A quality-controlled microarray method for gene expression profiling

被引:10
作者
Degenkolbe, T
Hannah, MA
Freund, S
Hincha, DK [1 ]
Heyer, AG
Köhl, KI
机构
[1] Max Planck Inst Mol Pflanzenphysiol, D-14424 Potsdam, Germany
[2] Univ Stuttgart, Inst Biol, Abt Bot, D-70550 Stuttgart, Germany
关键词
cDNA microarray; transcript profiling; cDNA synthesis and labelling; reduced technical variability; statistical analysis ofexpression profiling data;
D O I
10.1016/j.ab.2005.08.027
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Gene expression profiling on microarrays is widely used to measure the expression of large numbers of genes in a single experiment. Because of the high cost of this method, feasible numbers of replicates are limited, thus impairing the power of statistical analysis. As a step toward reducing technically induced variation, we developed a procedure of sample preparation and analysis that minimizes the number of sample manipulation steps, introduces quality control before array hybridization, and allows recovery of the prepared mRNA for independent validation of results. Sample preparation is based on mRNA separation using oligo(dT) magnetic beads, which are subsequently used for first-strand cDNA synthesis on the beads. cDNA covalently bound to the magnetic beads is used as template for second-strand cDNA synthesis, leaving the intact mRNA in solution for further analysis. The quality of the synthesized cDNA can be assessed by quantitative polymerase chain reaction using 3'- and 5'-specific primer pairs for housekeeping genes such as glyceraldehyde-3-phosphate dehydrogenase. Second-strand cDNA is chemically labeled with fluorescent dyes to avoid dye bias in enzymatic labeling reactions. After hybridization of two differently labeled samples to microarray slides, arrays are scanned and images analyzed automatically with high reproducibility. Quantile-normalized data from five biological replica display a coefficient of variation <= 45% for 90% of profiled genes, allowing detection of twofold changes with false positive and false negative rates of 10% each. We demonstrate successful application of the procedure for expression profiling in plant leaf tissue. However, the method could be easily adapted for samples from animal including human or from microbial origin. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:217 / 224
页数:8
相关论文
共 21 条
  • [1] ESTs, cDNA microarrays, and gene expression profiling: tools for dissecting plant physiology and development
    Alba, R
    Fei, ZJ
    Payton, P
    Liu, Y
    Moore, SL
    Debbie, P
    Cohn, J
    D'Ascenzo, M
    Gordon, JS
    Rose, JKC
    Martin, G
    Tanksley, SD
    Bouzayen, M
    Jahn, MM
    Giovannoni, J
    [J]. PLANT JOURNAL, 2004, 39 (05) : 697 - 714
  • [2] [Anonymous], 1971, Statistical Principles in Experimental Design
  • [3] Chipping away at the chip bias: RNA degradation in microarray analysis
    Auer, H
    Lyianarachchi, S
    Newsom, D
    Klisovic, MI
    Marcucci, U
    Kornacker, K
    [J]. NATURE GENETICS, 2003, 35 (04) : 292 - 293
  • [4] A comparison of gel-based, nylon filter and microarray techniques to detect differential RNA expression in plants
    Baldwin, D
    Crane, V
    Rice, D
    [J]. CURRENT OPINION IN PLANT BIOLOGY, 1999, 2 (02) : 96 - 103
  • [5] Quantitative comparison of long-wavelength Alexa Fluor dyes to Cy dyes: Fluorescence of the dyes and their bioconjugates
    Berlier, JE
    Rothe, A
    Buller, G
    Bradford, J
    Gray, DR
    Filanoski, BJ
    Telford, WG
    Yue, S
    Liu, JX
    Cheung, CY
    Chang, W
    Hirsch, JD
    Beechem, JM
    Haugland, RP
    Haugland, RP
    [J]. JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY, 2003, 51 (12) : 1699 - 1712
  • [6] A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    Bolstad, BM
    Irizarry, RA
    Åstrand, M
    Speed, TP
    [J]. BIOINFORMATICS, 2003, 19 (02) : 185 - 193
  • [7] Exploring the new world of the genome with DNA microarrays
    Brown, PO
    Botstein, D
    [J]. NATURE GENETICS, 1999, 21 (Suppl 1) : 33 - 37
  • [8] The transcriptional response of Arabidopsis to genotoxic stress -: a high-density colony array study (HDCA)
    Chen, IP
    Haehnel, U
    Altschmied, L
    Schubert, I
    Puchta, H
    [J]. PLANT JOURNAL, 2003, 35 (06) : 771 - 786
  • [9] Analysis of variance components in gene expression data
    Chen, JJ
    Delongchamp, RR
    Tsai, CA
    Hsueh, HM
    Sistare, F
    Thompson, KL
    Desai, VG
    Fuscoe, JC
    [J]. BIOINFORMATICS, 2004, 20 (09) : 1436 - 1446
  • [10] Fundamentals of experimental design for cDNA microarrays
    Churchill, GA
    [J]. NATURE GENETICS, 2002, 32 (Suppl 4) : 490 - 495