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pmid:33149760

Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.

Huijing Zhu · Xin Zhu · Yuhong Liu · Fusong Jiang · Miao Chen · Lin Cheng · Xingbo Cheng

Computational and mathematical methods in medicine · 2020 doi:10.1155/2020/9602016

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

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:33149760
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science-record
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2026-11-01T15:41:15Z
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paper object · 10 fields
state
complete
title
Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.
doi
10.1155/2020/9602016
pmid
33149760
authors array · 7 items
[0]
Huijing Zhu
[1]
Xin Zhu
[2]
Yuhong Liu
[3]
Fusong Jiang
[4]
Miao Chen
[5]
Lin Cheng
[6]
Xingbo Cheng
journal
Computational and mathematical methods in medicine
year
2020
abstract
OBJECTIVE: The aim of this study was to identify the candidate genes in type 2 diabetes mellitus (T2DM) and explore their potential mechanisms. METHODS: The gene expression profile GSE26168 was downloaded from the Gene Expression Omnibus (GEO) database. The online tool GEO2R was used to obtain differentially expressed genes (DEGs). Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by using Metascape for annotation, visualization, and comprehensive discovery. The protein-protein interaction (PPI) network of DEGs was constructed by using Cytoscape software to find the candidate genes and key pathways. RESULTS: A total of 981 DEGs were found in T2DM, including 301 upregulated genes and 680 downregulated genes. GO analyses from Metascape revealed that DEGs were significantly enriched in cell differentiation, cell adhesion, intracellular signal transduction, and regulation of protein kinase activity. KEGG pathway analysis revealed that DEGs were mainly enriched in the cAMP signaling pathway, Rap1 signaling pathway, regulation of lipolysis in adipocytes, PI3K-Akt signaling pathway, MAPK signaling pathway, and so on. On the basis of the PPI network of the DEGs, the following 6 candidate genes were identified: PIK3R1, RAC1, GNG3, GNAI1, CDC42, and ITGB1. CONCLUSION: Our data provide a comprehensive bioinformatics analysis of genes, functions, and pathways, which may be related to the pathogenesis of T2DM.
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GEO2R was applied to explore DEGs between T2DM and normal blood samples. Statistically significant DEGs were defined with ∣logFC | ≥2, and the P value < 0.05 was the cut-off criterion.
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GEO2R was applied to explore DEGs between T2DM and normal blood samples. Statistically significant DEGs were defined with ∣logFC | ≥2, and the P value < 0.05 was the cut-off criterion.
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Homo sapiens; Human betaherpesvirus 5; Murid gammaherpesvirus 4; Betapolyomavirus hominis; Rattus norvegicus; Murid betaherpesvirus 1; JC polyomavirus; Human immunodeficiency virus 1; human gammaherpesvirus 4; Human gammaherpesvirus 8; Betapolyomavirus macacae; Mus musculus; Human alphaherpesvirus 1
title
Type 2 Diabetes mellitus: mRNA and miRNA profiling
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The candidate genes selected from the protein-protein interaction network.
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3.3. PPI Network Construction and Analysis of Modules
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The candidate genes selected from the protein-protein interaction network.
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method-3
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GEO2R was applied to explore DEGs between T2DM and normal blood samples. Statistically significant DEGs were defined with ∣logFC | ≥2, and the P value < 0.05 was the cut-off criterion.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33149760", "kind": "science-record", "revision": 7, "content_hash": "sha256:f07dc374024fc1be9d3bc3ee938da6bf09af2539e827b0fd028adc9701d4d9d6", "created_at": "2026-11-01T15:41:15Z", "updated_at": "2026-11-01T22:02:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.", "doi": "10.1155/2020/9602016", "pmid": "33149760", "authors": ["Huijing Zhu", "Xin Zhu", "Yuhong Liu", "Fusong Jiang", "Miao Chen", "Lin Cheng", "Xingbo Cheng"], "journal": "Computational and mathematical methods in medicine", "year": 2020, "abstract": "OBJECTIVE: The aim of this study was to identify the candidate genes in type 2 diabetes mellitus (T2DM) and explore their potential mechanisms.\nMETHODS: The gene expression profile GSE26168 was downloaded from the Gene Expression Omnibus (GEO) database. The online tool GEO2R was used to obtain differentially expressed genes (DEGs). Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by using Metascape for annotation, visualization, and comprehensive discovery. The protein-protein interaction (PPI) network of DEGs was constructed by using Cytoscape software to find the candidate genes and key pathways.\nRESULTS: A total of 981 DEGs were found in T2DM, including 301 upregulated genes and 680 downregulated genes. GO analyses from Metascape revealed that DEGs were significantly enriched in cell differentiation, cell adhesion, intracellular signal transduction, and regulation of protein kinase activity. KEGG pathway analysis revealed that DEGs were mainly enriched in the cAMP signaling pathway, Rap1 signaling pathway, regulation of lipolysis in adipocytes, PI3K-Akt signaling pathway, MAPK signaling pathway, and so on. On the basis of the PPI network of the DEGs, the following 6 candidate genes were identified: PIK3R1, RAC1, GNG3, GNAI1, CDC42, and ITGB1.\nCONCLUSION: Our data provide a comprehensive bioinformatics analysis of genes, functions, and pathways, which may be related to the pathogenesis of T2DM.", "claims": [{"id": "claim-method", "statement": "GEO2R was applied to explore DEGs between T2DM and normal blood samples. Statistically significant DEGs were defined with ∣logFC | ≥2, and the P value < 0.05 was the cut-off criterion.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33149760", "locator": "sections[4] \"2.2. Identification of DEGs\" paragraph 2", "quote": "GEO2R was applied to explore DEGs between T2DM and normal blood samples. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE26168"], "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:GSE26168"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33149760", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2020/9602016", "sha256": "sha256:b68baed0feaeff0bb06d04241f0075cd8eb4e0ff4eaa268dcca8ef5fce43cbfc", "bytes": 28304, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2020/9602016", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7603564", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE26168", "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=GSE26168", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE26168", "version": null, "note": "The data used to support the findings of this study are available from the corresponding author upon request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are available from the corresponding author upon request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM532819", "GSM532820", "GSM532821", "GSM532822", "GSM532823", "GSM532824", "GSM532825", "GSM532826", "GSM532827", "GSM532828", "GSM532829", "GSM532830", "GSM532831", "GSM532832", "GSM532833", "GSM532834", "GSM532835", "GSM532836", "GSM532837", "GSM532838", "GSM532839", "GSM532840", "GSM532841", "GSM532842", "GSM532843", "GSM532844", "GSM532845", "GSM532846", "GSM532847", "GSM532848", "GSM532849", "GSM532850", "GSM532851", "GSM532852", "GSM532853", "GSM532854", "GSM532855", "GSM532856", "GSM532857", "GSM532858", "GSM532859", "GSM532860", "GSM532861", "GSM532862", "GSM532863", "GSM532864", "GSM532865", "GSM532866", "GSM532867", "GSM532868", "GSM642434", "GSM642435", "GSM642436", "GSM642437", "GSM642438", "GSM642439", "GSM642440", "GSM642441", "GSM642442", "GSM642443"], "sample_count": 60, "group_sizes": null, "group_sizes_basis": null, "platform": "10322;6883", "taxon": "Homo sapiens; Human betaherpesvirus 5; Murid gammaherpesvirus 4; Betapolyomavirus hominis; Rattus norvegicus; Murid betaherpesvirus 1; JC polyomavirus; Human immunodeficiency virus 1; human gammaherpesvirus 4; Human gammaherpesvirus 8; Betapolyomavirus macacae; Mus musculus; Human alphaherpesvirus 1", "title": "Type 2 Diabetes mellitus: mRNA and miRNA profiling", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33149760:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:80a3576d9403eea8a99ba1aed31d59f01d946ff68ff10005a0d579d29cdbdb77", "bytes": 1169, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#tab1", "version": null, "note": "The candidate genes selected from the protein-protein interaction network.", "structure": {"pmcid": "PMC7603564", "section_index": 10, "section_title": "3.3. 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