Literature DB >> 15063067

Designing better probes: effect of probe size, mismatch position and number on hybridization in DNA oligonucleotide microarrays.

Jaroslaw Letowski1, Roland Brousseau, Luke Masson.   

Abstract

DNA microarrays represent a powerful technology whose use has been hampered by the uncertainty of whether the same principles, established on a scale typical for membrane hybridizations, apply when using the smaller, rigid support of microarrays. Our goal was to understand how the number and position of base pair mismatches, probe length and their G+C content affect the intensity and specificity of the hybridization signal. One set of oligonucleotides (50-mers) based on three regions of the Bacillus thuringiensis cry1Aa1 gene possessing 30%, 42%, and 56% G+C content, a second set with similar G+C content (37% to 40%) but different lengths (30 to 100 bases), and finally amplicon probes (101 to 3000 base pairs) with G+C contents of 37% to 39%, were used. Probes with mismatches distributed over their entire length were the most specific, while those with mismatches grouped at either the 3' or 5'-end were the least specific. Hybridizations done at 8 to 13 degrees C below the calculated T(m) of perfectly matched probes, as compared to the widely used lower temperatures of 20 to 25 degrees C, enhanced probe discrimination. Longer probes produced higher fluorescent hybridization signals than shorter ones. These results should help to optimize the design of oligonucleotide-based DNA microarrays.

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Year:  2004        PMID: 15063067     DOI: 10.1016/j.mimet.2004.02.002

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  47 in total

1.  Assessment of cry1 gene contents of Bacillus thuringiensis strains by use of DNA microarrays.

Authors:  Jaroslaw Letowski; Alejandra Bravo; Roland Brousseau; Luke Masson
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

Review 2.  Microarray applications in microbial ecology research.

Authors:  T J Gentry; G S Wickham; C W Schadt; Z He; J Zhou
Journal:  Microb Ecol       Date:  2006-08-08       Impact factor: 4.552

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

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

4.  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

5.  In situ-synthesized virulence and marker gene biochip for detection of bacterial pathogens in water.

Authors:  Sarah M Miller; Dieter M Tourlousse; Robert D Stedtfeld; Samuel W Baushke; Amanda B Herzog; Lukas M Wick; Jean Marie Rouillard; Erdogan Gulari; James M Tiedje; Syed A Hashsham
Journal:  Appl Environ Microbiol       Date:  2008-02-01       Impact factor: 4.792

6.  Clustering time-series gene expression data using smoothing spline derivatives.

Authors:  S Déjean; P G P Martin; A Baccini; P Besse
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

7.  Development of a DNA microarray for enterococcal species, virulence, and antibiotic resistance gene determinations among isolates from poultry.

Authors:  J Champagne; M S Diarra; H Rempel; E Topp; C W Greer; J Harel; L Masson
Journal:  Appl Environ Microbiol       Date:  2011-02-18       Impact factor: 4.792

8.  Identification of Escherichia coli O157 by using a novel colorimetric detection method with DNA microarrays.

Authors:  Beatriz Quiñones; Michelle S Swimley; Amber W Taylor; Erica D Dawson
Journal:  Foodborne Pathog Dis       Date:  2011-02-02       Impact factor: 3.171

9.  A short-oligonucleotide microarray that allows improved detection of gastrointestinal tract microbial communities.

Authors:  Carl R Harrington; Sacha Lucchini; Karyn P Ridgway; Udo Wegmann; Tracy J Eaton; Jay C D Hinton; Michael J Gasson; Arjan Narbad
Journal:  BMC Microbiol       Date:  2008-11-11       Impact factor: 3.605

10.  A flexible whole-genome microarray for transcriptomics in three-spine stickleback (Gasterosteus aculeatus).

Authors:  Erica H Leder; Juha Merilä; Craig R Primmer
Journal:  BMC Genomics       Date:  2009-09-11       Impact factor: 3.969

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