Antibody microarray profiling of human prostate cancer sera: antibody screening and identification of potential biomarkers - PubMed (original) (raw)
Antibody microarray profiling of human prostate cancer sera: antibody screening and identification of potential biomarkers
Jeremy C Miller et al. Proteomics. 2003 Jan.
Abstract
We developed a practical strategy for serum protein profiling using antibody microarrays and applied the method to the identification of potential biomarkers in prostate cancer serum. Protein abundances from 33 prostate cancer and 20 control serum samples were compared to abundances from a common reference pool using a two-color fluorescence assay. Robotically spotted microarrays containing 184 unique antibodies were prepared on two different substrates: polyacrylamide based hydrogels on glass and poly-1-lysine coated glass with a photoreactive cross-linking layer. The hydrogel substrate yielded an average six-fold higher signal-to-noise ratio than the other substrate, and detection of protein binding was possible from a greater number of antibodies using the hydrogels. A statistical filter based on the correlation of data from "reverse-labeled" experiment sets accurately predicted the agreement between the microarray measurements and enzyme-linked immunosorbent assay measurements, showing that this parameter can serve to screen for antibodies that are functional on microarrays. Having defined a set of reliable microarray measurements, we identified five proteins (von Willebrand Factor, immunoglobulinM, Alpha1-antichymotrypsin, Villin and immunoglobulinG) that had significantly different levels between the prostate cancer samples and the controls. These developments enable the immediate use of high-density antibody and protein microarrays in biomarker discovery studies.
Similar articles
- Protein profiling in human sera for identification of potential lung cancer biomarkers using antibody microarray.
Han MK, Oh YH, Kang J, Kim YP, Seo S, Kim J, Park K, Kim HS. Han MK, et al. Proteomics. 2009 Dec;9(24):5544-52. doi: 10.1002/pmic.200800777. Proteomics. 2009. PMID: 20017155 - Development of a "reverse capture" autoantibody microarray for studies of antigen-autoantibody profiling.
Qin S, Qiu W, Ehrlich JR, Ferdinand AS, Richie JP, O'leary MP, Lee ML, Liu BC. Qin S, et al. Proteomics. 2006 May;6(10):3199-209. doi: 10.1002/pmic.200500673. Proteomics. 2006. PMID: 16596707 - Detection of prostate cancer with a blood-based assay for early prostate cancer antigen.
Paul B, Dhir R, Landsittel D, Hitchens MR, Getzenberg RH. Paul B, et al. Cancer Res. 2005 May 15;65(10):4097-100. doi: 10.1158/0008-5472.CAN-04-4523. Cancer Res. 2005. PMID: 15899799 - Epitomics: serum screening for the early detection of cancer on microarrays using complex panels of tumor antigens.
Draghici S, Chatterjee M, Tainsky MA. Draghici S, et al. Expert Rev Mol Diagn. 2005 Sep;5(5):735-43. doi: 10.1586/14737159.5.5.735. Expert Rev Mol Diagn. 2005. PMID: 16149876 Review. - New circulating biomarkers for prostate cancer.
Bensalah K, Lotan Y, Karam JA, Shariat SF. Bensalah K, et al. Prostate Cancer Prostatic Dis. 2008;11(2):112-20. doi: 10.1038/sj.pcan.4501026. Epub 2007 Nov 13. Prostate Cancer Prostatic Dis. 2008. PMID: 17998918 Review.
Cited by
- Protein expression profiling arrays: tools for the multiplexed high-throughput analysis of proteins.
Sydor JR, Nock S. Sydor JR, et al. Proteome Sci. 2003 Jun 10;1(1):3. doi: 10.1186/1477-5956-1-3. Proteome Sci. 2003. PMID: 12831399 Free PMC article. - Validation of arrayed imaging reflectometry biosensor response for protein-antibody interactions: cross-correlation of theory, experiment, and complementary techniques.
Sriram R, Yadav AR, Mace CR, Miller BL. Sriram R, et al. Anal Chem. 2011 May 15;83(10):3750-7. doi: 10.1021/ac2001302. Epub 2011 Apr 25. Anal Chem. 2011. PMID: 21517019 Free PMC article. - Relative quantification of several plasma proteins during liver transplantation surgery.
Parviainen V, Joenväärä S, Tukiainen E, Ilmakunnas M, Isoniemi H, Renkonen R. Parviainen V, et al. J Biomed Biotechnol. 2011;2011:248613. doi: 10.1155/2011/248613. Epub 2011 Dec 10. J Biomed Biotechnol. 2011. PMID: 22187521 Free PMC article. - Molecular screening of cancer: the future is here.
Srivastava S. Srivastava S. Mol Diagn Ther. 2006;10(4):221-30. doi: 10.1007/BF03256460. Mol Diagn Ther. 2006. PMID: 16884325 Review. - An in silico analytical study of lung cancer and smokers datasets from gene expression omnibus (GEO) for prediction of differentially expressed genes.
Hasan AN, Ahmad MW, Madar IH, Grace BL, Hasan TN. Hasan AN, et al. Bioinformation. 2015 May 28;11(5):229-35. doi: 10.6026/97320630011229. eCollection 2015. Bioinformation. 2015. PMID: 26124566 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical