Evidence map›Paper›PMID 31467558›Full record

ArticleStem cells international2019

Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells.

Jinluo Cheng, Xinyuan Zhao, Juan Liu, Li Cui, Yanfeng Zhu, Xiaoqing Yuan, Jianbo Gao, Yunfeng Du, Xinmin Yan, Shen Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cells international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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.

Jinluo ChengChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.
Xinyuan ZhaoStomatological Hospital, Southern Medical University, Guangzhou, China.
Juan LiuChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.
Li CuiSchool of Dentistry, University of California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-9814-6945
Yanfeng ZhuSchool of Public Health, Chengdu Medical College, Chengdu, China.
Xiaoqing YuanChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.
Jianbo GaoChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.
Yunfeng DuChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.
Xinmin YanChangzhou Second People's Hospital, Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0002-6801-3815
Shen HuSchool of Dentistry, University of California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-9488-0376
Changzhou No.2 People's Hospital · CNUniversity of California, Los Angeles · USChengdu Medical College · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose stem cells (ASCs) are an attractive cell source for treating many human diseases including osteoporosis. However, the molecular mechanisms accounting for ASC osteogenesis are poorly known. In this study, ASCs were first isolated from the fat tissues from the patients with osteoporosis. The global transcriptome profile between osteogenic differentiated ASCs and undifferentiated ASCs was compared using RNA sequencing (RNA-seq). Then, bioinformatic analysis was performed to reveal the central genes and pathways that regulated the osteogenic differentiation of ASCs. One of the interested genes C5AR1 was chosen for further investigation. A total of 1521 upregulated and 3020 downregulated genes were identified between the ASCs with osteogenic induction and controls. Functional gene ontology analysis revealed that these significantly differentially expressed genes (DEGs) were associated with cell cycle, protein binding, and nucleotide binding. Pathway analysis showed that many canonical pathways, such as the MAPK signaling pathway and the PI3K-AKT pathway, might actively be involved in regulating osteogenic differentiation of ASCs. A total of three subnetworks and 20 central nodes were identified by the protein-protein interaction analysis. In addition, the expression level of C5AR1 was significantly increased during osteogenic differentiation of ASCs. The downregulation of C5AR1 dramatically reduced the expression levels of osteogenic differentiation biomarkers and calcium nodule formation capacity. Collectively, we have provided a number of novel genes and pathways that might be indispensable for ASC osteogenic differentiation. Manipulating the levels of this candidate gene might contribute to the osteoporosis therapy.

Identifiers

PMID31467558
PMCPMC6701308
OpenAlexW2966364787

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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.