Systematic comparison of the fidelity of aRNA, mRNA and T-RNA on gene expression profiling using cDNA microarray

被引:38
作者
Li, Y
Li, T
Liu, SZ
Qiu, MY
Han, ZY
Jiang, ZL
Li, RY
Ying, K
Xie, Y
Mao, YM [1 ]
机构
[1] Fudan Univ, Sch Life Sci, Inst Genet, State Key Lab Genet Engn, Shanghai 200433, Peoples R China
[2] Shanghai BioStar Genechip Inst, Shanghai 200092, Peoples R China
[3] United Gene Holdings Ltd, Shanghai 200092, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
microarray; RNA labeling methods; fidelity; comparison;
D O I
10.1016/j.jbiotec.2003.09.008
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In cDNA microarray technology, there are three main reverse transcription based RNA labeling methods, using total RNA (T-RNA), mRNA, and amplified antisense RNA (aRNA), respectively. However, despite the common use of the three types of RNAs, limited data are available regarding their differences and concordances. In this report, we compared the three methods through two sets of self-comparison experiments using the same RNA sample in all cases. Within each method, duplicate hybridizations are highly reproducible with low biases, which are randomly produced. When combining different RNAs within a single array, correlation coefficients between the two channels are rather low, while the discrepancies are persistent. Furthermore, the fidelity of aRNA and mRNA microarrays in the expression profile study shows no significant difference with standard T-RNA based labeling methods. These results suggest that some RNA abundance are selectively changed during aRNA amplification/mRNA purification processes, but it will not affect the gene expression ratio of the two samples if the same type RNA are used. Therefore all three types of RNAs can be used in expression profiling analysis as long as the test and reference samples are generated by identical method within single study. (C) 2003 Elsevier B.V All rights reserved.
引用
收藏
页码:19 / 28
页数:10
相关论文
共 25 条
[1]   Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling [J].
Alizadeh, AA ;
Eisen, MB ;
Davis, RE ;
Ma, C ;
Lossos, IS ;
Rosenwald, A ;
Boldrick, JG ;
Sabet, H ;
Tran, T ;
Yu, X ;
Powell, JI ;
Yang, LM ;
Marti, GE ;
Moore, T ;
Hudson, J ;
Lu, LS ;
Lewis, DB ;
Tibshirani, R ;
Sherlock, G ;
Chan, WC ;
Greiner, TC ;
Weisenburger, DD ;
Armitage, JO ;
Warnke, R ;
Levy, R ;
Wilson, W ;
Grever, MR ;
Byrd, JC ;
Botstein, D ;
Brown, PO ;
Staudt, LM .
NATURE, 2000, 403 (6769) :503-511
[2]   Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays [J].
Alon, U ;
Barkai, N ;
Notterman, DA ;
Gish, K ;
Ybarra, S ;
Mack, D ;
Levine, AJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (12) :6745-6750
[3]   Quantitative analysis of mRNA amplification by in vitro transcription [J].
Baugh, L. R. ;
Hill, A. A. ;
Brown, E. L. ;
Hunter, Craig P. .
NUCLEIC ACIDS RESEARCH, 2001, 29 (05)
[4]   Gene expression patterns in human liver cancers [J].
Chen, X ;
Cheung, ST ;
So, S ;
Fan, ST ;
Barry, C ;
Higgins, J ;
Lai, KM ;
Ji, JF ;
Dudoit, S ;
Ng, IOL ;
van de Rijn, M ;
Botstein, D ;
Brown, PO .
MOLECULAR BIOLOGY OF THE CELL, 2002, 13 (06) :1929-1939
[5]  
Crawley JJ, 2002, GENOME BIOL, V3
[6]   Delineation of prognostic biomarkers in prostate cancer [J].
Dhanasekaran, SM ;
Barrette, TR ;
Ghosh, D ;
Shah, R ;
Varambally, S ;
Kurachi, K ;
Pienta, KJ ;
Rubin, MA ;
Chinnaiyan, AM .
NATURE, 2001, 412 (6849) :822-826
[7]   ANALYSIS OF GENE-EXPRESSION IN SINGLE LIVE NEURONS [J].
EBERWINE, J ;
YEH, H ;
MIYASHIRO, K ;
CAO, YX ;
NAIR, S ;
FINNELL, R ;
ZETTEL, M ;
COLEMAN, P .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1992, 89 (07) :3010-3014
[8]   Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring [J].
Golub, TR ;
Slonim, DK ;
Tamayo, P ;
Huard, C ;
Gaasenbeek, M ;
Mesirov, JP ;
Coller, H ;
Loh, ML ;
Downing, JR ;
Caligiuri, MA ;
Bloomfield, CD ;
Lander, ES .
SCIENCE, 1999, 286 (5439) :531-537
[9]   Obtaining reliable information from minute amounts of RNA using cDNA microarrays [J].
Hu, LM ;
Wang, J ;
Baggerly, K ;
Wang, H ;
Fuller, GN ;
Hamilton, SR ;
Coombes, KR ;
Zhang, W .
BMC GENOMICS, 2002, 3 (1)
[10]   Representation is faithfully preserved in global cDNA amplified exponentially from sub-picogram quantities of mRNA [J].
Iscove, NN ;
Barbara, M ;
Gu, M ;
Gibson, M ;
Modi, C ;
Winegarden, N .
NATURE BIOTECHNOLOGY, 2002, 20 (09) :940-943