Abstract

The major objective of this core is to provide wet-lab technological support and expertise to the investigators in the Center. We anticipate that results from network reverse engineering modeling in Core 1 will make predictions about not only the role of individual genes but also the state of particular suites of genes and of networks. To identify the relationship between multiple phenotypes, stimuli, and genotypes, high-throughput biochemical, proteomic, and genetic screening is essential. Simultaneous molecular profiling of large numbers of gene products to assess genetic status, expression level or protein modification state can rapidly provide an overview of the state of a cellular system.

Public Health Relevance

This core will provide an experimental infrastructure for functional validation of computational predictions about associations between the detected genetic variation in patient DNA and onset of complex neuropsychiatric disorders.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
3P50MH094267-04S1
Application #
8936052
Study Section
Special Emphasis Panel (ZMH1 (02))
Program Officer
Addington, Anjene M
Project Start
2011-09-22
Project End
2016-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$1
Indirect Cost

  Institution

Name
University of Chicago
Department
Type
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637

  Publications

Khramtsova, Ekaterina A; Heldman, Raphael; Derks, Eske M et al. (2018) Sex differences in the genetic architecture of obsessive-compulsive disorder. Am J Med Genet B Neuropsychiatr Genet :
Mork, Ryan L; Hogan, Patrick G; Muenks, Carol E et al. (2018) Comprehensive modeling reveals proximity, seasonality, and hygiene practices as key determinants of MRSA colonization in exposed households. Pediatr Res 84:668-676
Chattopadhyay, Ishanu; Kiciman, Emre; Elliott, Joshua W et al. (2018) Conjunction of factors triggering waves of seasonal influenza. Elife 7:
Hogan, Patrick G; Mork, Ryan L; Boyle, Mary G et al. (2018) Interplay of personal, pet, and environmental colonization in households affected by community-associated methicillin-resistant Staphylococcus aureus. J Infect :
Gray, Christine L; Lobdell, Danelle T; Rappazzo, Kristen M et al. (2018) Associations between environmental quality and adult asthma prevalence in medical claims data. Environ Res 166:529-536
Sala, Ambre J; Bott, Laura C; Morimoto, Richard I (2017) Shaping proteostasis at the cellular, tissue, and organismal level. J Cell Biol 216:1231-1241
Tylee, Daniel S; Hess, Jonathan L; Quinn, Thomas P et al. (2017) Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis. Am J Med Genet B Neuropsychiatr Genet 174:181-201
Wheeler, Heather E; Gamazon, Eric R; Frisina, Robert D et al. (2017) Variants in WFS1 and Other Mendelian Deafness Genes Are Associated with Cisplatin-Associated Ototoxicity. Clin Cancer Res 23:3325-3333
Kirstein, Janine; Arnsburg, Kristin; Scior, Annika et al. (2017) In vivo properties of the disaggregase function of J-proteins and Hsc70 in Caenorhabditis elegans stress and aging. Aging Cell 16:1414-1424
Stark, Amy L; Madian, Ashraf G; Williams, Sawyer W et al. (2017) Identification of Novel Protein Expression Changes Following Cisplatin Treatment and Application to Combination Therapy. J Proteome Res 16:4227-4236

Showing the most recent 10 out of 83 publications