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pmid:34646313

Bioinformatics Analysis Identified miR-584-5p and Key miRNA-mRNA Networks Involved in the Osteogenic Differentiation of Human Periodontal Ligament Stem Cells.

Chengze Wang · Lingling Dong · Ying Wang · Zhiwei Jiang · Jing Zhang · Guoli Yang

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.750827

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Bioinformatics Analysis Identified miR-584-5p and Key miRNA-mRNA Networks Involved in the Osteogenic Differentiation of Human Periodontal Ligament Stem Cells.
doi
10.3389/fgene.2021.750827
pmid
34646313
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[0]
Chengze Wang
[1]
Lingling Dong
[2]
Ying Wang
[3]
Zhiwei Jiang
[4]
Jing Zhang
[5]
Guoli Yang
journal
Frontiers in genetics
year
2021
abstract
Human periodontal ligament cells (PDLCs) play an important role in periodontal tissue stabilization and function. In the process of osteogenic differentiation of PDLSCs, the regulation of molecular signal pathways are complicated. In this study, the sequencing results of three datasets on GEO were used to comprehensively analyze the miRNA-mRNA network during the osteogenic differentiation of PDLSCs. Using the GSE99958 and GSE159507, a total of 114 common differentially expressed genes (DEGs) were identified, including 62 up-regulated genes and 52 down-regulated genes. GO enrichment analysis was performed. The up-regulated 10 hub genes and down-regulated 10 hub genes were screened out by protein-protein interaction network (PPI) analysis and STRING in Cytoscape. Similarly, differentially expressed miRNAs (DEMs) were selected by limma package from GSE159508. Then, using the miRwalk website, we further selected 11 miRNAs from 16 DEMs that may have a negative regulatory relationship with hub genes. In vitro RT-PCR verification revealed that nine DEMs and 18 hub genes showed the same trend as the RNA-seq results during the osteogenic differentiation of PDLSCs. Finally, using miR-584-5p inhibitor and mimics, it was found that miR-584-5p negatively regulates the osteogenic differentiation of PDLSCs in vitro. In summary, the present results found several potential osteogenic-related genes and identified candidate miRNA-mRNA networks for the further study of osteogenic differentiation of PDLSCs.
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For the dataset GSE99958, without biological replicates, CORNAS (default 1.5-fold count change) was used to obtain DEGs (Hu et al., 2018). The DEGs of 3, 7, and 14 days compared to 0 days were obtained and the common DEGs were determined. For the dataset GSE159507, the limma package was used to identify DEGs. LogFC > 1 or LogFC < −1 and P-value < 0.05 were considered to indicate statistical significance. At last, the common up-regulated genes and down-regulated genes between GSE99958 and GSE159507 were selected. For the dataset GSE159508, the limma package was also used to identify the differentially expressed miRNAs (DEMs).
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Gene expression profifile during osteogenic differentiation of hPDLSCs was analyzed using microarray
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miRNA expression profifile during osteogenic differentiation of hPDLSCs was analyzed using microarray
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34646313", "kind": "science-record", "revision": 5, "content_hash": "sha256:9fa41829dc2d226194416197d6f2ff8ccdc02a16665a0182501b7a77bdadd973", "created_at": "2026-11-01T17:36:18Z", "updated_at": "2026-11-01T22:47:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis Identified miR-584-5p and Key miRNA-mRNA Networks Involved in the Osteogenic Differentiation of Human Periodontal Ligament Stem Cells.", "doi": "10.3389/fgene.2021.750827", "pmid": "34646313", "authors": ["Chengze Wang", "Lingling Dong", "Ying Wang", "Zhiwei Jiang", "Jing Zhang", "Guoli Yang"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Human periodontal ligament cells (PDLCs) play an important role in periodontal tissue stabilization and function. In the process of osteogenic differentiation of PDLSCs, the regulation of molecular signal pathways are complicated. In this study, the sequencing results of three datasets on GEO were used to comprehensively analyze the miRNA-mRNA network during the osteogenic differentiation of PDLSCs. Using the GSE99958 and GSE159507, a total of 114 common differentially expressed genes (DEGs) were identified, including 62 up-regulated genes and 52 down-regulated genes. GO enrichment analysis was performed. The up-regulated 10 hub genes and down-regulated 10 hub genes were screened out by protein-protein interaction network (PPI) analysis and STRING in Cytoscape. Similarly, differentially expressed miRNAs (DEMs) were selected by limma package from GSE159508. Then, using the miRwalk website, we further selected 11 miRNAs from 16 DEMs that may have a negative regulatory relationship with hub genes. In vitro RT-PCR verification revealed that nine DEMs and 18 hub genes showed the same trend as the RNA-seq results during the osteogenic differentiation of PDLSCs. Finally, using miR-584-5p inhibitor and mimics, it was found that miR-584-5p negatively regulates the osteogenic differentiation of PDLSCs in vitro. In summary, the present results found several potential osteogenic-related genes and identified candidate miRNA-mRNA networks for the further study of osteogenic differentiation of PDLSCs.", "claims": [{"id": "claim-method", "statement": "For the dataset GSE99958, without biological replicates, CORNAS (default 1.5-fold count change) was used to obtain DEGs (Hu et al., 2018). The DEGs of 3, 7, and 14 days compared to 0 days were obtained and the common DEGs were determined. For the dataset GSE159507, the limma package was used to identify DEGs. LogFC > 1 or LogFC < −1 and P-value < 0.05 were considered to indicate statistical significance. At last, the common up-regulated genes and down-regulated genes between GSE99958 and GSE159507 were selected. For the dataset GSE159508, the limma package was also used to identify the differentially expressed miRNAs (DEMs).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34646313", "locator": "sections[4] \"Differentially Expressed Analysis\" paragraph 2", "quote": "For the dataset GSE99958, without biological replicates, CORNAS (default 1.5-fold count change) was used to obtain DEGs (Hu et al., 2018). The DEGs of 3, 7, and 14 days compared to 0 days were obtained and the common DEGs were determined. For the dataset GSE159507, the limma package was used to identify DEGs. LogFC > 1 or LogFC < −1 and P-value < 0.05 were considered to indicate statistical significance. At last, the common up-regulated genes and down-regulated genes between GSE99958 and GSE159507 were selected. For the dataset GSE159508, the limma package was also used to identify the differentially expressed miRNAs (DEMs)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets GSE99958, GSE159507, and GSE159508 for this study can be found in the (Gene Expression Omnibus) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34646313", "locator": "sections[21] \"Data Availability Statement\" paragraph 2", "quote": "The datasets GSE99958, GSE159507, and GSE159508 for this study can be found in the (Gene Expression Omnibus) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using GSE99958 and GSE159507, the study identified 114 common differentially expressed genes, including 62 up-regulated and 52 down-regulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34646313", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Using the GSE99958 and GSE159507, a total of 114 common differentially expressed genes (DEGs) were identified, including 62 up-regulated genes and 52 down-regulated genes."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using GSE99958 and GSE159507, the study identified 114 common differentially expressed genes, including 62 up-regulated and 52 down-regulated genes.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34646313"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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