Evidence map›Paper›PMID 26075067›Full record

ArticleJournal of animal science and biotechnology2015

Mining the key regulatory genes of chicken inosine 5'-monophosphate metabolism based on time series microarray data.

Teng Ma, Lu Xu, Hongzhi Wang, Jing Chen, Lu Liu, Guobin Chang, Guohong Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Functional identification ofFrontiers in veterinary science · 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

7 authors at 1 institution in 1 country.

Teng MaAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Lu XuAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Hongzhi WangAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Jing ChenAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Lu LiuAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Guobin ChangAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Guohong ChenAnimal Genetic Resources Laboratory, College of Animal Science and Technology, Yangzhou University, 88 South of University Ave., Yangzhou, Jiangsu 225009 P. R. China.
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IMP (inosine 5'-monophosphate) is a compound that enhances the flavor of poultry meat. IMP has become a new breeding trait to improve poultry meat quality. We tried to identify several potential regulatory genes, and construct their predicted regulatory relationships. Time series gene expression profiles of thigh muscle tissues of Rugao chicken, a famous indigenous breed in China, were performed for analysis of genes that are co-expressed or correlated with the concentration of IMP. We found 15 crucial co-expression genes, which are Hspa2, Pten, Gabpa, Bpi, Mkl1, Srf, Cd34, Hspa4, Etv6, Bmpr2, Gde1, Igfbp5, Cd28, Pecam1 and Gja1, that may directly or indirectly regulate IMP metabolism. Eventually, we computed the correlation coefficient between 19 IMP Genes and 15 CGs (15 co-expression genes), and we identified and constructed a predicted regulation network. In conclusion, variation of IMP concentration was primarily connected with the muscle development process. During this process, 15 CGs were identified that may have significant influence on IMP metabolism. In particular, Bmpr2, Pten and co-expression genes correlated with Entpd8 might play important roles in regulating IMP de novo synthesis, decomposition and salvage synthesis.

Indexed as

Co-expressionHub genesIMP metabolismRegulation network

Identifiers

PMID26075067
PMCPMC4464707
OpenAlexW1537637715

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.