Abstract

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. A method of predicting unknown gene function has been developed and tested on a limited set of genes. The method entails a global analysis of microarray datasets, across all platforms and for all genes. Approximately 38% of human genes have no known function, yet approximately 800 of these genes have enough co-expression data and clear patterns of co-expression with one or more known partners to predict function. Many of these unknown genes are """"""""hub"""""""" genes, or genes that respond with many others and a strong bias towards immune-related functions was discovered. We have narrowed this list to the 40 with the most data to support functional predictions. We propose to test each of these genes for their putative involvement in both the cell cycle and the immune system using siRNA knockdowns and in vitro assays.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR020143-08
Application #
8359793
Study Section
Special Emphasis Panel (ZRR1-RI-B (01))
Project Start
2011-05-01
Project End
2012-04-30
Budget Start
2011-05-01
Budget End
2012-04-30
Support Year
8
Fiscal Year
2011
Total Cost
$287,010
Indirect Cost

  Institution

Name
Oklahoma Medical Research Foundation
Department
Type
DUNS #
077333797
City
Oklahoma City
State
OK
Country
United States
Zip Code
73104

  Publications

Liu, Ke; Kurien, Biji T; Zimmerman, Sarah L et al. (2016) X Chromosome Dose and Sex Bias in Autoimmune Diseases: Increased Prevalence of 47,XXX in Systemic Lupus Erythematosus and Sjögren's Syndrome. Arthritis Rheumatol 68:1290-1300
Deng, Yun; Zhao, Jian; Sakurai, Daisuke et al. (2016) Decreased SMG7 expression associates with lupus-risk variants and elevated antinuclear antibody production. Ann Rheum Dis 75:2007-2013
Zhao, Jian; Giles, Brendan M; Taylor, Rhonda L et al. (2016) Preferential association of a functional variant in complement receptor 2 with antibodies to double-stranded DNA. Ann Rheum Dis 75:242-52
Kariuki, S N; Ghodke-Puranik, Y; Dorschner, J M et al. (2015) Genetic analysis of the pathogenic molecular sub-phenotype interferon-alpha identifies multiple novel loci involved in systemic lupus erythematosus. Genes Immun 16:15-23
Lu, Xiaoming; Zoller, Erin E; Weirauch, Matthew T et al. (2015) Lupus Risk Variant Increases pSTAT1 Binding and Decreases ETS1 Expression. Am J Hum Genet 96:731-9
Kottyan, Leah C; Zoller, Erin E; Bene, Jessica et al. (2015) The IRF5-TNPO3 association with systemic lupus erythematosus has two components that other autoimmune disorders variably share. Hum Mol Genet 24:582-96
Zhao, Jian; Wu, Hui; Langefeld, Carl D et al. (2015) Genetic associations of leptin-related polymorphisms with systemic lupus erythematosus. Clin Immunol 161:157-62
Dozmorov, Mikhail G; Dominguez, Nicolas; Bean, Krista et al. (2015) B-Cell and Monocyte Contribution to Systemic Lupus Erythematosus Identified by Cell-Type-Specific Differential Expression Analysis in RNA-Seq Data. Bioinform Biol Insights 9:11-9
Armstrong, D L; Zidovetzki, R; Alarcón-Riquelme, M E et al. (2014) GWAS identifies novel SLE susceptibility genes and explains the association of the HLA region. Genes Immun 15:347-54
Morris, D L; Fernando, M M A; Taylor, K E et al. (2014) MHC associations with clinical and autoantibody manifestations in European SLE. Genes Immun 15:210-7

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