ArticleFrontiers in neuroscience2022
Differential Expression and Correlation Analysis of Global Transcriptome for Hemorrhagic Transformation After Acute Ischemic Stroke.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Lack of cortistatin drives neuroimmune and vascular dysfunction in brain ischemia.Journal of biomedical science · 2026Article
- LINC00240 Knockdown Suppresses the Proliferation, Migration, and Invasion of Ovarian Cancer Cells Through the miR-30c-5p/P4HA2 Axis.Journal of cellular and molecular medicine · 2026Article
- MicroRNA-383-5p regulation of NADPH oxidase 4 alleviates hemorrhagic transformation and improves acute outcomes after endovascular recanalization in acute ischemic stroke.Frontiers in immunology · 2026Article
- Advances in genetics and multi-omics for ischemic stroke: from pathogenesis to clinical translation.Frontiers in genetics · 2026Review
- MicroRNA-29a-5p attenuates hemorrhagic transformation and improves outcomes after mechanical reperfusion for acute ischemic stroke.Non-coding RNA research · 2025Article
- Annexin A2: regulating glioma's fate and a potential therapeutic target.Medical oncology (Northwood, London, England) · 2025Article
- MicroRNAs Associated with Parenchymal Hematoma After Endovascular Mechanical Reperfusion for Acute Ischemic Stroke in Rats.Biomedicines · 2025Article
- Differential expression and correlation analysis of whole transcriptome for type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- Analysis of brain and blood single-cell transcriptomics in acute and subacute phases after experimental stroke.Nature immunology · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to explore the epigenetic characteristics of hemorrhagic transformation (HT) after acute ischemic stroke, we used transcriptome sequencing technology to analyze the global transcriptome expression profile of patients with and without HT after acute ischemic stroke and to study the differential expression of messenger RNA (mRNA), long noncoding RNA (lncRNA), circular RNA (circRNA) and mircoRNA (miRNA) between the two groups. To further explore the role of differentially expressed genes in HT, we annotated the function of differentially expressed genes by using gene ontology (GO) and pathway analysis on the results and showed that there were 1,051 differential expressions of lncRNAs, 2,575 differential expressions of mRNAs, 447 differential expressions of circRNAs and 47 miRNAs in patients with HT compared with non-HT patients. Pathway analysis showed that ubiquitin-mediated proteolysis, MAPK signal pathway, axon guidance, HIF-1 signal pathway, NOD-like receptor signal pathway, beta-alanine metabolism, Wnt signal pathway, sphingolipid signal pathway, neuroactive ligand-receptor interaction, and intestinal immune network used in IgA production play an important role in HT. Terms such as iron homeostasis, defense response, immune system process, DNA conformational change, production of transforming growth factor beta-2, and oxidoreductase activity were enriched in the gene list, suggesting a potential correlation with HT. A total of 261 lncRNA-miRNA relationship pairs and 21 circRNA-miRNA relationship pairs were obtained; additionally, 5 circRNAs and 13 lncRNAs were screened, which can be used as competing endogenous RNA (ceRNA) to compete with miRNA in the co-expression network. Co-expression network analysis shows that these differentially expressed circRNA and lncRNA may play a vital role in HT and provide valuable information for new biomarkers or therapeutic targets.
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