Literature DB >> 11477360

A comparison of gene expression in murine cardiac allografts and isografts by means DNA microarray analysis.

A Saiura1, C Mataki, T Murakami, M Umetani, Y Wada, T Kohro, H Aburatani, Y Harihara, T Hamakubo, T Yamaguchi, G Hasegawa, M Naito, M Makuuchi, T Kodama.   

Abstract

BACKGROUND: Acute rejection of allografts remains a significant problem in clinical transplantation, and the fundamental mechanism underlying this rejection are as yet only poorly elucidated. Recently, DNA microarrays have come into use for the study of gene expression profiles, and we have taken advantage of this new technology to investigate acute rejection. We compared mRNA profiles in murine cardiac allografts with isografts using DNA microarrays with probe sets corresponding to more than 11,000 mice genes.
METHODS: We screened for gene expression changes in murine cardiac allografts between fully incompatible mice strains (BALB/c H2d to C3H/He H2k) using a DNA microarray. The heart was heterotopically transplanted. Allografts (BALB/c to C3H/He) were removed on days 1, 3, and 5. As a control, isografts (C3H/He to C3H/He) harvested on days 1, 3, and 5 and native hearts of both strain mice (C3H/He and BALB/c) were obtained.
RESULTS: On day 5, interferon-gamma (IFN-gamma) and many IFN-gamma-inducible genes were profoundly induced in the allograft relative to isograft. Monokine induced by IFN-gamma was most profoundly induced followed by inducibly expressed GTPase and Lmp-2. IFN-gamma was also profoundly induced. The induction was detectable from day 3. In contrast, genes regulated by other cytokines exhibited only modest changes.
CONCLUSION: IFN-gamma-inducible genes are specifically up-regulated in murine cardiac allografts, suggesting that signaling mediated by IFN-gamma may play an important role in the late phase of acute rejection in vivo.

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Year:  2001        PMID: 11477360     DOI: 10.1097/00007890-200107270-00027

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  8 in total

Review 1.  Novel insights into lung transplant rejection by microarray analysis.

Authors:  Jeffrey D Lande; Jagadish Patil; Na Li; Todd R Berryman; Richard A King; Marshall I Hertz
Journal:  Proc Am Thorac Soc       Date:  2007-01

2.  Th17 promotes acute rejection following liver transplantation in rats.

Authors:  Xiao-jun Xie; Yu-fu Ye; Lin Zhou; Hai-yang Xie; Guo-ping Jiang; Xiao-wen Feng; Yong He; Qin-fen Xie; Shu-sen Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2010-11       Impact factor: 3.066

3.  Gene expression profiling on acute rejected transplant kidneys with microarray.

Authors:  Deping Li; Kang Wang; Yong Dai; Tianyu Lv
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2008-05-15

4.  CCR5 blockade in combination with rapamycin prolongs cardiac allograft survival in mice.

Authors:  J Li; K Zhang; P Ye; S Wang; J Xia
Journal:  Clin Exp Immunol       Date:  2009-09       Impact factor: 4.330

Review 5.  Novel therapy for myocardial infarction: can HGF/Met be beneficial?

Authors:  V Sala; T Crepaldi
Journal:  Cell Mol Life Sci       Date:  2011-02-17       Impact factor: 9.261

Review 6.  Microarray analysis: a novel research tool for cardiovascular scientists and physicians.

Authors:  C Napoli; L O Lerman; V Sica; A Lerman; G Tajana; F de Nigris
Journal:  Heart       Date:  2003-06       Impact factor: 5.994

7.  Activation of counter-regulatory mechanisms in a rat renal acute rejection model.

Authors:  Bayram Edemir; Sunil M Kurian; Martin Eisenacher; Detlef Lang; Carsten Müller-Tidow; Gert Gabriëls; Daniel R Salomon; Eberhard Schlatter
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

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

Authors:  Katherine J Deans; Peter C Minneci; Hao Chen; Steven J Kern; Carolea Logun; Sara Alsaaty; Kelly J Norsworthy; Stephanie M Theel; Joel D Sennesh; Jennifer J Barb; Peter J Munson; Robert L Danner; Michael A Solomon
Journal:  BMC Genomics       Date:  2009-06-24       Impact factor: 3.969

  8 in total

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