Evidence map›Paper›PMID 26042666›Full record

ArticlePloS one2015

Putative regulatory factors associated with intramuscular fat content.

Aline S M Cesar, Luciana C A Regitano, James E Koltes, Eric R Fritz-Waters, Dante P D Lanna, Gustavo Gasparin, Gerson B Mourão, Priscila S N Oliveira, James M Reecy, Luiz L Coutinho

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.2field-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

48 citing papers in PubMed, 148 citations in OpenAlex.

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  14. EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
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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 at 4 institutions in 2 countries.

Aline S M CesarDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Luciana C A RegitanoEmbrapa Southeast-Cattle Research Center, São Carlos, SP, 13560-970, Brazil.
James E KoltesDepartment of Animal Science, Iowa State University, Ames, IA, 50011, United States of America.
Eric R Fritz-WatersDepartment of Animal Science, Iowa State University, Ames, IA, 50011, United States of America.
Dante P D LannaDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Gustavo GasparinDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Gerson B MourãoDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Priscila S N OliveiraDepartment of Genetics and Evolution, Federal University of São Carlos, São Carlos, SP, 13565-905, Brazil.
James M ReecyDepartment of Animal Science, Iowa State University, Ames, IA, 50011, United States of America.
Luiz L CoutinhoDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Universidade de São Paulo · BRIowa State University · USBrazilian Agricultural Research Corporation · BRUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intramuscular fat (IMF) content is related to insulin resistance, which is an important prediction factor for disorders, such as cardiovascular disease, obesity and type 2 diabetes in human. At the same time, it is an economically important trait, which influences the sensorial and nutritional value of meat. The deposition of IMF is influenced by many factors such as sex, age, nutrition, and genetics. In this study Nellore steers (Bos taurus indicus subspecies) were used to better understand the molecular mechanisms involved in IMF content. This was accomplished by identifying differentially expressed genes (DEG), biological pathways and putative regulatory factors. Animals included in this study had extreme genomic estimated breeding value (GEBV) for IMF. RNA-seq analysis, gene set enrichment analysis (GSEA) and co-expression network methods, such as partial correlation coefficient with information theory (PCIT), regulatory impact factor (RIF) and phenotypic impact factor (PIF) were utilized to better understand intramuscular adipogenesis. A total of 16,101 genes were analyzed in both groups (high (H) and low (L) GEBV) and 77 DEG (FDR 10%) were identified between the two groups. Pathway Studio software identified 13 significantly over-represented pathways, functional classes and small molecule signaling pathways within the DEG list. PCIT analyses identified genes with a difference in the number of gene-gene correlations between H and L group and detected putative regulatory factors involved in IMF content. Candidate genes identified by PCIT include: ANKRD26, HOXC5 and PPAPDC2. RIF and PIF analyses identified several candidate genes: GLI2 and IGF2 (RIF1), MPC1 and UBL5 (RIF2) and a host of small RNAs, including miR-1281 (PIF). These findings contribute to a better understanding of the molecular mechanisms that underlie fat content and energy balance in muscle and provide important information for the production of healthier beef for human consumption.

Indexed as

AdiposityGene Expression RegulationAnimalsBreedingCattleChromosome MappingCysteineGene Expression ProfilingGenomeInformation TheoryMolecular Sequence AnnotationMuscle, SkeletalPhenotypeSignal TransductionCysteine

Identifiers

PMID26042666
PMCPMC4456163
OpenAlexW633042482

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.