Evidence map›Paper›PMID 34302581›Full record

ArticleBiochemical genetics2022

Construction of Adipogenic ceRNA Network Based on lncRNA Expression Profile of Adipogenic Differentiation of Human MSC Cells.

Chengcheng Liang, Sayed Haidar Abbas Raza, Muhammad Abuzar Raza Naqvi, Yanrong Feng, Rajwali Khan, Zuhair M Mohammedsaleh, Abdullah F Shater, Bassam M Al-Ahmadi, Fayez M Saleh, Muhammad Ahsan Bilal and 1 more

Abstract read
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Article in Biochemical genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

11 authors at 7 institutions in 3 countries.

Chengcheng Liang *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Sayed Haidar Abbas Raza *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.ORCID http://orcid.org/0000-0002-0961-1911
Muhammad Abuzar Raza NaqviFaculty of Health & Medical Science, Hamdard University, Karachi, 75270, Pakistan.
Yanrong FengCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
Rajwali KhanDepartment of Livestock Management, Breeding and Genetics, The University of Agriculture Peshawar, Peshawar, Pakistan.
Zuhair M MohammedsalehDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, 71491, Kingdom of Saudi Arabia.
Abdullah F ShaterDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Kingdom of Saudi Arabia.
Bassam M Al-AhmadiBiology department, Faculty of Science, Taibah University, Medina, Kingdom of Saudi Arabia.
Fayez M SalehDepartment of Medical Microbiology, Faculty of Medicine, University of Tabuk, Tabuk, 71491, Kingdom of Saudi Arabia.
Muhammad Ahsan BilalDepartment of Dermatology, Hospital, Xian Jiaotong University, 157 Xiwu Road, Xi'an, 710004, Shaanxi Province, China.
Linsen ZanCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China. zanlinsen@163.com.ORCID http://orcid.org/0000-0002-2645-0179
Northwest A&F University · CNUniversity of Tabuk · SAHamdard University · PKNorth West Agriculture and Forestry University · CNTaibah University · SAThe University of Agriculture, Peshawar · PKXi'an Jiaotong University · CN

Funding

This work was supported by grants from the National Key Research and Development Program of China (2018YFD0501700), the National Key Technology Support Program (2015BAD03B04), the National Beef and Yak Industrial Technology System (CARS-37), the Agricultur (2016 KTCL02-15)
6 · The paper itself

Abstract

The Long non-coding RNA (lncRNA) expression profile data of ten samples including human Mesenchymal Stem Cell (MSC) adipogenic differentiation 0, 3, and 6 days from the GEO database, and then perform gene ID conversion, BLAST comparison, and annotation marking. Finally, group A (treatment group on day 3 of differentiation and control group on day 0 of differentiation) obtained a total of 1180 mRNA and 185 lncRNA; group B (treatment group on day 6 of differentiation and control group on day 0 of differentiation). A total of 1376 mRNA and 206 lncRNA were obtained. Finally, we processed the differential lncRNAs and mRNAs obtained in the two groups, and obtained 113 shared differential lncRNAs to further predict the targeted miRNA, a total of 815 lncRNA-miRNA pairs. The targeted mRNA was further predicted, and the grouped differential mRNAs were combined to obtain 64 differential mRNAs. In the end, we obtained 216 ceRNAs containing 26 lncRNAs, 27 miRNAs and 64 mRNAs. We found that the mRNAs in the ceRNA network were mainly enriched with 45 Gene Ontology (GO) terms, mainly including glucose homeostasis mechanism and insulin stimulation response. 69 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were mainly enriched. It mainly includes many pathways related to lipid metabolism such as Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK), Rap1, cAMP, mitogen-activated protein kinase (MAPK), Ras, hypoxia inducible factor-1 (HIF-1), PI3K-Akt, insulin signaling and so on. In the end, we identified 216 ceRNA regulatory relationships related to obesity research. Our research provides a clearer direction for understanding the molecular mechanism of obesity, the screening and determination of drug targets biomarkers in the future.

Indexed as

AdipogenesisGene Regulatory NetworksHumansMesenchymal Stem CellsMicroRNAsPhosphatidylinositol 3-KinasesRNA, Long NoncodingRNA, MessengerMicroRNAsPhosphatidylinositol 3-KinasesRNA, Long NoncodingRNA, MessengerAdipogenesisceRNA networkGEO databaseMSCsObesity

Identifiers

PMID34302581
OpenAlexW3184353328

What OpenQuestion holds

Textmetadata
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.