Evidence map›Paper›PMID 26200109›Full record

ArticlePloS one2015

Network Analysis for the Identification of Differentially Expressed Hub Genes Using Myogenin Knock-down Muscle Satellite Cells.

Adeel Malik, Eun Ju Lee, Arif Tasleem Jan, Sarafraz Ahmad, Kyung-Hyun Cho, Jihoe Kim, Inho Choi

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  5. Bioinformatics Analysis of ceRNA Network Related to Polycystic Ovarian Syndrome.Computational and mathematical methods in medicine · 2021
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  9. A comprehensive in silico analysis of sortase superfamily.Journal of microbiology (Seoul, Korea) · 2019
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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 2 institutions in 2 countries.

Adeel MalikSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea; Perdana University Centre for Bioinformatics, MARDI Complex, Jalan MAEPS Perdana, 43400 Serdang, Selangor, Malaysia.
Eun Ju LeeSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea; Bovine Genome Resources Bank, Yeungnam University, Gyeongsan, Republic of Korea.
Arif Tasleem JanSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.
Sarafraz AhmadSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.
Kyung-Hyun ChoSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.
Jihoe KimSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.
Inho ChoiSchool of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea; Bovine Genome Resources Bank, Yeungnam University, Gyeongsan, Republic of Korea.
Yeungnam University · KRMalaysian Agricultural Research and Development Institute · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle, a multinucleate syncytium formed by the fusion of mononuclear myoblasts, arises from quiescent progenitors (satellite cells) via activation of muscle-specific transcription factors (MyoD, Myf5, myogenin: MYOG, and MRF4). Subsequent to a decline in Pax7, induction in the expression of MYOG is a hallmark of myoblasts that have entered the differentiation phase following cell cycle withdrawal. It is evident that MYOG function cannot be compensated by any other myogenic regulatory factors (MRFs). Despite a plethora of information available regarding MYOG, the mechanism by which MYOG regulates muscle cell differentiation has not yet been identified. Using an RNA-Seq approach, analysis of MYOG knock-down muscle satellite cells (MSCs) have shown that genes associated with cell cycle and division, DNA replication, and phosphate metabolism are differentially expressed. By constructing an interaction network of differentially expressed genes (DEGs) using GeneMANIA, cadherin-associated protein (CTNNA2) was identified as the main hub gene in the network with highest node degree. Four functional clusters (modules or communities) were identified in the network and the functional enrichment analysis revealed that genes included in these clusters significantly contribute to skeletal muscle development. To confirm this finding, in vitro studies revealed increased expression of CTNNA2 in MSCs on day 12 compared to day 10. Expression of CTNNA2 was decreased in MYOG knock-down cells. However, knocking down CTNNA2, which leads to increased expression of extracellular matrix (ECM) genes (type I collagen α1 and type I collagen α2) along with myostatin (MSTN), was not found significantly affecting the expression of MYOG in C2C12 cells. We therefore propose that MYOG exerts its regulatory effects by acting upstream of CTNNA2, which in turn regulates the differentiation of C2C12 cells via interaction with ECM genes. Taken together, these findings highlight a new mechanism by which MYOG interacts with CTNNA2 in order to promote myoblast differentiation.

Indexed as

Gene Expression RegulationGene Knockdown TechniquesGene Regulatory NetworksAnimalsCattleCell LineHumansMyogeninSatellite Cells, Skeletal MuscleMyogeninMYOG protein, human

Identifiers

PMID26200109
PMCPMC4511796
OpenAlexW1009704129

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.