Fibroblast and lymphoblast gene expression profiles in schizophrenia: Are non-neural cells informative?

Matigian, Nicholas A., McCurdy, Richard D., Feron, Francois, Perry, Christopher, Smith, Heather, Filippich, Cheryl, McLean, Duncan, McGrath, John J., Mackay-Sim, Alan, Mowry, Bryan and Hayward, Nicholas K. (2008) Fibroblast and lymphoblast gene expression profiles in schizophrenia: Are non-neural cells informative?. PLoS One, 3 6: e2412-1-e2412-5. doi:10.1371/journal.pone.0002412

Author Matigian, Nicholas A.
McCurdy, Richard D.
Feron, Francois
Perry, Christopher
Smith, Heather
Filippich, Cheryl
McLean, Duncan
McGrath, John J.
Mackay-Sim, Alan
Mowry, Bryan
Hayward, Nicholas K.
Title Fibroblast and lymphoblast gene expression profiles in schizophrenia: Are non-neural cells informative?
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2008-06-11
Year available 2008
Sub-type Article (original research)
DOI 10.1371/journal.pone.0002412
Open Access Status DOI
Volume 3
Issue 6
Start page e2412-1
End page e2412-5
Total pages 5
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Language eng
Subject C1
321204 Mental Health
730211 Mental health
Abstract Lymphoblastoid cell lines (LCLs) and fibroblasts provide conveniently derived non-neuronal samples in which to investigate the aetiology of schizophrenia (SZ) using gene expression profiling. This assumes that heritable mechanisms associated with risk of SZ have systemic effects and result in changes to gene expression in all tissues. The broad aim of this and other similar studies is that comparison of the transcriptomes of non-neuronal tissues from SZ patients and healthy controls may identify gene/pathway dysregulation underpinning the neurobiological defects associated with SZ. Using microarrays consisting of 18,664 probes we compared gene expression profiles of LCLs from SZ cases and healthy controls. To identify robust associations with SZ that were not patient or tissue specific, we also examined fibroblasts from an independent series of SZ cases and controls using the same microarrays. In both tissue types ANOVA analysis returned approximately the number of differentially expressed genes expected by chance. No genes were significantly differentially expressed in either tissue when corrected for multiple testing. Even using relaxed parameters (p≤0.05, without multiple testing correction) there were still no differentially expressed genes that also displayed ≥2-fold change between the groups of SZ cases and controls common to both LCLs and fibroblasts. We conclude that despite encouraging data from previous microarray studies assessing non-neural tissues, the lack of a convergent set of differentially expressed genes associated with SZ using fibroblasts and LCLs indicates the utility of non-neuronal tissues for detection of gene expression differences and/or pathways associated with SZ remains to be demonstrated.
Keyword Multidisciplinary Sciences
Science & Technology - Other Topics
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
Queensland Brain Institute Publications
School of Medicine Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 33 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 34 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 03 Apr 2009, 01:13:15 EST by Debra McMurtrie on behalf of Queensland Brain Institute