Transcriptome sequencing of neuronal cell lines from patients with schizophrenia Project summary The primary objective of this project is to identify genes, and related pathways, which are involved in the etiology of schizophrenia, using transcriptome sequencing (RNA-Seq). We will recruit 145 patients with schizophrenia (SZ) and 145 controls (no psychiatric disorders) matched ancestrally and by ethnicity, sex and age, collect nasal biopsy samples, establish neuronal progenitor cell lines and purify RNA from these cells. The cells are grown in environmentally controlled conditions, resulting in greatly reduced variation in expression profile, allowing smaller number of samples, and providing more reliable detection of differently expressed genes, as compared to post-mortem brain or blood samples. We will analyze data in order to identify genes which are different in expression level, frequency of particular splicing variants and allele frequencies of SNPs / mutations. We will validate differential expression of 96 genes/isoforms using BioMark Real Time PCR System (Fluidigm) on 96.96 Dynamic Array Chips. We expect detection of up to several hundred differently expressed genes, or those with different frequency of splicing variants or missense, nonsense or otherwise important alleles. We will analyze these data jointly with genotyping data for 1 million SNP, available for the same persons from the NIH-funded GPC study, in order to find a relationship between genes with mutations or altered expression in schizophrenia with those associated with the disease. We will analyze these data using IPA pathway analysis to identify pathways, or networks of genes which are differentially expressed between schizophrenia and control groups and hence are likely to contribute to the development of schizophrenia. It will allow identification of new drug targets in order to normalize expression of affected pathways or networks. In the future, neuronal cell lines from patients can be used for translational research for development of diagnostic tools and personalized medicine.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH086874-02
Application #
8300095
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Meinecke, Douglas L
Project Start
2011-07-12
Project End
2016-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
2
Fiscal Year
2012
Total Cost
$710,205
Indirect Cost
$268,879
Name
University of Southern California
Department
Psychiatry
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Rhie, Suhn K; Schreiner, Shannon; Witt, Heather et al. (2018) Using 3D epigenomic maps of primary olfactory neuronal cells from living individuals to understand gene regulation. Sci Adv 4:eaav8550
Igolkina, Anna A; Armoskus, Chris; Newman, Jeremy R B et al. (2018) Analysis of Gene Expression Variance in Schizophrenia Using Structural Equation Modeling. Front Mol Neurosci 11:192
Chen, Emily A; Souaiaia, Tade; Herstein, Jennifer S et al. (2014) Effect of RNA integrity on uniquely mapped reads in RNA-Seq. BMC Res Notes 7:753
Wrobel, Bozena B; Mazza, Jill M; Evgrafov, Oleg V et al. (2013) Assessing the efficacy of endoscopic office olfactory biopsy sites to produce neural progenitor cell cultures for the study of neuropsychiatric disorders. Int Forum Allergy Rhinol 3:133-8