube in a mouse model of FASDF32AA026479 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOSCHEN, KAREN ELIZABETH · 2017 to 2019
$118k
NIAAA NIH HHS F32 AA026479NIAAA NIH HHS K99 AA028273NIAAA NIH HHS R01 AA026068NIAAA NIH HHS U01 AA021651NICHD NIH HHS P50 HD103573NICHD NIH HHS U54 HD079124NINDS NIH HHS P30 NS045892
6 · The paper itself

Abstract

Genetics are a known contributor to differences in alcohol sensitivity in humans with fetal alcohol spectrum disorders (FASDs) and in animal models. Our study profiled gene expression in gastrulation-stage embryos from two commonly used, genetically similar mouse substrains, C57BL/6J (6J) and C57BL/6NHsd (6N), that differ in alcohol sensitivity. First, we established normal gene expression patterns at three finely resolved time points during gastrulation and developed a web-based interactive tool. Baseline transcriptional differences across strains were associated with immune signaling. Second, we examined the gene networks impacted by alcohol in each strain. Alcohol caused a more pronounced transcriptional effect in the 6J versus 6N mice, matching the increased susceptibility of the 6J mice. The 6J strain exhibited dysregulation of pathways related to cell death, proliferation, morphogenic signaling and craniofacial defects, while the 6N strain showed enrichment of hypoxia and cellular metabolism pathways. These datasets provide insight into the changing transcriptional landscape across mouse gastrulation, establish a valuable resource that enables the discovery of candidate genes that may modify alcohol susceptibility that can be validated in humans, and identify novel pathogenic mechanisms of alcohol. This article has an associated First Person interview with the first author of the paper.

Indexed as

GastrulationGene Expression ProfilingAnimalsEmbryo, MammalianEthanolMiceEthanolApoptosisBrain developmentEmbryoFetal alcohol spectrum disordersInflammation

Identifiers

PMID34137816
PMCPMC8246266
OpenAlexW3164930809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.