Enhancing the Outcome of Microarray-Based Molecular Diagnostics

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TypeArticle
ConferenceThe Advances in Microarray Technology (AMT), May 7-8, 2008., Barcelona, Spain
AbstractMolecular diagnostics determines how genes and proteins are interacting in a cell and focuses upon gene and protein activity patterns in different types of cancerous or precancerous cells. Molecular diagnostics uncovers these sets of changes and captures this information as expression patterns via various data analysis techniques. The accuracy of the diagnostic process is hampered by many factors like: quality of the biological samples, accuracy of analytical methods and quality of microarray probes.While the first two factors can be addressed by using better sample storage procedures and careful sample manipulation and by carefully choosing analytical techniques with wider domains of applicability and proven higher accuracies, the third factor is most of the time hard to adjust, given the rigidity of existing microarray platforms and increased costs for their re-design and re-validation. Here, it is presented a technique that allows researchers to use experimental data (expression values) obtained with existing microarray platforms whose probe sets may not match the biological information known today. The technique is capable of adjusting the expression values in the experimental data by spotting inconsistencies between probes and their sequence origins and estimating their level of hybridization using molecular thermodynamic modeling.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50359
NPARC number8913778
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Record identifier8a5624cf-07a3-44eb-a42e-ef738c603bcf
Record created2009-04-22
Record modified2016-05-09
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