Literature DB >> 15243142

Optimization of probe length and the number of probes per gene for optimal microarray analysis of gene expression.

Cheng-Chung Chou1, Chun-Houh Chen, Te-Tsui Lee, Konan Peck.   

Abstract

Gene-specific oligonucleotide probes are currently used in microarrays to avoid cross-hybridization of highly similar sequences. We developed an approach to determine the optimal number and length of gene-specific probes for accurate transcriptional profiling studies. The study surveyed probe lengths from 25 to 1000 nt. Long probes yield better signal intensity than short probes. The signal intensity of short probes can be improved by addition of spacers or using higher probe concentration for spotting. We also found that accurate gene expression measurement can be achieved with multiple probes per gene and fewer probes are needed if longer probes rather than shorter probes are used. Based on theoretical considerations that were confirmed experimentally, our results showed that 150mer is the optimal probe length for expression measurement. Gene-specific probes can be identified using a computational approach for 150mer probes and they can be treated like long cDNA probes in terms of the hybridization reaction for high sensitivity detection. Our experimental data also show that probes which do not generate good signal intensity give erroneous expression ratio measurement results. To use microarray probes without experimental validation, gene-specific probes approximately 150mer in length are necessary. However, shorter oligonucleotide probes also work well in gene expression analysis if the probes are validated by experimental selection or if multiple probes per gene are used for expression measurement.

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Year:  2004        PMID: 15243142      PMCID: PMC484198          DOI: 10.1093/nar/gnh099

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  25 in total

1.  Assessment of the sensitivity and specificity of oligonucleotide (50mer) microarrays.

Authors:  M D Kane; T A Jatkoe; C R Stumpf; J Lu; J D Thomas; S J Madore
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

Review 2.  A concise guide to cDNA microarray analysis.

Authors:  P Hegde; R Qi; K Abernathy; C Gay; S Dharap; R Gaspard; J E Hughes; E Snesrud; N Lee; J Quackenbush
Journal:  Biotechniques       Date:  2000-09       Impact factor: 1.993

3.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

4.  Coaxial stacking of helixes enhances binding of oligoribonucleotides and improves predictions of RNA folding.

Authors:  A E Walter; D H Turner; J Kim; M H Lyttle; P Müller; D H Mathews; M Zuker
Journal:  Proc Natl Acad Sci U S A       Date:  1994-09-27       Impact factor: 11.205

Review 5.  Molecular interactions on microarrays.

Authors:  E Southern; K Mir; M Shchepinov
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

6.  Steric factors influencing hybridisation of nucleic acids to oligonucleotide arrays.

Authors:  M S Shchepinov; S C Case-Green; E M Southern
Journal:  Nucleic Acids Res       Date:  1997-03-15       Impact factor: 16.971

7.  Enhanced discrimination of single nucleotide polymorphisms by artificial mismatch hybridization.

Authors:  Z Guo; Q Liu; L M Smith
Journal:  Nat Biotechnol       Date:  1997-04       Impact factor: 54.908

8.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

9.  Direct fluorescence analysis of genetic polymorphisms by hybridization with oligonucleotide arrays on glass supports.

Authors:  Z Guo; R A Guilfoyle; A J Thiel; R Wang; L M Smith
Journal:  Nucleic Acids Res       Date:  1994-12-11       Impact factor: 16.971

10.  Expression monitoring by hybridization to high-density oligonucleotide arrays.

Authors:  D J Lockhart; H Dong; M C Byrne; M T Follettie; M V Gallo; M S Chee; M Mittmann; C Wang; M Kobayashi; H Horton; E L Brown
Journal:  Nat Biotechnol       Date:  1996-12       Impact factor: 54.908

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  67 in total

1.  Methodological approaches to cytochrome P450 profiling in embryos.

Authors:  Jared V Goldstone; John J Stegeman
Journal:  Methods Mol Biol       Date:  2012

2.  Quantitative assessment of a novel flow-through porous microarray for the rapid analysis of gene expression profiles.

Authors:  Ying Wu; Peggy de Kievit; Lars Vahlkamp; Dirk Pijnenburg; Maarten Smit; Martijn Dankers; Diana Melchers; Martijn Stax; Piet J Boender; Colin Ingham; Niek Bastiaensen; Rik de Wijn; Dirk van Alewijk; Henk van Damme; Anton K Raap; Alan B Chan; Rinie van Beuningen
Journal:  Nucleic Acids Res       Date:  2004-08-27       Impact factor: 16.971

3.  Exploiting the wild crucifer Thlaspi arvense to identify conserved and novel genes expressed during a plant's response to cold stress.

Authors:  Nirmala Sharma; Dustin Cram; Terry Huebert; Ning Zhou; Isobel A P Parkin
Journal:  Plant Mol Biol       Date:  2006-09-14       Impact factor: 4.076

4.  Global assessment of cross-hybridization for oligonucleotide arrays.

Authors:  Cavan Reilly; Arvind Raghavan; Paul Bohjanen
Journal:  J Biomol Tech       Date:  2006-04

5.  Computer simulation study of molecular recognition in model DNA microarrays.

Authors:  Arthi Jayaraman; Carol K Hall; Jan Genzer
Journal:  Biophys J       Date:  2006-09-15       Impact factor: 4.033

Review 6.  The incredible shrinking world of DNA microarrays.

Authors:  Sarah J Wheelan; Francisco Martínez Murillo; Jef D Boeke
Journal:  Mol Biosyst       Date:  2008-04-17

Review 7.  Basic concepts of microarrays and potential applications in clinical microbiology.

Authors:  Melissa B Miller; Yi-Wei Tang
Journal:  Clin Microbiol Rev       Date:  2009-10       Impact factor: 26.132

8.  Evaluating oligonucleotide properties for DNA microarray probe design.

Authors:  Xiao-Qin Xia; Zhenyu Jia; Steffen Porwollik; Fred Long; Claudia Hoemme; Kai Ye; Carsten Müller-Tidow; Michael McClelland; Yipeng Wang
Journal:  Nucleic Acids Res       Date:  2010-03-17       Impact factor: 16.971

9.  Model-based probe set optimization for high-performance microarrays.

Authors:  Germán Gastón Leparc; Thomas Tüchler; Gerald Striedner; Karl Bayer; Peter Sykacek; Ivo L Hofacker; David P Kreil
Journal:  Nucleic Acids Res       Date:  2008-12-22       Impact factor: 16.971

10.  An efficient algorithm for the stochastic simulation of the hybridization of DNA to microarrays.

Authors:  Erdem Arslan; Ian J Laurenzi
Journal:  BMC Bioinformatics       Date:  2009-12-10       Impact factor: 3.169

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