Arraying the orchestration of allograft pathology

被引:41
作者
Mansfield, ES [1 ]
Sarwal, MM [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Pediat, Stanford, CA 94305 USA
关键词
biomarker development; cDNA array; DNA chips; microarrays; mRNA profiling;
D O I
10.1111/j.1600-6143.2004.00458.x
中图分类号
R61 [外科手术学];
学科分类号
摘要
Microarrays, or gene chips, are exciting investigative tools for analyzing expression changes across thousands of genes in concert in tissues and cells of interest. Despite the relatively recent application of microarrays to transplant research, they hold great promise for unraveling the staging of rejection, stratifying patients towards more individualized treatment regimes, and discovering noninvasive biomarkers for monitoring of intragraft events. Bioinformatics tools are being developed to sift through the large data sets generated as 'genomic fingerprints' of the underlying biologic pathways. Gene clustering and class prediction tools allow discovery of diagnostic and prognostic molecular signatures of health and disease. Oligonucleotide-based microarrays also have utility in genotyping polymorphic markers. This report reviews the current literature of microarray use in transplantation research, compares currently available array platforms, and discusses future application of this technology to clinical organ transplantation.
引用
收藏
页码:853 / 862
页数:10
相关论文
共 25 条
[1]   Gene expression analysis in human renal allograft biopsy samples using high-density oligoarray technology [J].
Akalin, E ;
Hendrix, RC ;
Polavarapu, RG ;
Pearson, TC ;
Neylan, JF ;
Larsen, CP ;
Lakkis, FG .
TRANSPLANTATION, 2001, 72 (05) :948-953
[2]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[3]   Gene expression data analysis [J].
Brazma, A ;
Vilo, J .
FEBS LETTERS, 2000, 480 (01) :17-24
[4]   Exploring the new world of the genome with DNA microarrays [J].
Brown, PO ;
Botstein, D .
NATURE GENETICS, 1999, 21 (Suppl 1) :33-37
[5]   A DIFFERENTIAL MOLECULAR-BIOLOGY SEARCH FOR GENES PREFERENTIALLY EXPRESSED IN FUNCTIONAL LYMPHOCYTES-T - THE CTLA GENES [J].
BRUNET, JF ;
DENIZOT, F ;
GOLSTEIN, P .
IMMUNOLOGICAL REVIEWS, 1988, 103 :21-36
[6]   The graft response to transplantation: a gene expression profile analysis [J].
Christopher, K ;
Mueller, TF ;
DeFina, R ;
Liang, YR ;
Zhang, JH ;
Gentleman, R ;
Perkins, DL .
PHYSIOLOGICAL GENOMICS, 2003, 15 (01) :52-64
[7]   Molecular profiling of anemia in acute renal allograft rejection using DNA microarrays [J].
Chua, MS ;
Barry, C ;
Chen, X ;
Salvatierra, O ;
Sarwal, MM .
AMERICAN JOURNAL OF TRANSPLANTATION, 2003, 3 (01) :17-22
[8]   Sequence variation and disease in the wake of the draft human genome [J].
Goodstadt, L ;
Ponting, CR .
HUMAN MOLECULAR GENETICS, 2001, 10 (20) :2209-2214
[9]  
Halloran PF, 2000, TRANSPLANTATION, V70, P3
[10]   The Longhorn Array Database (LAD): An open-source, MIAME compliant implementation of the Stanford Microarray database (SMD) [J].
Killion, PJ ;
Sherlock, G ;
Iyer, VR .
BMC BIOINFORMATICS, 2003, 4 (1)