An experimental evaluation of a loop versus a reference design for two-channel microarrays

被引:70
作者
Vinciotti, V [1 ]
Khanin, R
D'Alimonte, D
Liu, X
Cattini, N
Hotchkiss, G
Bucca, G
de Jesus, O
Rasaiyaah, J
Smith, CP
Kellam, P
Wit, E
机构
[1] Brunel Univ, Dept Informat Syst & Comp, Uxbridge UB8 3PH, Middx, England
[2] Univ Glasgow, Dept Stat, Glasgow G11 8QW, Lanark, Scotland
[3] Aston Univ, Dept Comp Sci & Appl Math, Birmingham B4 7ET, W Midlands, England
[4] Univ Surrey, Sch Biomed & Mol Sci, Guildford GU2 7XH, Surrey, England
[5] UCL, Dept Infect, Virus Genom & Bioinformat Grp, London W1T 4JF, England
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1093/bioinformatics/bti022
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Despite theoretical arguments that so-called 'loop designs' for two-channel DNA microarray experiments are more efficient, biologists continue to use 'reference designs'. We describe two sets of microarray experiments with RNA from two different biological systems (TPA-stimulated mammalian cells and Streptomyces coelicolor). In each case, both a loop and a reference design were used with the same RNA preparations with the aim of studying their relative efficiency. Results: The results of these experiments show that (1) the loop design attains a much higher precision than the reference design, (2) multiplicative spot effects are a large source of variability, and if they are not accounted for in the mathematical model, for example, by taking log-ratios or including spot effects, then the model will perform poorly. The first result is reinforced by a simulation study. Practical recommendations are given on how simple loop designs can be extended to more realistic experimental designs and how standard statistical methods allow the experimentalist to use and interpret the results from loop designs in practice.
引用
收藏
页码:492 / 501
页数:10
相关论文
共 15 条
[1]   Gene expression signature of fibroblast serum response predicts human cancer progression: Similarities between tumors and wounds [J].
Chang, HY ;
Sneddon, JB ;
Alizadeh, AA ;
Sood, R ;
West, RB ;
Montgomery, K ;
Chi, JT ;
van de Rijn, M ;
Botstein, D ;
Brown, PO .
PLOS BIOLOGY, 2004, 2 (02) :206-214
[2]   Fundamentals of experimental design for cDNA microarrays [J].
Churchill, GA .
NATURE GENETICS, 2002, 32 (Suppl 4) :490-495
[3]   Factorial and time course designs for cDNA microarray experiments [J].
Glonek, GFV ;
Solomon, PJ .
BIOSTATISTICS, 2004, 5 (01) :89-111
[4]  
Kerr MK, 2001, GENET RES, V77, P123
[5]   Analysis of variance for gene expression microarray data [J].
Kerr, MK ;
Martin, M ;
Churchill, GA .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2000, 7 (06) :819-837
[6]  
KHANIN R, 2004, 046 U GLASG DEP STAT
[7]  
LANDGREBE J, 2004, IN PRESS COMPUTATION
[8]   Gene expression profiling identifies clinically relevant subtypes of prostate cancer [J].
Lapointe, J ;
Li, C ;
Higgins, JP ;
van de Rijn, M ;
Bair, E ;
Montgomery, K ;
Ferrari, M ;
Egevad, L ;
Rayford, W ;
Bergerheim, U ;
Ekman, P ;
DeMarzo, AM ;
Tibshirani, R ;
Botstein, D ;
Brown, PO ;
Brooks, JD ;
Pollack, JR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (03) :811-816
[9]   Role of interleukin 6 in myocardial dysfunction of meningococcal septic shock [J].
Pathan, N ;
Hemingway, CA ;
Alizadeh, AA ;
Stephens, AC ;
Boldrick, JC ;
Oragui, EE ;
McCabe, C ;
Welch, SB ;
Whitney, A ;
O'Gara, P ;
Nadel, S ;
Relman, DA ;
Harding, SE ;
Levin, M .
LANCET, 2004, 363 (9404) :203-209
[10]   A NONLINEAR MAPPING FOR DATA STRUCTURE ANALYSIS [J].
SAMMON, JW .
IEEE TRANSACTIONS ON COMPUTERS, 1969, C 18 (05) :401-&