This project is dedicated to the development and characterization of mouse model systems that best reflect the myelin and oligodendrocyte related (OMR) gene expression deficits in persons with schizophrenia. Several different genetically modified mouse model systems will be evaluated (e.g., Quaking, MAG, PTPRZ1, and Olig2. Each of these mouse model systems will be screened for deficits in the expression of OMR genes using a panel of OMR genes that we have shown to be differentially affected in schizophrenia. Those that evidence gene expression deficits on at least 3 OMR genes known to be affected in schizophrenia will then be assessed for behavioral deficits. The behavioral phenotyping test battery will include screening tests of simple (e.g., reflexes, locomotion, balance, sensation) as well as complex (learning, memory, startle, prepulse inhibition of startle, social interaction, anxiety) behaviors. Coupled with these purely behavioral tests will be pharmacological probes to ascertain whether pharmacological profiles commonly viewed as prototypical for rodent models of schizophrenia are also evidenced by the OMR gene deficient mice. Once """"""""best-fit"""""""" model systems have been identified, they will be studied longitudinally to ascertain the evolution of gene expression and behavioral deficits from 3 months of age through to 18 months of age. In addition, laser capture microdissection techniques will be employed to investigate gene expression in identified cell groups. In collaboration with Project 1, the """"""""best-fit"""""""" mouse model system will be systematically imaged by DTI in vivo at ages corresponding to those for behavioral testing. In collaboration with Project 3, brain tissue specimens from additional mice will be studied for changes in oligodendroglial proliferation, differentiation and survival. Significant progress has already been made in this regard. All of the behavioral test paradigms have been piloted and parameters have been optimized for use in mice in our phenotyping facility (results and descriptions appended). Three of the 4 animal model systems proposed for use (Quaking, Olig2, and MAG) have been obtained. Some studies have already been completed in these mice and colonies have been established to enable more large scale studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
3P50MH066392-09S1
Application #
8479524
Study Section
Special Emphasis Panel (ZMH1-ERB-S)
Project Start
Project End
Budget Start
2011-06-01
Budget End
2013-05-31
Support Year
9
Fiscal Year
2012
Total Cost
$74,421
Indirect Cost
$30,515
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya et al. (2018) Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362:
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180
Wang, Daifeng; Liu, Shuang; Warrell, Jonathan et al. (2018) Comprehensive functional genomic resource and integrative model for the human brain. Science 362:
Mitchell, A C; Javidfar, B; Pothula, V et al. (2018) MEF2C transcription factor is associated with the genetic and epigenetic risk architecture of schizophrenia and improves cognition in mice. Mol Psychiatry 23:123-132
Bryois, Julien; Garrett, Melanie E; Song, Lingyun et al. (2018) Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia. Nat Commun 9:3121
Fazio, Leonardo; Pergola, Giulio; Papalino, Marco et al. (2018) Transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory. Proc Natl Acad Sci U S A 115:5582-5587
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548
Mitelman, Serge A; Bralet, Marie-Cecile; Mehmet Haznedar, M et al. (2018) Positron emission tomography assessment of cerebral glucose metabolic rates in autism spectrum disorder and schizophrenia. Brain Imaging Behav 12:532-546

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