The theme of this Program Project is to test the application of developing technologies for gene expression profiling (Project 1), proteomics (Project 2) and complex trait genetics (Project 3) to advance our understanding of kidney transplantation in the context of both its clinical problems and the basic biology of transplantation. Our view is that this is a systems biology approach to kidney transplantation. These efforts are supported by a group of collaborators with expertise in all three scientific areas as well as expertise in clinical kidney transplantation and bioinformatics and statistics. The kind of data we will generate will be of two kinds: diagnostic and discovery. The diagnostic component will consist of potentially complex gene and protein expression signatures that will have statistically valid correlations to specific clinical events like acute rejection, chronic allograft nephropathy and long term well-functioning transplants with no rejection. The discovery component will consist of identifying within these complex genomic signatures, specific gene candidates that correlate with transplant events and outcomes. Our hypotheses are: 1) that gene and protein expression signatures can be identified in PBL and kidney transplant biopsies that correlate with biopsy-proven acute rejection and chronic allograft nephropathy, 2) that gene and protein expression profiles provide insights into the molecular pathways involved in both the host immune response and the donor organ's response to transplantation, and 3) that the adequacy of immunosuppression, as defined by the absence of rejection-related gene and protein expression, can be determined by the gene and protein expression profiles. We also propose to examine the possibility that race and sex will influence at least a subset of gene transcripts and proteins expressed post transplant and correlate with outcomes. The first objective of this application will be to integrate data on gene expression profiling in parallel with data generated by proteomics (Project 2) and complex trait genetics (Project 3) to advance a more comprehensive understanding of the molecular basis of clinical kidney transplantation. The second is to establish the requisite proof of principle to design a prospective clinical trial to test the hypothesis that PBL profiles can be used to monitor the efficacy of immunosuppression in 'real-time'.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
3U19AI063603-05S1
Application #
7918722
Study Section
Special Emphasis Panel (ZAI1-EWS-I (S3))
Program Officer
Nabavi, Nasrin N
Project Start
2009-09-12
Project End
2011-08-31
Budget Start
2009-09-12
Budget End
2011-08-31
Support Year
5
Fiscal Year
2009
Total Cost
$744,332
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
Gioia, Louis; Siddique, Azeem; Head, Steven R et al. (2018) A genome-wide survey of mutations in the Jurkat cell line. BMC Genomics 19:334
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
Modena, B D; Milam, R; Harrison, F et al. (2017) Changes in Urinary Microbiome Populations Correlate in Kidney Transplants With Interstitial Fibrosis and Tubular Atrophy Documented in Early Surveillance Biopsies. Am J Transplant 17:712-723
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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