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pmid:36819574

Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis.

Minhong Su · Junfang Liu · Xiping Wu · Xin Chen · Qiang Xiao · Ning Jiang

Annals of translational medicine · 2023 doi:10.21037/atm-22-6161

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36819574
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2026-11-01T19:01:25Z
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title
Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis.
doi
10.21037/atm-22-6161
pmid
36819574
authors array · 6 items
[0]
Minhong Su
[1]
Junfang Liu
[2]
Xiping Wu
[3]
Xin Chen
[4]
Qiang Xiao
[5]
Ning Jiang
journal
Annals of translational medicine
year
2023
abstract
Background: The transcription factors (TFs)-microRNA (miRNA)-messenger RNA (mRNA) network plays an important role in a variety of diseases. However, the relationship between the TFs-miRNA-mRNA network and idiopathic pulmonary fibrosis (IPF) remains unclear. Methods: The GSE110147 and GSE53845 datasets from the Gene Expression Omnibus (GEO) database were used to process differentially expressed genes (DEGs) analysis, gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), as well as Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The GSE13316 dataset was used to perform differentially expressed miRNAs (DEMs) analysis and TFs prediction. Finally, a TFs-miRNA-mRNA network related to IPF was constructed, and its function was evaluated by Gene Ontology (GO) and KEGG analyses. Also, 19 TFs in the network were verified by quantitative real time polymerase chain reaction (qRT-PCR). Results: Through our analysis, 53 DEMs and 2,630 DEGs were screened. The GSEA results suggested these genes were mainly related to protein digestion and absorption. The WGCNA results showed that these DEGs were divided into eight modules, and the GO and KEGG analyses results of blue module genes showed that these 86 blue module genes were mainly enriched in cilium assembly and cilium organization. Moreover, a TFs-miRNA-mRNA network comprising 25 TFs, 11 miRNAs, and 60 mRNAs was constructed. Ultimately, the functional enrichment analysis showed that the TFs-miRNA-mRNA network was mainly related to the cell cycle and the phosphatidylinositol 3 kinase-protein kinase B (PI3K-Akt) signaling pathway. Furthermore, experimental verification of the TFs showed that ARNTL, TRIM28, EZH2, BCOR, and ASXL1 were sufficiently up-regulated in the transforming growth factor (TGF)-β1 treatment groups, while BCL6, BHLHE40, FOXA1, and EGR1 were significantly down-regulated. Conclusions: The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF. ARNTL, TRIM28, EZH2, BCOR, ASXL1, BCL6, BHLHE40, FOXA1, and EGR1 may play important roles in IPF and become effective biomarkers for diagnosis and treatment.
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Multiple group comparisons were assessed using a two-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test.
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Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-22-6161/dss
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The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.
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The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.
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The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36819574", "kind": "science-record", "revision": 4, "content_hash": "sha256:e03f58108688b406fd882cca6188e45e020659f7b1a12df1ea128dc0e560348c", "created_at": "2026-11-01T19:01:25Z", "updated_at": "2026-11-01T22:51:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis.", "doi": "10.21037/atm-22-6161", "pmid": "36819574", "authors": ["Minhong Su", "Junfang Liu", "Xiping Wu", "Xin Chen", "Qiang Xiao", "Ning Jiang"], "journal": "Annals of translational medicine", "year": 2023, "abstract": "Background: The transcription factors (TFs)-microRNA (miRNA)-messenger RNA (mRNA) network plays an important role in a variety of diseases. However, the relationship between the TFs-miRNA-mRNA network and idiopathic pulmonary fibrosis (IPF) remains unclear.\nMethods: The GSE110147 and GSE53845 datasets from the Gene Expression Omnibus (GEO) database were used to process differentially expressed genes (DEGs) analysis, gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), as well as Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The GSE13316 dataset was used to perform differentially expressed miRNAs (DEMs) analysis and TFs prediction. Finally, a TFs-miRNA-mRNA network related to IPF was constructed, and its function was evaluated by Gene Ontology (GO) and KEGG analyses. Also, 19 TFs in the network were verified by quantitative real time polymerase chain reaction (qRT-PCR).\nResults: Through our analysis, 53 DEMs and 2,630 DEGs were screened. The GSEA results suggested these genes were mainly related to protein digestion and absorption. The WGCNA results showed that these DEGs were divided into eight modules, and the GO and KEGG analyses results of blue module genes showed that these 86 blue module genes were mainly enriched in cilium assembly and cilium organization. Moreover, a TFs-miRNA-mRNA network comprising 25 TFs, 11 miRNAs, and 60 mRNAs was constructed. Ultimately, the functional enrichment analysis showed that the TFs-miRNA-mRNA network was mainly related to the cell cycle and the phosphatidylinositol 3 kinase-protein kinase B (PI3K-Akt) signaling pathway. Furthermore, experimental verification of the TFs showed that ARNTL, TRIM28, EZH2, BCOR, and ASXL1 were sufficiently up-regulated in the transforming growth factor (TGF)-β1 treatment groups, while BCL6, BHLHE40, FOXA1, and EGR1 were significantly down-regulated.\nConclusions: The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF. ARNTL, TRIM28, EZH2, BCOR, ASXL1, BCL6, BHLHE40, FOXA1, and EGR1 may play important roles in IPF and become effective biomarkers for diagnosis and treatment.", "claims": [{"id": "claim-method", "statement": "Multiple group comparisons were assessed using a two-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36819574", "locator": "sections[12] \"Statistical analysis\" paragraph 2", "quote": "Multiple group comparisons were assessed using a two-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-22-6161/dss", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36819574", "locator": "sections[25] \"(untitled)\" paragraph 1", "quote": "Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-22-6161/dss"}], "state": "complete"}, {"id": "claim-target-result", "statement": "The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36819574", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.", "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:36819574"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE110147"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE110147"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36819574", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/atm-22-6161", "sha256": 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