Evidence map›Paper›PMID 34179189›Full record

ArticleIranian journal of biotechnology2021

Topological Analysis of Regulatory Networks Reveals Functionally Key Genes and miRNAs Involved in the Differentiation of Mesenchymal Stem Cells.

Atousa Ataei, Mansour Poorebrahim, Azam Rajabpour, Albert Rizvanov, Seyed Shahriar Arab

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Article in Iranian journal of biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Atousa AtaeiInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia.
Mansour PoorebrahimDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, University of Medical Sciences, Tehran, Iran.
Azam RajabpourCellular and Molecular Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Albert RizvanovInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia.
Seyed Shahriar ArabDepartment of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Kazan Federal University · RUIran University of Medical Sciences · IRQazvin University of Medical Sciences · IRTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe details of molecular mechanisms underlying the differentiation of Mesenchymal Stem Cells (MSCs) into specific lineages are not well understood.

objectivesWe aimed to construct the interactome network and topology analysis of bone marrow mesenchymal stem cell of CAGE data. Applying the enrichment results, we wanted to introduce the common genes and hub-microRNA and hub-genes of these giant network. MATERIALS AND

methodsIn this study, we constructed gene regulatory networks for each non-mesenchymal cell lineage according to their gene expression profiles obtained from FANTOM5 database. The putative interactions of TF-gene and protein-protein were determined using TRED, STRING, HPRD and GeneMANIA servers. In parallel, a regulatory network including corresponding miRNAs and total differentially expressed genes (DEGs) was constructed for each cell lineage.

resultsThe results indicated that analysis of networks' topology can significantly distinguish the hub regulatory genes and miRNAs involved in the differentiation of MSCs. The functional annotation of identified hub genes and miRNAs revealed that several signal transduction pathways i.e. AKT, WNT and TGFβ and cell proliferation related pathways play a pivotal role in the regulation of MSCs differentiation. We also classified cell lineages into two groups based on their predicted miRNA profiles.

conclusionsIn conclusion, we found a number of hub genes and miRNAs which seem to have key regulatory functions during differentiation of MSCs. Our results also introduce a number of new regulatory genes and miRNAs which can be considered as the new candidates for genetic manipulation of MSCs in vitro.

Indexed as

DifferentiationmiRNAMSCsRegulatory networkTopological analysis

Identifiers

PMID34179189
PMCPMC8217530
OpenAlexW3172906716

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