The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia Patients

Tian Tian, Zhi Wei, Xiao Chang, Yichuan Liu, Raquel E. Gur, Patrick M.A. Sleiman, Hakon Hakonarson

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

To date, most transcriptome studies of schizophrenia focus on the analysis of protein-coding genes. Long noncoding RNAs (lncRNAs) are emerging as key tissue-specific regulators of cellular and disease processes. The amygdala brain region has been implicated in the pathophysiology of schizophrenia. We performed unbiased whole transcriptome profiling of amygdala tissues from 22 schizophrenia patients and 24 non-psychiatric controls using RNA-seq. We reconstructed amygdala transcriptome and employed systems biology approaches to annotating the functional roles of lncRNAs. As a result, we identified 839 novel lncRNAs in amygdala. We found in amygdala lncRNAs are more subtype-specific than protein-coding genes. We identified functional modules associated with “synaptic transmission” “ribosome” and “immune responses” which were related to schizophrenia pathophysiology that involved lncRNAs. Integrative functional analyses associating individual lncRNAs with specific pathways and functions further show that amygdala lncRNAs are connected with all of these pathways. Our study presents the first systematic landscape of lncRNAs in amygdala tissue from schizophrenia cases.

Original languageEnglish (US)
Pages (from-to)171-181
Number of pages11
JournalEBioMedicine
Volume34
DOIs
StatePublished - Aug 2018

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

Keywords

  • Next-generation sequencing
  • Schizophrenia
  • Systems biology
  • Transcriptome

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