Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments

作者: K. A. Baggerly , J. S. Morris , K. R. Coombes

DOI: 10.1093/BIOINFORMATICS/BTG484

关键词: Normal tissueBioinformaticsArtificial intelligenceProtocol (science)Serum proteinReproducibilitySeldi tofPattern recognitionSample processing

摘要: Motivation: There has been much interest in using patterns derived from surface-enhanced laser desorption and ionization (SELDI) protein mass spectra serum to differentiate samples patients both with without disease. Such have used identification of the underlying proteins responsible. However, there are questions as stability this procedure over multiple experiments. Results: We compared SELDI proteomic three experiments by same group on separating ovarian cancer normal tissue. These available web at http://clinicalproteomics.steem.com. In general, results were not reproducible across experiments. Baseline correction prevents reproduction for two one experiment, is evidence a major shift protocol mid-experiment which could bias results. another, structure noise regions allows us distinguish cancer, suggesting that normals cancers processed differently. Sets features found discriminate well experiment do generalize other Finally, calibration all appears suspect. Taken together, these concerns suggest uncovered be due artifacts sample processing, biology cancer. provide some guidelines design analysis like ensure better reproducible, biologically meaningfully results. Availability: The MATLAB Perl code our analyses http://bioinformatics.mdanderson.org

参考文章(10)
Eric T. Fung, Cynthia Enderwick, ProteinChip® clinical proteomics: Computational challenges and solutions BioTechniques. ,vol. 32, pp. 34- 41 ,(2002) , 10.2144/MAR0205
H.C. Cordingley, S.L.L. Roberts, P. Tooke, J.R. Armitage, P.W. Lane, W. Wu, S.E. Wildsmith, Multifactorial screening design and analysis of SELDI-TOF ProteinChip array optimization experiments. BioTechniques. ,vol. 34, pp. 364- 373 ,(2003) , 10.2144/03342RR07
Kevin R. Coombes, Keith A. Baggerly, Jeffrey S. Morris, Lian-Chun Xiao, Jing Wang, David Gold, A comprehensive approach to the analysis of MALDI-TOF proteomics spectra from serum samples. Proteomics. ,vol. 3, ,(2003)
James M Sorace, Min Zhan, A data review and re-assessment of ovarian cancer serum proteomic profiling BMC Bioinformatics. ,vol. 4, pp. 24- 24 ,(2003) , 10.1186/1471-2105-4-24
Vincent Stroobant, Edmond de Hoffmann, Julie Trottier, Jean Joseph Charette, Mass Spectrometry: Principles and Applications ,(2002)
O. John Semmes, Yutaka Yasui, John W. Davis, Ziding Feng, Mary Ann Clements, Yinsheng Qu, Michael D. Ward, Paul F. Schellhammer, George L. Wright, George L. Wright, Lisa H. Cazares, Bao Ling Adam, Serum Protein Fingerprinting Coupled with a Pattern-matching Algorithm Distinguishes Prostate Cancer from Benign Prostate Hyperplasia and Healthy Men Cancer Research. ,vol. 62, pp. 3609- 3614 ,(2002)
Emanuel F Petricoin, Ali M Ardekani, Ben A Hitt, Peter J Levine, Vincent A Fusaro, Seth M Steinberg, Gordon B Mills, Charles Simone, David A Fishman, Elise C Kohn, Lance A Liotta, Use of proteomic patterns in serum to identify ovarian cancer The Lancet. ,vol. 359, pp. 572- 577 ,(2002) , 10.1016/S0140-6736(02)07746-2