Microarray oligonucleotide probes

被引:41
作者
Kreil, David P. [1 ]
Russell, Roslin R.
Russell, Steven
机构
[1] Univ Nat Resources & Appl Life Sci, Dept Biotechnol, Vienna, Austria
[2] Univ Cambridge, Dept Genet, Cambridge CB2 1TN, England
来源
DNA MICROARRAYS PART A: ARRAY PLATFORMS AND WET-BENCH PROTOCOLS | 2006年 / 410卷
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会; 英国惠康基金;
关键词
D O I
10.1016/S0076-6879(06)10004-X
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Oligonucleotide probes are increasingly the method of choice for many modern DNA microarray applications. They provide higher target specificity, probe selection gives improved experimental control of hybridization properties, and targeting of specific gene subsequences allows better discrimination of highly similar targets such as splice variants or gene families. Only recently has there been substantial progress in dealing with the complexities of probe set design and probe-specific signal interpretation. After a discussion of advantages and disadvantages of oligonucleotide probes in comparison to amplicons, this chapter focuses on recent advances and remaining key challenges in probe design and computational data analysis for spotted and in situ-synthesized oligonucleotide microarray technologies. Both experimental questions and computational aspects are addressed. Experimental issues discussed include the choice of an optimal number of probes per target and probe lengths and their influence on bias and random measurement noise, effects of different probe or substrate modifications, and laboratory protocols on signal specificity and sensitivity. Computational topics include practical considerations and a case study in probe sequence design, the exploitation of probing multiple target regions, and the modeling of probe sequence-specific signals. The current state of the art of the field is examined, and principled thermodynamic probe design criteria are proposed that are based on the free energy of the probe-target complex at the hybridization temperature rather than its melting temperature. Finally, this chapter notes and discusses an emerging trend in recent computational work toward a focus on signal interpretation rather than probe sequence design.
引用
收藏
页码:73 / 98
页数:26
相关论文
共 69 条
[1]   Gapped BLAST and PSI-BLAST: a new generation of protein database search programs [J].
Altschul, SF ;
Madden, TL ;
Schaffer, AA ;
Zhang, JH ;
Zhang, Z ;
Miller, W ;
Lipman, DJ .
NUCLEIC ACIDS RESEARCH, 1997, 25 (17) :3389-3402
[2]  
[Anonymous], 2002, GENOMES
[3]  
ATKINS P, 2004, ATKINS PHYS CHEM
[4]   Robotic spotting of cDNA and oligonucleotide microarrays [J].
Auburn, RP ;
Kreil, DP ;
Meadows, LA ;
Fischer, B ;
Matilla, SS ;
Russell, S .
TRENDS IN BIOTECHNOLOGY, 2005, 23 (07) :374-379
[5]   Global identification of human transcribed sequences with genome tiling arrays [J].
Bertone, P ;
Stolc, V ;
Royce, TE ;
Rozowsky, JS ;
Urban, AE ;
Zhu, XW ;
Rinn, JL ;
Tongprasit, W ;
Samanta, M ;
Weissman, S ;
Gerstein, M ;
Snyder, M .
SCIENCE, 2004, 306 (5705) :2242-2246
[6]   A comparison of normalization methods for high density oligonucleotide array data based on variance and bias [J].
Bolstad, BM ;
Irizarry, RA ;
Åstrand, M ;
Speed, TP .
BIOINFORMATICS, 2003, 19 (02) :185-193
[7]   Thermodynamic basis of the enhanced specificity of structured DNA probes [J].
Bonnet, G ;
Tyagi, S ;
Libchaber, A ;
Kramer, FR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (11) :6171-6176
[8]   New types of very efficient photolabile protecting groups based upon the [2-(2-nitrophenyi)propoxy]carbonyl (NPPOC) moiety [J].
Bühler, S ;
Lagoja, I ;
Giegrich, H ;
Stengele, KP ;
Pfleiderer, W .
HELVETICA CHIMICA ACTA, 2004, 87 (03) :620-659
[9]   Optimization of oligonucleotide arrays and RNA amplification protocols for analysis of transcript structure and alternative splicing [J].
Castle, J ;
Garrett-Engele, P ;
Armour, CD ;
Duenwald, SJ ;
Loerch, PM ;
Meyer, MR ;
Schadt, EE ;
Stoughton, R ;
Parrish, ML ;
Shoemaker, DD ;
Johnson, JM .
GENOME BIOLOGY, 2003, 4 (10)
[10]   Optimization of probe length and the number of probes per gene for optimal microarray analysis of gene expression [J].
Chou, CC ;
Chen, CH ;
Lee, TT ;
Peck, K .
NUCLEIC ACIDS RESEARCH, 2004, 32 (12) :e99