ArticleFrontiers in psychiatry2022
Identification of key long non-coding RNA-associated competing endogenous RNA axes in Brodmann Area 10 brain region of schizophrenia patients.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Integrative ceRNA network analysis in monozygotic twins reveals shared and disorder-specific molecular signatures in major psychiatric disorders.BMC psychiatry · 2026Article
- Repeated Clozapine Administration Causes Extensive Changes to the Expression of Coding and Non-coding RNAs, Including miR-124, in the Mouse Frontal Cortex.Molecular neurobiology · 2025Article
- LncRNA-miRNA‒mRNA Network in Schizophrenia.Journal of molecular neuroscience : MN · 2025Article
- Alteration of microRNA expression in lymphocytes in patients with first-episode schizophrenia.BMC psychiatry · 2025Article
- The neurodevelopmental regulatory role and clinical value of hsa-circ-CORO1C-hsa-miR-708-3p-JARID2 + LNPEP axis in early-onset schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Bioinformatics Analysis of miR-181a and Its Role in Adipogenesis, Obesity, and Lipid Metabolism Through Review of Literature.Molecular biotechnology · 2024Review
- Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive-compulsive disorder by integrated bioinformatics analysis.BMC psychiatry · 2023Article
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Authors and funding
10 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia (SCZ) is a serious mental condition with an unknown cause. According to the reports, Brodmann Area 10 (BA10) is linked to the pathology and cortical dysfunction of SCZ, which demonstrates a number of replicated findings related to research on SCZ and the dysfunction in tasks requiring cognitive control in particular. Genetics' role in the pathophysiology of SCZ is still unclear. Therefore, it may be helpful to understand the effects of these changes on the onset and progression of SCZ to find novel mechanisms involved in the regulation of gene transcription. In order to determine the molecular regulatory mechanisms affecting the SCZ, the long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) axes in the BA10 area were determined using a bioinformatics approach in the present work. A microarray dataset (GSE17612) consisted of brain post-mortem tissues of the BA10 area from SCZ patients and matched healthy subjects was downloaded from the Gene Expression Omnibus (GEO) database. This dataset included probes for both lncRNAs and mRNAs. Using the R software's limma package, the differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) were found. The RNA interactions were also discovered using the DIANA-LncBase and miRTarBase databases. In the ceRNA network, positive correlations between DEmRNAs and DElncRNAs were evaluated using the Pearson correlation coefficient. Finally, lncRNA-associated ceRNA axes were built by using the co-expression and DElncRNA-miRNA-DEmRNA connections. We identified the DElncRNA-miRNA-DEmRNA axes, which included two key lncRNAs (
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