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- W2934156989 abstract "Summary RNA-sequencing analyses are often limited to identifying lowest p-value transcripts, which does not address polygenic phenomena. To overcome this limitation, we developed an integrative approach that combines large scale transcriptomic meta-analysis of patient brain tissues with single-cell sequencing data of CNS neurons, short RNA-sequencing of human male- and female-originated cell lines, and connectomics of transcription factor- and microRNA-interactions with perturbed transcripts. We used this pipeline to analyze cortical transcripts of schizophrenia and bipolar disorder patients. While these pathologies show massive transcriptional parallels, their clinically well-known sexual dimorphisms remain unexplained. Our method explicates the differences between afflicted men and women, and identifies disease-affected pathways of cholinergic transmission and gp130-family neurokine controllers of immune function, interlinked by microRNAs. This approach may open new perspectives for seeking biomarkers and therapeutic targets, also in other transmitter systems and diseases." @default.
- W2934156989 created "2019-04-11" @default.
- W2934156989 creator A5003680413 @default.
- W2934156989 creator A5021965999 @default.
- W2934156989 creator A5027941021 @default.
- W2934156989 creator A5031187553 @default.
- W2934156989 date "2019-04-07" @default.
- W2934156989 modified "2023-10-16" @default.
- W2934156989 title "Integrative transcriptomics reveals sexually dimorphic microRNA control of the cholinergic/neurokine interface in schizophrenia and bipolar disorder" @default.
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