ArticleSchizophrenia bulletin2016
Exploring Transcription Factors-microRNAs Co-regulation Networks in Schizophrenia.
Article in Schizophrenia bulletin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Epigenetic mechanisms in schizophrenia and other psychotic disorders: a systematic review of empirical human findings.Molecular psychiatry · 2020Pooled it
- Diagnostic value of blood-derived microRNAs for schizophrenia: results of a meta-analysis and validation.Scientific reports · 2017Pooled it
- Differential Expression of miR-26b-5p, EGR1, and STAT1 in Peripheral Blood of Schizophrenia Patients.Psychiatry and clinical psychopharmacology · 2024Article
- Behavioral and transcriptional effects of repeated electroconvulsive seizures in the neonatal MK-801-treated rat model of schizophrenia.Psychopharmacology · 2024Article
- Patient-specific analysis of co-expression to measure biological network rewiring in individuals.Life science alliance · 2024Article
- Early growth response 1 (EGR1) is downregulated in peripheral blood from patients with major psychiatric disorders.Trends in psychiatry and psychotherapy · 2024Article
- Inhibition of miR-4763-3p expression activates the PI3K/mTOR/Bcl2 autophagy signaling pathway to ameliorate cognitive decline.International journal of biological sciences · 2024Article
- Proteomic signatures of schizophrenia-sourced iPSC-derived neural cells and brain organoids are similar to patients' postmortem brains.Cell & bioscience · 2022Article
- Deregulatory miRNA-BDNF Network Inferred from Dynamic Expression Changes in Schizophrenia.Brain sciences · 2022Article
- Identification of key long non-coding RNA-associated competing endogenous RNA axes in Brodmann Area 10 brain region of schizophrenia patients.Frontiers in psychiatry · 2022Article
- Review
- Article
- Post-translational protein modifications in schizophrenia.NPJ schizophrenia · 2020Review
- Co-expression network modeling identifies key long non-coding RNA and mRNA modules in altering molecular phenotype to develop stress-induced depression in rats.Translational psychiatry · 2019Article
- Differential Connectivity in Colorectal Cancer Gene Expression NetworkIranian biomedical journal · 2019Article
- Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.Molecular therapy. Nucleic acids · 2018Article
- Immediate Early Genes Anchor a Biological Pathway of Proteins Required for Memory Formation, Long-Term Depression and Risk for Schizophrenia.Frontiers in behavioral neuroscience · 2018Article
- Investigating the Molecular Mechanism of Aqueous Extract ofFrontiers in pharmacology · 2018Article
- Progress in genome-wide association studies of schizophrenia in Han Chinese populations.NPJ schizophrenia · 2017Review
- Post-mortem molecular profiling of three psychiatric disorders.Genome medicine · 2017Article
Corrections and comments
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Authors and funding
18 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTranscriptional factors (TFs) and microRNAs (miRNAs) have been recognized as 2 classes of principal gene regulators that may be responsible for genome coexpression changes observed in schizophrenia (SZ).
methodsThis study aims to (1) identify differentially coexpressed genes (DCGs) in 3 mRNA expression microarray datasets; (2) explore potential interactions among the DCGs, and differentially expressed miRNAs identified in our dataset composed of early-onset SZ patients and healthy controls; (3) validate expression levels of some key transcripts; and (4) explore the druggability of DCGs using the curated database.
resultsWe detected a differential coexpression network associated with SZ and found that 9 out of the 12 regulators were replicated in either of the 2 other datasets. Leveraging the differentially expressed miRNAs identified in our previous dataset, we constructed a miRNA-TF-gene network relevant to SZ, including an EGR1-miR-124-3p-SKIL feed-forward loop. Our real-time quantitative PCR analysis indicated the overexpression of miR-124-3p, the under expression of SKIL and EGR1 in the blood of SZ patients compared with controls, and the direction of change of miR-124-3p and SKIL mRNA levels in SZ cases were reversed after a 12-week treatment cycle. Our druggability analysis revealed that many of these genes have the potential to be drug targets.
conclusionsTogether, our results suggest that coexpression network abnormalities driven by combinatorial and interactive action from TFs and miRNAs may contribute to the development of SZ and be relevant to the clinical treatment of the disease.
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