Antibody micro arrays are an emerging technology that has the potential to efficiently and quantitatively analyze many proteins in thousands of samples. Therefore, this technology can provide a badly needed mechanism for determining the clinical usefulness of individual or profiles of potential biomarkers. At present, though, antibody micro array analysis lacks the guiding principles, standard procedures, honed laboratory practices, foundational statistics and supporting software to produce quality results on a large scale. Therefore, we have started to develop both the protocols and supporting software (""""""""ProMAT"""""""") specifically for analyzing protein micro array data. The goal of this proposal is to advance antibody micro array to the point that it can be used as a routine tool for clinical biomarker validation. To accomplish this goal, we plan to establish novel protocols for the use of internal and external standards, develop the statistical foundation for evaluating data quality at all stages of data collection and analysis, and develop a sophisticated bioinformatics tool for rapid data analysis, including advanced quality control features. This system will also aid in identifying sources of data variability and will allow for data normalization. We will use an iterative process that cycles through resolving assay requirements, deriving statistical methods and composing prototype software, honing laboratory practices and assay procedures, and evaluating progress through repetitive experimentation that focuses on assessing data quality and reproducibility. At the completion of this work, we will have uncovered guiding principles and requirements for conducting antibody micro array experiments and developed an integrated system for rapidly generating the high quality data required to evaluate the clinical potential of biomarker profiles. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB006177-02
Application #
7350214
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Korte, Brenda
Project Start
2007-02-01
Project End
2010-01-31
Budget Start
2008-02-01
Budget End
2009-01-31
Support Year
2
Fiscal Year
2008
Total Cost
$316,421
Indirect Cost
Name
Battelle Pacific Northwest Laboratories
Department
Type
DUNS #
032987476
City
Richland
State
WA
Country
United States
Zip Code
99352
Zangar, Richard C; Bollinger, Nikki; Weber, Thomas J et al. (2011) Reactive oxygen species alter autocrine and paracrine signaling. Free Radic Biol Med 51:2041-7
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White, Amanda M; Collett, James R; Seurynck-Servoss, Shannon L et al. (2009) ELISA-BASE: an integrated bioinformatics tool for analyzing and tracking ELISA microarray data. Bioinformatics 25:1566-7
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Gonzalez, Rachel M; Seurynck-Servoss, Shannon L; Crowley, Sheila A et al. (2008) Development and validation of sandwich ELISA microarrays with minimal assay interference. J Proteome Res 7:2406-14

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