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pmid:34483854

Elucidating the Molecular Mechanism of Ischemic Stroke Using Integrated Analysis of miRNA, mRNA, and lncRNA Expression Profiles.

Yaxuan Sun · Jing Wang · Bin Han · Kun Meng · Yan Han · Yongxia Ding

Frontiers in integrative neuroscience · 2021 doi:10.3389/fnint.2021.638114

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:34483854
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science-record
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sha256:72c7afabde74145d202b209e2e3d4f3013b4b2144c575f13585a707772512529
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:50Z
updated_at
2026-11-01T22:47:26Z
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paper object · 10 fields
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title
Elucidating the Molecular Mechanism of Ischemic Stroke Using Integrated Analysis of miRNA, mRNA, and lncRNA Expression Profiles.
doi
10.3389/fnint.2021.638114
pmid
34483854
authors array · 6 items
[0]
Yaxuan Sun
[1]
Jing Wang
[2]
Bin Han
[3]
Kun Meng
[4]
Yan Han
[5]
Yongxia Ding
journal
Frontiers in integrative neuroscience
year
2021
abstract
Objective: This study aimed to investigate the possible molecular mechanisms associated with ischemic stroke through the construction of a lncRNA-miRNA-mRNA network. miRNA expression profile in GSE55937, mRNA and lncRNA expression profiles in GSE122709, and mRNA expression profile in GSE146882 were downloaded from the NCBI GEO database. After the identification of the differentially expressed miRNA, lncRNA, and mRNA using GSE55937 and GSE122709 in ischemic stroke vs. control groups, a protein-protein interaction (PPI) network was constructed. The lncRNA-miRNA, lncRNA-mRNA, and miRNA-mRNA pairs were predicted, and a lncRNA-miRNA-mRNA network was constructed. Additionally, the gene-drug interactions were predicted. Characteristic genes were used to construct a support vector machine (SVM) model and verified using quantitative reverse transcription polymerase chain reaction. In total 38 miRNAs, 115 lncRNAs, and 990 mRNAs were identified between ischemic stroke and control groups. A PPI network with 371 nodes and 2306 interaction relationships was constructed. The constructed lncRNA-miRNA-mRNA network contained 7 mRNAs, 14 lncRNAs, such as SND1-IT1, NAPA-AS1, LINC01001, LUCAT1, and ASAP1-IT2, and 8 miRNAs, such as miR-93-3p and miR-24-3p. The drug action analysis of the seven differential mRNAs included in the lncRNA-miRNA-mRNA network showed that four genes (GPR17, ADORA1, OPRM1 and LPAR3) were predicted as molecular targets of drugs. The area under the curve of the constructed SVM model was 0.886. The verification results of the relative expression of RNA by qRT-PCR were consistent with the results of bioinformatics analysis. LPAR3, ADORA1, GPR17, and OPRM1 may serve as therapeutic targets of ischemic stroke. lncRNA-miRNA-mRNA regulatory axis such as SND1-IT1/NAPA-AS1/LINC01001-miR-24-3p-LPAR3/ADORA1 and LUCAT1/ASAP1-IT2-miR-93-3p-GPR17 may play important roles in the progression of ischemic stroke.
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Using the linear regression and empirical Bayes method provided by R (v3.6.1) and limma (v3.42.0) (Ritchie et al., 2015)3 packages, the expression matrixes of miRNA microarray from the Affymetrix platform were subjected to differential expression analysis. The trimmed mean of M-values algorithm (Robinson and Oshlack, 2010) in R package edgeR (v3.28.0) (Robinson et al., 2010) was used to calculate the normalized factors, ordinary dispersion, and intra-gene dispersion of mRNA and lncRNA expression profiles on the Hiseq platform. Additionally, the exact test was performed to obtain the differential expression results and p value.
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sections[5] "Identification of Differentially Expressed mRNAs, lncRNAs, and miRNAs" paragraph 2
quote
Using the linear regression and empirical Bayes method provided by R (v3.6.1) and limma (v3.42.0) (Ritchie et al., 2015)3 packages, the expression matrixes of miRNA microarray from the Affymetrix platform were subjected to differential expression analysis.
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sections[5] "Identification of Differentially Expressed mRNAs, lncRNAs, and miRNAs" paragraph 2
quote
The trimmed mean of M-values algorithm (Robinson and Oshlack, 2010) in R package edgeR (v3.28.0) (Robinson et al., 2010) was used to calculate the normalized factors, ordinary dispersion, and intra-gene dispersion of mRNA and lncRNA expression profiles on the Hiseq platform.
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sections[5] "Identification of Differentially Expressed mRNAs, lncRNAs, and miRNAs" paragraph 2
quote
Additionally, the exact test was performed to obtain the differential expression results and p value.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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sections[23] "Data Availability Statement" paragraph 2
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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LncRNA expression profiling of ischemic stroke patients
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GSM4408717
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GSM4408719
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23178
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Altered lncRNAs transcriptomic profiles in atherosclerosis-induced ischemic stroke
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16384
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Cerebrovascular blood microRNA
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Using the linear regression and empirical Bayes method provided by R (v3.6.1) and limma (v3.42.0) (Ritchie et al., 2015)3 packages, the expression matrixes of miRNA microarray from the Affymetrix platform were subjected to differential expression analysis. The trimmed mean of M-values algorithm (Robinson and Oshlack, 2010) in R package edgeR (v3.28.0) (Robinson et al., 2010) was used to calculate the normalized factors, ordinary dispersion, and intra-gene dispersion of mRNA and lncRNA expression profiles on the Hiseq platform. Additionally, the exact test was performed to obtain the differential expression results and p value.
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Using the linear regression and empirical Bayes method provided by R (v3.6.1) and limma (v3.42.0) (Ritchie et al., 2015)3 packages, the expression matrixes of miRNA microarray from the Affymetrix platform were subjected to differential expression analysis. The trimmed mean of M-values algorithm (Robinson and Oshlack, 2010) in R package edgeR (v3.28.0) (Robinson et al., 2010) was used to calculate the normalized factors, ordinary dispersion, and intra-gene dispersion of mRNA and lncRNA expression profiles on the Hiseq platform. Additionally, the exact test was performed to obtain the differential expression results and p value.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34483854", "kind": "science-record", "revision": 8, "content_hash": "sha256:72c7afabde74145d202b209e2e3d4f3013b4b2144c575f13585a707772512529", "created_at": "2026-11-01T15:41:50Z", "updated_at": "2026-11-01T22:47:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Elucidating the Molecular Mechanism of Ischemic Stroke Using Integrated Analysis of miRNA, mRNA, and lncRNA Expression Profiles.", "doi": "10.3389/fnint.2021.638114", "pmid": "34483854", "authors": ["Yaxuan Sun", "Jing Wang", "Bin Han", "Kun Meng", "Yan Han", "Yongxia Ding"], "journal": "Frontiers in integrative neuroscience", "year": 2021, "abstract": "Objective: This study aimed to investigate the possible molecular mechanisms associated with ischemic stroke through the construction of a lncRNA-miRNA-mRNA network. miRNA expression profile in GSE55937, mRNA and lncRNA expression profiles in GSE122709, and mRNA expression profile in GSE146882 were downloaded from the NCBI GEO database. After the identification of the differentially expressed miRNA, lncRNA, and mRNA using GSE55937 and GSE122709 in ischemic stroke vs. control groups, a protein-protein interaction (PPI) network was constructed. The lncRNA-miRNA, lncRNA-mRNA, and miRNA-mRNA pairs were predicted, and a lncRNA-miRNA-mRNA network was constructed. Additionally, the gene-drug interactions were predicted. Characteristic genes were used to construct a support vector machine (SVM) model and verified using quantitative reverse transcription polymerase chain reaction. In total 38 miRNAs, 115 lncRNAs, and 990 mRNAs were identified between ischemic stroke and control groups. A PPI network with 371 nodes and 2306 interaction relationships was constructed. The constructed lncRNA-miRNA-mRNA network contained 7 mRNAs, 14 lncRNAs, such as SND1-IT1, NAPA-AS1, LINC01001, LUCAT1, and ASAP1-IT2, and 8 miRNAs, such as miR-93-3p and miR-24-3p. The drug action analysis of the seven differential mRNAs included in the lncRNA-miRNA-mRNA network showed that four genes (GPR17, ADORA1, OPRM1 and LPAR3) were predicted as molecular targets of drugs. The area under the curve of the constructed SVM model was 0.886. The verification results of the relative expression of RNA by qRT-PCR were consistent with the results of bioinformatics analysis. LPAR3, ADORA1, GPR17, and OPRM1 may serve as therapeutic targets of ischemic stroke. lncRNA-miRNA-mRNA regulatory axis such as SND1-IT1/NAPA-AS1/LINC01001-miR-24-3p-LPAR3/ADORA1 and LUCAT1/ASAP1-IT2-miR-93-3p-GPR17 may play important roles in the progression of ischemic stroke.", "claims": [{"id": "claim-method", "statement": "Using the linear regression and empirical Bayes method provided by R (v3.6.1) and limma (v3.42.0) (Ritchie et al., 2015)3 packages, the expression matrixes of miRNA microarray from the Affymetrix platform were subjected to differential expression analysis. 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