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pmid:29049183

Identifying key genes associated with acute myocardial infarction.

Ming Cheng · Shoukuan An · Junquan Li

Medicine · 2017 doi:10.1097/MD.0000000000007741

Paper

complete

Experiment

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Data

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Analysis

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title
Identifying key genes associated with acute myocardial infarction.
doi
10.1097/MD.0000000000007741
pmid
29049183
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Ming Cheng
[1]
Shoukuan An
[2]
Junquan Li
journal
Medicine
year
2017
abstract
BACKGROUND: This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data. METHODS: Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package. P < .05 was used as the cutoff for a differentially expressed gene (DEG). The expression data matrices of DEGs were imported in ReactomeFIViz to construct a gene functional interaction (FI) network. Then, DEGs in each module were subjected to pathway enrichment analysis using DAVID. MiRNAs and transcription factors predicted to regulate target DEGs were identified. Quantitative real-time polymerase chain reaction (RT-PCR) was applied to verify the expression of genes. RESULT: A total of 913 upregulated genes and 1060 downregulated genes were identified in the AMI group. A FI network consists of 21 modules and DEGs in 12 modules were significantly enriched in pathways. The transcription factor-miRNA-gene network contains 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p. RT-PCR validations showed that expression levels of FOXO3 and MYBL2 were significantly increased in AMI, and expression levels of hsa-miR-21-5p and hsa-miR-30c-5p were obviously decreased in AMI. CONCLUSION: A total of 41 DEGs, such as SOCS3, VAPA, and COL5A2, are speculated to have roles in the pathogenesis of AMI; 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p may be involved in the regulation of the expression of these DEGs.
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Next, genes without heterogeneity were subjected to differential expression analysis of their expression levels between the AMI group and the control group using metaDE package; P < .05 was used as the cutoff for a differentially expressed gene (DEG).
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sections[5] "Heterogeneity test and screening of characteristic genes" paragraph 2
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Next, genes without heterogeneity were subjected to differential expression analysis of their expression levels between the AMI group and the control group using metaDE package; P < .05 was used as the cutoff for a differentially expressed gene (DEG).
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Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. The samples included in each dataset and annotation platform are listed in Table 1.
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Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. The samples included in each dataset and annotation platform are listed in Table 1.
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Using the metaDE package for differential-expression analysis across three GEO microarray datasets, the study identified 913 upregulated and 1060 downregulated genes in the AMI group.
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Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database.
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After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package.
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A total of 913 upregulated genes and 1060 downregulated genes were identified in the AMI group.
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Using the metaDE package for differential-expression analysis across three GEO microarray datasets, the study identified 913 upregulated and 1060 downregulated genes in the AMI group.
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label
Network / pathway analysis
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0.7
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pathway enrichment
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id
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null
specific
null
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MetaDE differential expression analysis
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evidence object · 3 fields
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quote
Next, genes without heterogeneity were subjected to differential expression analysis of their expression levels between the AMI group and the control group using metaDE package; P < .05 was used as the cutoff for a differentially expressed gene (DEG).
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gaps array · 1 item
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method.reader_named_unmapped
capability object · 3 fields
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capability:computational_analysis
label
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[0]
meta_analysis
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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state
complete
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tier
R1
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true
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pathway_enrich
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pathway_enrichment.
capability object · 4 fields
tier
R1
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capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
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[0]
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statements array · 1 item
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Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. The samples included in each dataset and annotation platform are listed in Table 1.
basis
The paper names GSE66360, GSE34198, GSE48060 in GEO (Gene Expression Omnibus) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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source:pmid:29049183
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asset:table:pmid:29049183:1
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asset:table:pmid:29049183:2
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asset:table:pmid:29049183:3
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run_analysis
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state
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kind
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reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
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minimax
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2026-10-31T18:32:30Z
independence
same_provider
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method
verbatim
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null
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8
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59575
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3674
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pmid:29049183
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paper
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pmid:29049183
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source:pmid:29049183
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manuscript
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PMID 29049183 full text
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id
data:geo:GSE34198
type
dataset
label
GEO GSE34198
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id
activity-reading-sci-2026-11-01
type
classification
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paper
label
pmid:29049183
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manuscript
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PMID 29049183 full text
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data:geo:GSE34198
type
dataset
label
GEO GSE34198
agent
agent:corpus-assay-engine
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agent:minimax-reader
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id
activity-resolve-GSE34198
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used array · 1 item
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data:geo:GSE34198
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agent:corpus-assay-engine
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agent:corpus-assay-engine
type
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id
agent:minimax-reader
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dsl_catalogue_fingerprint
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lineage object · 4 fields
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asset:data:geo:GSE34198 licence not read
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[3]
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assays array · 3 items
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99e1195c7d6f
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99e1195c7d6f
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[0]
e myocardial infarction (AMI) by reanalyzing microarray data. METHODS: Three gene expression profile
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paper_text_order:138
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assay:1
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99e1195c7d6f
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hsa-miR-30c-5p determined using quantitative real-time PCR.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29049183", "kind": "science-record", "revision": 7, "content_hash": "sha256:514640993795507ad0a1a64c6ae04baa9c7fbc5a8a2052182d93528d4d07e32f", "created_at": "2026-11-01T15:40:29Z", "updated_at": "2026-11-01T21:21:07Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identifying key genes associated with acute myocardial infarction.", "doi": "10.1097/MD.0000000000007741", "pmid": "29049183", "authors": ["Ming Cheng", "Shoukuan An", "Junquan Li"], "journal": "Medicine", "year": 2017, "abstract": "BACKGROUND: This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data.\nMETHODS: Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package. P < .05 was used as the cutoff for a differentially expressed gene (DEG). The expression data matrices of DEGs were imported in ReactomeFIViz to construct a gene functional interaction (FI) network. Then, DEGs in each module were subjected to pathway enrichment analysis using DAVID. MiRNAs and transcription factors predicted to regulate target DEGs were identified. Quantitative real-time polymerase chain reaction (RT-PCR) was applied to verify the expression of genes.\nRESULT: A total of 913 upregulated genes and 1060 downregulated genes were identified in the AMI group. A FI network consists of 21 modules and DEGs in 12 modules were significantly enriched in pathways. The transcription factor-miRNA-gene network contains 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p. RT-PCR validations showed that expression levels of FOXO3 and MYBL2 were significantly increased in AMI, and expression levels of hsa-miR-21-5p and hsa-miR-30c-5p were obviously decreased in AMI.\nCONCLUSION: A total of 41 DEGs, such as SOCS3, VAPA, and COL5A2, are speculated to have roles in the pathogenesis of AMI; 2 transcription factors FOXO3 and MYBL2, and 2 miRNAs hsa-miR-21-5p and hsa-miR-30c-5p may be involved in the regulation of the expression of these DEGs.", "claims": [{"id": "claim-method", "statement": "Next, genes without heterogeneity were subjected to differential expression analysis of their expression levels between the AMI group and the control group using metaDE package; P < .05 was used as the cutoff for a differentially expressed gene (DEG).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29049183", "locator": "sections[5] \"Heterogeneity test and screening of characteristic genes\" paragraph 2", "quote": "Next, genes without heterogeneity were subjected to differential expression analysis of their expression levels between the AMI group and the control group using metaDE package; P < .05 was used as the cutoff for a differentially expressed gene (DEG)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. The samples included in each dataset and annotation platform are listed in Table 1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29049183", "locator": "sections[3] \"Source of microarray data\" paragraph 2", "quote": "Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. The samples included in each dataset and annotation platform are listed in Table 1."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using the metaDE package for differential-expression analysis across three GEO microarray datasets, the study identified 913 upregulated and 1060 downregulated genes in the AMI group.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:29049183", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database."}, {"asset": "source:pmid:29049183", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package."}, {"asset": "source:pmid:29049183", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 913 upregulated genes and 1060 downregulated genes were identified in the AMI group."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using the metaDE package for differential-expression analysis across three GEO microarray datasets, the study identified 913 upregulated and 1060 downregulated genes in the AMI group.", "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:29049183"], "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:GSE34198"], "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:GSE34198"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29049183", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000007741", "sha256": "sha256:ea18995c1f6410249d145f2d76e82b4d6ce9e4437ca7e186a0988a95de703b34", "bytes": 27660, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1097/MD.0000000000007741", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5662349", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE34198", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE34198", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE34198", "version": null, "note": "Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO (Gene Expression Omnibus, http://www.ncbi.nlm.nih.gov/geo/) database. 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