Despite recent reductions in the incidence of acute rejection, chronic allograft nephropathy and immunosuppressive drug side effects are still major causes of graft loss and patient morbidity. In this context, it is essential to advance our understanding of the immune response and the responses of the transplanted organ to both immune and non-immune injury mechanisms. Analysis of gene expression is one means to identify molecular pathways involved in transplantation biology. The objective of Project 1 is to use high-density microarray technology to measure differential gene expression in kidney biopsies and peripheral blood of patients with well-defined phenotypes: acute rejection, chronic allograft nephropathy and patients biopsied by protocol at 12 to 24 months with well-functioning kidney transplants. Our preliminary data based on studies of almost 100 subjects demonstrates characteristic gene expression profiles in biopsies and peripheral blood lymphocytes that correlate with transplant immunosuppression as welt as with acute rejection. Using statistical analysis of individual gene expression signals followed by hierarchical clustering and class prediction analysis we can demonstrate significant differences in the gene profiles of biopsies and PBL that define these clinical groups. Our first Specific Aim is to determine the gene expression profiles in transplant biopsies and PBL of patients in 3 well-established clinical classes. Successful completion of this Aim will create a comprehensive, statistically robust data set for gene expression profiles of both transplant biopsies and PBL including many presently unknown genes that can be correlated with clinical events following kidney transplantation. Our second Specific Aim is to establish the patterns for individual gene expression correlated with clinical events and outcomes. Successful completion of this Aim will define candidate gene sets that can be integrated with the parallel studies ofproteomics and complex trait genetics . We will use in silica tools to identify gene functions and connections that reveal novel pathways in transplant biology particularly the response of the donor kidney to transplantation in the context of tissue injury, repair and chronic allograft nephropathy.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI063603-03
Application #
7280807
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
3
Fiscal Year
2006
Total Cost
$468,375
Indirect Cost
Name
Scripps Research Institute
Department
Type
DUNS #
781613492
City
La Jolla
State
CA
Country
United States
Zip Code
92037
Meng, Xiangzhi; Riley, Nicole; Thompson, Ryan et al. (2018) Investigate Global Chromosomal Interaction by Hi-C in Human Naive CD4 T Cells. Methods Mol Biol 1712:239-252
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Kurian, S M; Velazquez, E; Thompson, R et al. (2017) Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform. Am J Transplant 17:2103-2116
Buzby, Jeffrey S; Williams, Shirley A; Schaffer, Lana et al. (2017) Allele-specific wild-type TP53 expression in the unaffected carrier parent of children with Li-Fraumeni syndrome. Cancer Genet 211:9-17
Modena, Brian D; Bleecker, Eugene R; Busse, William W et al. (2017) Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease. Am J Respir Crit Care Med 195:1449-1463
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LaMere, Sarah A; Thompson, Ryan C; Meng, Xiangzhi et al. (2017) H3K27 Methylation Dynamics during CD4 T Cell Activation: Regulation of JAK/STAT and IL12RB2 Expression by JMJD3. J Immunol 199:3158-3175
LaMere, S A; Thompson, R C; Komori, H K et al. (2016) Promoter H3K4 methylation dynamically reinforces activation-induced pathways in human CD4 T cells. Genes Immun 17:283-97
Leventhal, J R; Mathew, J M; Salomon, D R et al. (2016) Nonchimeric HLA-Identical Renal Transplant Tolerance: Regulatory Immunophenotypic/Genomic Biomarkers. Am J Transplant 16:221-34
Modena, B D; Kurian, S M; Gaber, L W et al. (2016) Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes. Am J Transplant 16:1982-98

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