Transciptome changes in relation to manic episode
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ABSTRACT:
PROVIDER: PRJNA501805 | ENA |
REPOSITORIES: ENA
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Project description:The present study focused on manic episode in bipolar disorder (BD) patients, and to investigate state-specific transcriptome alterations between acute episode and remission, including mRNAs, long non-coding RNAs (lncRNAs), and miRNAs using Affymetrix Human Transcriptome Array 2.0.
2018-10-31 | GSE121963 | GEO
Project description:This study examined the miRNA expression level in exosomal derived from the plasma of first episode schizophrenia (FOS) patients and Healthy controls (HC), and explored the the potential of exosomes as biomarkers for schizophrenia. This study examined the lncRNA expression level in exosomal derived from the plasma of first episode schizophrenia (FOS) patients and Healthy controls (HC), and explored the the potential of exosomes as biomarkers for schizophrenia. This study examined the mRNA expression level in exosomal derived from the plasma of first episode schizophrenia (FOS) patients and Healthy controls (HC), and explored the the potential of exosomes as biomarkers for schizophrenia.
2023-08-30 | GSE228881 | GEO
Project description:Bipolar disorder (BD) is highly heritable and well known for its recurrent manic and depressive episodes. The present study focused on manic episode in BD patients and aimed to investigate state-specific transcriptome alterations between acute episode and remission, including messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and micro-RNAs (miRNAs), using microarray and RNA sequencing (RNA-Seq) platforms. BD patients were enrolled with clinical information, and peripheral blood samples collected at both acute and remission status spanning for at least 2 months were confirmed by follow-ups. Symptom severity was assessed by Young Mania Rating Scale. We enrolled six BD patients as the discovery samples and used the Affymetrix Human Transcriptome Array 2.0 to capture transcriptome data at the two time points. For replication, expression data from Gene Expression Omnibus that consisted of 11 BD patients were downloaded, and we performed a mega-analysis for microarray data of 17 patients. Moreover, we conducted RNA sequencing (RNA-Seq) in additional samples of 7 BD patients. To identify intraindividual differentially expressed genes (DEGs), we analyzed data using a linear model controlling for symptom severity. We found that noncoding genes were of majority among the top DEGs in microarray data. The expression fold change of coding genes among DEGs showed moderate to high correlations (∼0.5) across platforms. A number of lncRNAs and two miRNAs (MIR181B1 and MIR103A1) exhibited high levels of gene expression in the manic state. For coding genes, we reported that the taste function-related genes, including TAS2R5 and TAS2R3, may be mania state-specific markers. Additionally, four genes showed a nominal p-value of less than 0.05 in all our microarray data, mega-analysis, and RNA-Seq analysis. They were upregulated in the manic state and consisted of MS4A14, PYHIN1, UTRN, and DMXL2, and their gene expression patterns were further validated by quantitative real-time polymerase chain reaction (PCR) (qRT-PCR). We also performed weight gene coexpression network analysis to identify gene modules for manic episode. Genes in the mania-related modules were different from the susceptible loci of BD obtained from genome-wide association studies, and biological pathways in relation to these modules were mainly related to immune function, especially cytokine-cytokine receptor interaction. Results of the present study elucidated potential molecular targets and genomic networks that are involved in manic episode. Future studies are needed to further validate these biomarkers for their roles in the etiology of bipolar illness.
| S-EPMC6504680 | biostudies-literature
Project description:vasc1-bravo-Transciptome of VASC1
| PRJNA579542 | ENA
Project description:Transciptome profiling of 18 breast cancer cell llines as part of a drug screen to identify mechanisms of response and resistance for each compound and find biomarkers doi: 10.7554/eLife.57894
2020-06-16 | GSE152102 | GEO
Project description:Background: Schizophrenia (SZ) is a debilitating mental illness with uncertain etiology and challenges in early diagnosis and treatment outcomes. For the first time, we applied a multiomics techniques to explore plasma exosomal markers of SZ and underlying molecular mechanisms. Methods: Exosomes were separated and identified from ten drug-naive first-episode SZ patients and ten healthy controls. Then small RNA-seq and high-performance liquid chromatography-tandem mass spectrometry technology were used to detect the profiles of microRNAs (miRNAs) and proteomics, respectively. The integrative multiomics analysis was further performed. Results: A total of 167 differentially expressed miRNAs (DE miRNAs) were identified in plasma exosomes from drug-naive first-episode SZ patients. The potential target genes of DE miRNAs were predicted, and GO and KEGG enrichment analysis showed that they were associated with RNA catabolic process, proteasome-mediated ubiquitin-dependent protein catabolic process, etc. Proteomic analysis identified 274 differentially expressed proteins (DEPs), and DEPs were mainly enriched in immune response and some signaling pathways. The combination of Top 10 DE miRNAs/ DEPs both had good values to diagnose SZ. Importantly, miRNA-protein ceRNA networks were constructed by integrating multiomics, one consisting of 21 downregulated DE miRNAs and 21 upregulated DEPs and the other consisting of 64 upregulated DE miRNAs and 86 downregulated DEPs in SZ patients. Conclusions: Our study for the first time describes the multiomics landscape of plasma exosomes in first-episode drug-naïve of SZ, and provides novel insights into the molecular alterations of SZ. These findings hold promise for advancing diagnostic and therapeutic strategies in SZ management.
2025-08-13 | GSE292347 | GEO
Project description:Transciptome analysis of acute myocardial infarction
| PRJNA508899 | ENA
Project description:Genome-wide patterns of DNA methylation were quantified using the Illumina Infinium HumanMethylationEPIC BeadChip (“EPIC array”) in DNA samples isolated from blood for schizophrenia cases, first episode psychosis patients and controls. These samples were profiled as part of a wider study where they were meta-analysed with other cohorts.
2021-04-07 | GSE152026 | GEO
Project description:Blood methylomes of the first-episode schizophrenia patients differing in their response to amisulpride treatment (OPTiMiSE cohort)
2024-12-30 | E-MTAB-13006 | biostudies-arrayexpress
Project description:Transciptome profile of TrmB in Haloarcula hispanica
| PRJNA942932 | ENA