Transcriptomics

Dataset Information

0

Systematically characterizing dysfunctional long intergenic non-coding RNAs in multiple brain regions of major psychosis


ABSTRACT: Schizophrenia (SZ) and bipolar disorder (BD) are severe neuropsychiatric disorders with serious impact on patients, together termed “major psychosis”. Recently, long intergenic non-coding RNAs (lincRNAs) were reported to play important roles in mental diseases. However, little was known about their molecular mechanism in pathogenesis of SZ and BD. Here, we performed RNA sequencing on 82 post-mortem brain tissues from three brain regions (orbitofrontal cortex (BA11), anterior cingulate cortex (BA24) and dorsolateral prefrontal cortex (BA9)) of patients with SZ and BD and control subjects, generating over one billion reads. We characterized lincRNA transcriptome in the three brain regions and identified 20 differentially expressed lincRNAs (DELincRNAs) in BA11 for BD, 34 and 1 in BA24 and BA9 for SZ, respectively. Our results showed that these DELincRNAs exhibited brain region-specific patterns. Applying weighted gene co-expression network analysis, we revealed that DELincRNAs together with other genes can function as modules to perform different functions in different brain regions, such as immune system development in BA24 and oligodendrocyte differentiation in BA9. Additionally, we found that DNA methylation alteration could partly explain the dysregulation of lincRNAs, some of which could function as enhancers in the pathogenesis of major psychosis. Together, we performed systematical characterization of dysfunctional lincRNAs in multiple brain regions of major psychosis, which provided a valuable resource to understand their roles in SZ and BD pathology and helped to discover novel biomarkers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE78936 | GEO | 2016/09/01

SECONDARY ACCESSION(S): PRJNA314463

REPOSITORIES: GEO

Similar Datasets

2016-09-01 | E-GEOD-78936 | biostudies-arrayexpress
2018-12-17 | GSE96614 | GEO
2018-12-17 | GSE96612 | GEO
2018-12-17 | GSE96613 | GEO
2016-02-25 | E-GEOD-78246 | biostudies-arrayexpress
2016-02-25 | GSE78246 | GEO
2006-02-08 | GSE3790 | GEO
2009-09-12 | E-GEOD-3790 | biostudies-arrayexpress
2020-11-20 | GSE144032 | GEO
2014-09-03 | GSE53924 | GEO