Abstract

The purpose of the Administrative Core is to coordinate and intergrate all activities of the CCNMD. In orderto provide the necessary cooperation and coordination to maximize the productivity of the center, theAdministrative Core provides a forum for formal, structured interactions between CCNMD investigators,between participating scientific and clinical institutions, and between administrative elements of the center.A.
SPECIFIC AIMS :1. To continually monitor and evaluate the CCNMD's progress in reaching its scientific goals, and toenhance collaboration among its cores and projects.2. To provide leadership and coordination in the administration of fiscal, regulatory, IRB, IACUC andpersonnel issues critical to the interactions between CCNMD cores, CCNMD sites, and CCNMD projectinvestigators.3. To provide leadership to CCNMD investigators, cores, and data collection sites regarding access to,and distribution of all data, and distribution of tissue.4. To provide academic guidance to CCNMD trainees and young investigator utilizing the CCNMD.5. To provide outreach to both the scientific community as well as the public in order to increaseawareness of our reseach efforts and the implications of our findings in the field of schizophreniaresearch.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH066392-06
Application #
7708503
Study Section
Special Emphasis Panel (ZMH1-ERB-S (03))
Project Start
2008-07-16
Project End
2012-05-31
Budget Start
2008-07-16
Budget End
2009-05-31
Support Year
6
Fiscal Year
2008
Total Cost
$196,334
Indirect Cost

  Institution

Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029

  Publications

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

Showing the most recent 10 out of 153 publications