Cross-Hybridization of Closely Related Genes on High-Density Macroarrays
Author(s) -
Neil Miller,
Qiaoyun Gong,
R. Nick Bryan,
Michael Ruvolo,
Lauré Turner,
Sam LaBrie
Publication year - 2002
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/02323pf01
Subject(s) - gene , biology , genetics , nucleic acid thermodynamics , computational biology , dna microarray , dna–dna hybridization , hybridization probe , gene expression , microbiology and biotechnology , rna
DNA macroarrays are used in many areas of molecular biology research for applications ranging from gene discovery to gene expression profiling. As an increasing number of specialized macroarrays containing genes related by function or pathway are becoming available, a question that needs to be addressed is the level of hybridization signal specificity between highly similar genes that can be achieved. We have examined the ability of our LifeGrid macroarrays to distinguish hybridization signals between closely related genes. We determined the level of cross-hybridization among genes ranging from 52% to 94% sequence identity. Fragments of genes fromfive protein families were arrayed onto nylonfilters. Thefilters were subsequently hybridized with a 33P-labeled probe prepared from a pool of synthetic mRNA transcripts containing a representative of each protein family. We found that fragments containing sequences with up to 94% sequence identity displayed relatively little cross-hybridization. We conclude that this macroarray system is very specific and that hybridization signals from closely related genes can be reliably measured.
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