Evidence map›Paper›PMID 35257277›Full record

ArticleCell biochemistry and biophysics2022

Next-Generation Sequencing of Circular RNAs Reveals the Molecular Mechanisms of Chondrogenic Differentiation in Human Adipose-derived Stem Cells.

Simin Luo, Wuji Li, Wenrui Wu, Qiping Shi

Abstract read
PubMed Publisher
In one paragraph

Article in Cell biochemistry and biophysics, 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
0.2field-weighted citation impact, top 54% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 2 institutions in 1 country.

Simin LuoDepartment of Bone and Joint Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China.ORCID http://orcid.org/0000-0001-9001-6935
Wuji LiDepartment of Bone and Joint Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China.ORCID http://orcid.org/0000-0002-3925-8370
Wenrui WuDepartment of Bone and Joint Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China.ORCID http://orcid.org/0000-0003-2308-8028
Qiping ShiDepartment of Endocrine, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China. qiping.shi@qq.com.ORCID http://orcid.org/0000-0002-2866-3266
First Affiliated Hospital of Jinan University · CNChaozhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose-derived stem cells are one of the potential sources of cells for the treatment of cartilage defects. This study aimed to investigate the molecular mechanisms that account for the chondrogenic differentiation of human adipose-derived stem cells (hADSCs). We employed integrin β1 (ITGB1) overexpression to induce chondrogenic differentiation of hADSCs. Next-generation sequencing was used to determine the mRNAs and circular RNAs (circRNAs) expression profiles in ITGB1-overexpresing and negative control cells. The potential functions of differentially expressed mRNAs were analyzed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Moreover, differentially expressed circRNAs with the greatest fold change were validated by polymerase chain reaction (PCR), Sanger sequencing, and quantitative real-time PCR (qRT-PCR). These three circRNAs and their downstream microRNAs and mRNAs were used to construct a circRNA-microRNA-mRNA interaction network. The results showed that we identified 713 differentially expressed circRNAs (150 upregulated and 563 downregulated in ITGB1-overexpressing hADSCs versus negative control cells, respectively). Meanwhile, 2383 mRNAs were differentially expressed between two groups (1672 upregulated and 711 downregulated in ITGB1-overexpressing cells compared with the negative control cells). The GO and KEGG analysis results showed that the differentially expressed mRNAs were enriched in biological processes, cellular components, and molecular functions, especially in the phosphatidylinositol 3-kinase (PI3K)-AKT and mitogen-activated protein kinase signaling pathways. Three differentially expressed circRNAs, including hsa_circ_0071127, hsa_circ_0008637, and hsa_circ_0020028, were validated by qRT-PCR. Moreover, the circRNA-microRNA-mRNA network predicted that fibroblast growth factor 2 (FGF2) was a common node regulated by these three circRNAs through several microRNAs, including miR-195-3p, miR-205-3p, and miR-152-3p. We further found that the knockdown of hsa_circ_0020028, but not the two other circRNAs, significantly reduced FGF2 mRNA expression in hADSCs. Furthermore, the knockdown of hsa_circ_0020028 significantly inhibited the protein expression of FGF2, chondrogenic differentiation markers (COL II, aggrecan, and SOX9), and PI3K/AKT signaling in ITGB1-overexpressing hADSCs. This study uncovered the differentially expressed mRNA and circRNA profiles in the chondrogenic differentiation of hADSCs induced by ITGB1 overexpression. Our findings demonstrate that hsa_circ_0020028 regulates the ITGB1 overexpression-mediated chondrogenic differentiation of hADSCs through regulation of FGF2-related signaling pathways.

Indexed as

MicroRNAsRNA, CircularFibroblast Growth Factor 2High-Throughput Nucleotide SequencingHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, MessengerStem CellsFibroblast Growth Factor 2MicroRNAsMIRN152 microRNA, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, CircularRNA, MessengerCartilage defectsChondrogenic differentiationFibroblast growth factor 2hsa_circ_0020028Human adipose-derived stem cellsIntegrin β1

Identifiers

PMID35257277
OpenAlexW4220848146

What OpenQuestion holds

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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.