Evidence map›Paper›PMID 27717806›Full record

ArticleNeuroscience2016

Convergent transcriptomics and proteomics of environmental enrichment and cocaine identifies novel therapeutic strategies for addiction.

Yafang Zhang, Elizabeth J Crofton, Xiuzhen Fan, Dingge Li, Fanping Kong, Mala Sinha, Bruce A Luxon, Heidi M Spratt, Cheryl F Lichti, Thomas A Green

Abstract read
In one paragraph

Article in Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

10 authors.

Yafang ZhangCenter for Addiction Research, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA.
Elizabeth J CroftonCenter for Addiction Research, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA.
Xiuzhen FanCenter for Addiction Research, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA.
Dingge LiCenter for Addiction Research, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA.
Fanping KongDept. of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
Mala SinhaSealy Center for Molecular Medicine, Institute for Translational Science, The University of Texas Medical Branch, Galveston, TX, USA.
Bruce A LuxonDept. of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA; Sealy Center for Molecular Medicine, Institute for Translational Science, The University of Texas Medical Branch, Galveston, TX, USA.
Heidi M SprattDept. of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA; Sealy Center for Molecular Medicine, Institute for Translational Science, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Preventative Medicine and Community Health, The University of Texas Medical Branch, Galveston, TX, USA.
Cheryl F LichtiDept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA.
Thomas A GreenCenter for Addiction Research, The University of Texas Medical Branch, Galveston, TX, USA; Dept. of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA; Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch, Galveston, TX, USA. Electronic address: tom.green@utmb.edu.

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
Translational Explorations in Substance Use DisordersT32DA007287 · NIDA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Kathryn A. Cunningham, Jonathan Dean Hommel · 1994 to 2026
$4.7M
Amygdala Serotonin Neurotransmission and Neuropathic PainR01NS081121 · NINDS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GREEN, THOMAS ARTHUR, NEUGEBAUER, VOLKER · 2013 to 2017
$2.3M
Molecular Mechanisms of Environmental EnrichmentR01DA029091 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GREEN, THOMAS ARTHUR · 2011 to 2015
$1.8M
NCATS NIH HHS UL1 TR001439NIDA NIH HHS R01 DA029091NIDA NIH HHS T32 DA007287NINDS NIH HHS R01 NS081121
6 · The paper itself

Abstract

Transcriptomic and proteomic approaches have separately proven effective at identifying novel mechanisms affecting addiction-related behavior; however, it is difficult to prioritize the many promising leads from each approach. A convergent secondary analysis of proteomic and transcriptomic results can glean additional information to help prioritize promising leads. The current study is a secondary analysis of the convergence of recently published separate transcriptomic and proteomic analyses of nucleus accumbens (NAc) tissue from rats subjected to environmental enrichment vs. isolation and cocaine self-administration vs. saline. Multiple bioinformatics approaches (e.g. Gene Ontology (GO) analysis, Ingenuity Pathway Analysis (IPA), and Gene Set Enrichment Analysis (GSEA)) were used to interrogate these rich data sets. Although there was little correspondence between mRNA vs. protein at the individual target level, good correspondence was found at the level of gene/protein sets, particularly for the environmental enrichment manipulation. These data identify gene sets where there is a positive relationship between changes in mRNA and protein (e.g. glycolysis, ATP synthesis, translation elongation factor activity, etc.) and gene sets where there is an inverse relationship (e.g. ribosomes, Rho GTPase signaling, protein ubiquitination, etc.). Overall environmental enrichment produced better correspondence than cocaine self-administration. The individual targets contributing to mRNA and protein effects were largely not overlapping. As a whole, these results confirm that robust transcriptomic and proteomic data sets can provide similar results at the gene/protein set level even when there is little correspondence at the individual target level and little overlap in the targets contributing to the effects.

Indexed as

EnvironmentProteomeTranscriptomeAnimalsCocaineCocaine-Related DisordersComputational BiologyDisease Models, AnimalDopamine Uptake InhibitorsNucleus AccumbensRandom AllocationRats, Sprague-DawleyRNA, MessengerSelf AdministrationSocial IsolationCocaineDopamine Uptake InhibitorsProteomeRNA, Messengeraddictioncocaineenvironmental enrichmentproteomicsself-administrationtranscriptomics

Identifiers

PMID27717806
PMCPMC5118094

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.