Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Research article

Impact of animal strain on gene expression in a rat model of acute cardiac rejection

Katherine J Deans146, Peter C Minneci145, Hao Chen1, Steven J Kern1, Carolea Logun1, Sara Alsaaty1, Kelly J Norsworthy1, Stephanie M Theel1, Joel D Sennesh3, Jennifer J Barb2, Peter J Munson2, Robert L Danner1 and Michael A Solomon16*

Author Affiliations

1 Critical Care Medicine Department, Clinical Center, NIH, Bethesda, MD, USA

2 Mathematical and Statistical Computing Laboratory, Division of Computational Bioscience, Center for Information Technology, NIH, Bethesda, MD, USA

3 Department of Pathology, Inova Fairfax Hospital, Fairfax, VA, USA

4 Department of Surgery, The Children's Institute for Surgical Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

5 Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA

6 Cardiovascular Branch, NHLBI, NIH, Bethesda, MD, USA

For all author emails, please log on.

BMC Genomics 2009, 10:280  doi:10.1186/1471-2164-10-280

Published: 24 June 2009

Abstract

Background

The expression levels of many genes show wide natural variation among strains or populations. This study investigated the potential for animal strain-related genotypic differences to confound gene expression profiles in acute cellular rejection (ACR). Using a rat heart transplant model and 2 different rat strains (Dark Agouti, and Brown Norway), microarrays were performed on native hearts, transplanted hearts, and peripheral blood mononuclear cells (PBMC).

Results

In heart tissue, strain alone affected the expression of only 33 probesets while rejection affected the expression of 1368 probesets (FDR 10% and FC ≥ 3). Only 13 genes were affected by both strain and rejection, which was < 1% (13/1368) of all probesets differentially expressed in ACR. However, for PBMC, strain alone affected 265 probesets (FDR 10% and FC ≥ 3) and the addition of ACR had little further effect. Pathway analysis of these differentially expressed strain effect genes connected them with immune response, cell motility and cell death, functional themes that overlap with those related to ACR. After accounting for animal strain, additional analysis identified 30 PBMC candidate genes potentially associated with ACR.

Conclusion

In ACR, genetic background has a large impact on the transcriptome of immune cells, but not heart tissue. Gene expression studies of ACR should avoid study designs that require cross strain comparisons between leukocytes.