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pmid:35757636

Identification of Five Hub Genes Based on Single-Cell RNA Sequencing Data and Network Pharmacology in Patients With Acute Myocardial Infarction.

Ziguang Song · Pingping Gao · Xiao Zhong · Mingyang Li · Mengmeng Wang · Xiang Song

Frontiers in public health · 2022 doi:10.3389/fpubh.2022.894129

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

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title
Identification of Five Hub Genes Based on Single-Cell RNA Sequencing Data and Network Pharmacology in Patients With Acute Myocardial Infarction.
doi
10.3389/fpubh.2022.894129
pmid
35757636
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Ziguang Song
[1]
Pingping Gao
[2]
Xiao Zhong
[3]
Mingyang Li
[4]
Mengmeng Wang
[5]
Xiang Song
journal
Frontiers in public health
year
2022
abstract
Acute myocardial infarction (AMI) has a high mortality. The single-cell RNA sequencing (scRNA-seq) method was used to analyze disease heterogeneity at the single-cell level. From the Gene Expression Omnibus (GEO) database (GSE180678), AMI scRNA-seq were downloaded and preprocessed by the Seurat package. Gene expression data came from GSE182923. Cell cluster analysis was conducted. Cell types were identified. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were performed on hub genes. Drugs were predicted by protein-protein interaction (PPI) and molecular docking. In total, 7 cell clusters were defined based on the scRNA-seq dataset, and the clusters were labeled as 5 cell types by marker genes. Hematopoietic stem cell types as a differential subgroups were higher in AMI than in healthy tissues. From available databases and PPI analysis, 52 common genets were identified. Based on 52 genes, 5 clusters were obtained using the MCODE algorithm, and genes in these 5 clusters involved in immune and inflammatory pathways were determined. Correlation analysis showed that hematopoietic stem cell types were negatively correlated with ATM, CARM1, and CASP8 but positively correlated with CASP3 and PPARG. This was reversed with immune cells. Molecular docking analysis showed that DB05490 had the lowest docking score with PPARG. We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression. Compound DB05490 was a potential inhibitor of PPAG.
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We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression.
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Identification of Five Hub Genes Based on Single-Cell RNA Sequencing Data and Network Pharmacology in Patients Wi
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l infarction (AMI) has a high mortality. The single-cell RNA sequencing (scRNA-seq) method was used to analyze disea
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h mortality. The single-cell RNA sequencing (scRNA-seq) method was used to analyze disease heteroge
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35757636", "kind": "science-record", "revision": 4, "content_hash": "sha256:ff48d8a9742b8b1bae02098af5b8074102ffd63fd7d25df356e2ed28b537a117", "created_at": "2026-11-01T18:14:47Z", "updated_at": "2026-11-01T22:06:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Five Hub Genes Based on Single-Cell RNA Sequencing Data and Network Pharmacology in Patients With Acute Myocardial Infarction.", "doi": "10.3389/fpubh.2022.894129", "pmid": "35757636", "authors": ["Ziguang Song", "Pingping Gao", "Xiao Zhong", "Mingyang Li", "Mengmeng Wang", "Xiang Song"], "journal": "Frontiers in public health", "year": 2022, "abstract": "Acute myocardial infarction (AMI) has a high mortality. The single-cell RNA sequencing (scRNA-seq) method was used to analyze disease heterogeneity at the single-cell level. From the Gene Expression Omnibus (GEO) database (GSE180678), AMI scRNA-seq were downloaded and preprocessed by the Seurat package. Gene expression data came from GSE182923. Cell cluster analysis was conducted. Cell types were identified. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were performed on hub genes. Drugs were predicted by protein-protein interaction (PPI) and molecular docking. In total, 7 cell clusters were defined based on the scRNA-seq dataset, and the clusters were labeled as 5 cell types by marker genes. Hematopoietic stem cell types as a differential subgroups were higher in AMI than in healthy tissues. From available databases and PPI analysis, 52 common genets were identified. Based on 52 genes, 5 clusters were obtained using the MCODE algorithm, and genes in these 5 clusters involved in immune and inflammatory pathways were determined. Correlation analysis showed that hematopoietic stem cell types were negatively correlated with ATM, CARM1, and CASP8 but positively correlated with CASP3 and PPARG. This was reversed with immune cells. Molecular docking analysis showed that DB05490 had the lowest docking score with PPARG. We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression. Compound DB05490 was a potential inhibitor of PPAG.", "claims": [{"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/, GSE180678 and GSE182923.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35757636", "locator": "sections[20] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/, GSE180678 and GSE182923."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35757636", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We identified 5 hub genes (ATM, CARM1, CASP8, CASP3, and PPARG) involved in AMI progression.", "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:35757636"], "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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