4.7 Article

The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia Patients

Journal

EBIOMEDICINE
Volume 34, Issue -, Pages 171-181

Publisher

ELSEVIER
DOI: 10.1016/j.ebiom.2018.07.022

Keywords

Schizophrenia; Next-generation sequencing; Transcriptome; Systems biology

Funding

  1. Children's Hospital of Philadelphia Endowed Chair in Genomic Research
  2. Children's Hospital of Philadelphia
  3. NIMH [MH096891-03S1, RC2 MH089924-02, R01 MH097284-03]
  4. NIH [U01-HG008684]

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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. (c) 2018 Published by Elsevier B.V.

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