Evidence map›Paper›PMID 30210525›Full record

ArticleFrontiers in genetics2018

Regional Differences and Similarities in the Brain Transcriptome for Mice Selected for Ethanol Preference From HS-CC Founders.

Alexandre M Colville, Ovidiu D Iancu, Denesa R Lockwood, Priscila Darakjian, Shannon K McWeeney, Robert Searles, Christina Zheng, Robert Hitzemann

Abstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Alexandre M ColvilleDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States.
Ovidiu D IancuDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States.
Denesa R LockwoodDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States.
Priscila DarakjianDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States.
Shannon K McWeeneyDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States.
Robert SearlesIntegrated Genomics Laboratory, Oregon Health & Science University, Portland, OR, United States.
Christina ZhengDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States.
Robert HitzemannDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, United States.

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAMARA J. PHILLIPS · 2006 to 2026
$34.5M
Neurocircuitry Mapping and Genotyping CoreU01AA013484 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HITZEMANN, ROBERT J. · 2001 to 2021
$6.2M
NIAAA NIH HHS P60 AA010760NIAAA NIH HHS U01 AA013484
6 · The paper itself

Abstract

The high genetic complexity found in heterogeneous stock (HS-CC) mice, together with selective breeding, can be used to detect new pathways and mechanisms associated with ethanol preference and excessive ethanol consumption. We predicted that these pathways would provide new targets for therapeutic manipulation. Previously (Colville et al., 2017), we observed that preference selection strongly affected the accumbens shell (SH) genes associated with synaptic function and in particular genes associated with synaptic tethering. Here we expand our analyses to include substantially larger sample sizes and samples from two additional components of the "addiction circuit," the central nucleus of the amygdala (CeA) and the prelimbic cortex (PL). At the level of differential expression (DE), the majority of affected genes are region-specific; only in the CeA did the DE genes show a significant enrichment in GO annotation categories, e.g., neuron part. In all three brain regions the differentially variable genes were significantly enriched in a single network module characterized by genes associated with cell-to-cell signaling. The data point to glutamate plasticity as being a key feature of selection for ethanol preference. In this context the expression of

Indexed as

central nucleus of amygdala (CeA)collaborative crossnetwork analysisnucleus accumbens shellprelimbic cortexRNA-Seq

Identifiers

PMID30210525
PMCPMC6120986

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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.