2008
DOI: 10.1021/pr700892h
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A Concentration-Dependent Analysis Method for High Density Protein Microarrays

Abstract: Protein microarray technology is rapidly growing and has the potential to accelerate the discovery of targets of serum antibody responses in cancer, autoimmunity and infectious disease. Analytical tools for interpreting this high-throughput array data, however, are not well-established. We developed a concentration-dependent analysis (CDA) method which normalizes protein microarray data based on the concentration of spotted probes. We show that this analysis samples a data space that is complementary to other … Show more

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Cited by 19 publications
(29 citation statements)
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“…20 All samples were screened using arrays from the same printing lot. The microarrays contained approximately 8000 N-terminus GST-fusion human proteins expressed in an insect cell line and spotted on nitrocellulose-coated glass slides.…”
Section: Serologic Screening Using High-density Protein Microarraysmentioning
confidence: 99%
See 3 more Smart Citations
“…20 All samples were screened using arrays from the same printing lot. The microarrays contained approximately 8000 N-terminus GST-fusion human proteins expressed in an insect cell line and spotted on nitrocellulose-coated glass slides.…”
Section: Serologic Screening Using High-density Protein Microarraysmentioning
confidence: 99%
“…Fluorescence intensities were quantified using GenePix Pro Version 5.0 software (Molecular Devices) at 635 nm, 100% power, and 600 gain. Significant Ab-protein interactions were determined using Prospector Version 5.1.0 analysis software (Invitrogen) and an algorithm 20 that incorporates the contribution of protein spot concentration to signal intensity. Signal change between pre-treatment or control plasma and post-treatment plasma was considered significant if the change in both (1) the signal magnitude (Z delta ), defined as Z post Ϫ max(0, Z pre ) and (2) the ratio (Z mult ), defined as Z post /max(1,Z pre ), were greater than a cutoff value n (n ϭ 5 for significant Ags, called "candidate Ags").…”
Section: Serologic Screening Using High-density Protein Microarraysmentioning
confidence: 99%
See 2 more Smart Citations
“…Relative quantification is usually sufficient for this purpose. However, absolute quantification, needed for diagnostics, can be achieved by adding a certified standard to the samples printed on the slide (Breitling et al, 2004;Marina et al, 2008).…”
Section: Informaticsmentioning
confidence: 99%