Internal standard-based analysis of microarray data2-Analysis of functional associations between HVE-genes

Igor M. Dozmorov, James Jarvis, Ricardo Saban, Doris M. Benbrook, Edward Wakeland, Ivona Aksentijevich, John Ryan, Nicholas Chiorazzi, Joel M. Guthridge, Elizabeth Drewe, Patrick J. Tighe, Michael Centola, Ivan Lefkovits

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9 Scopus citations

Abstract

In this work we apply the Internal Standard-based analytical approach that we described in an earlier communication and here we demonstrate experimental results on functional associations among the hypervariably-expressed genes (HVE-genes). Our working assumption was that those genetic components, which initiate the disease, involve HVE-genes for which the level of expression is undistinguishable among healthy individuals and individuals with pathology. We show that analysis of the functional associations of the HVE-genes is indeed suitable to revealing disease-specific differences. We show also that another possible exploit of HVE-genes for characterization of pathological alterations is by using multivariate classification methods. This in turn offers important clues on naturally occurring dynamic processes in the organism and is further used for dynamic discrimination of groups of compared samples. We conclude that our approach can uncover principally new collective differences that cannot be discerned by individual gene analysis.

Original languageEnglish (US)
Pages (from-to)7881-7899
Number of pages19
JournalNucleic acids research
Volume39
Issue number18
DOIs
StatePublished - Oct 2011

ASJC Scopus subject areas

  • Genetics

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    Dozmorov, I. M., Jarvis, J., Saban, R., Benbrook, D. M., Wakeland, E., Aksentijevich, I., Ryan, J., Chiorazzi, N., Guthridge, J. M., Drewe, E., Tighe, P. J., Centola, M., & Lefkovits, I. (2011). Internal standard-based analysis of microarray data2-Analysis of functional associations between HVE-genes. Nucleic acids research, 39(18), 7881-7899. https://doi.org/10.1093/nar/gkr503