Indirect measurements of differential gene expression with cDNA microarrays
Author(s) -
Thomas J. Belbin,
John M. Gaspar,
Missak Haigentz,
Román Pérez-Soler,
Steven M. Keller,
Michael B. Prystowsky,
Geoffrey Childs,
Nicholas D. Socci
Publication year - 2004
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/04362mt02
Subject(s) - complementary dna , dna microarray , false positive paradox , biology , gene expression , gene , rna , genetics , microarray , computational biology , reference genes , microbiology and biotechnology , gene expression profiling , mathematics , statistics
The use of universal RNA reference sets is an increasingly common approach to molecular classification studies with cDNA microarrays. Here we evaluated the reliability of indirect measurements of fluorescence ratios with a common RNA reference as a means of identifying differentially expressed genes. Comparisons of direct and indirect measures of differential gene expression showed a strong overall correlation in fluorescence ratio measurements but also a high degree of false positives in our indirect measurements. These results indicated that the application of more stringent ratio filters may be required when assessing differential gene expression utilizing a common RNA reference in classification studies.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom