Diagnostic protein discovery using proteolytic peptide targeting and identification
John M. Koomen
Molecular Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorHaitao Zhao
Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorDonghui Li
Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorJames Abbruzzese
Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorCorresponding Author
Keith Baggerly
Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Keith Baggerly, Biostatistics and Applied Mathematics 0447, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Ryuji Kobayashi, Molecular Pathology 0089, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Search for more papers by this authorCorresponding Author
Ryuji Kobayashi
Molecular Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Keith Baggerly, Biostatistics and Applied Mathematics 0447, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Ryuji Kobayashi, Molecular Pathology 0089, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Search for more papers by this authorJohn M. Koomen
Molecular Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorHaitao Zhao
Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorDonghui Li
Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorJames Abbruzzese
Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Search for more papers by this authorCorresponding Author
Keith Baggerly
Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Keith Baggerly, Biostatistics and Applied Mathematics 0447, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Ryuji Kobayashi, Molecular Pathology 0089, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Search for more papers by this authorCorresponding Author
Ryuji Kobayashi
Molecular Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA
Keith Baggerly, Biostatistics and Applied Mathematics 0447, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Ryuji Kobayashi, Molecular Pathology 0089, UT M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Search for more papers by this authorAbstract
Plasma protein profiling with mass spectrometry is currently being evaluated as a diagnostic tool for cancer and other diseases. These experiments consist of three steps: plasma protein fractionation, analysis with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS), and comparisons of the MALDI profiles to develop diagnostic fingerprints using bioinformatic techniques. While preliminary results appear promising in small sample groups, the method is limited by the sensitivity of MALDI-MS for intact proteins, the limited mass range of MALDI-MS, and difficulties associated with isolating individual proteins for identification to validate the diagnostic fingerprint. Here we present an alternative and improved method directed toward diagnostic protein discovery, which incorporates proteolytic peptide profiling, bioinformatic targeting of ion signals, and MALDI tandem mass spectrometry (MS/MS) peptide sequencing, rather than fingerprinting. Pancreatic cancer patients, pancreatitis patients, and controls are used as the model system. Profiling peptides after enzymatic digestion improves sensitivity and extends the accessible protein molecular weight range when compared to intact protein profiling. The first step is to extract and fractionate the proteins from plasma. Each fraction is digested with trypsin and subsequently analyzed by MALDI-MS. Rather than using bioinformatic analysis as a pattern-matching technique, peptides are targeted based on the disease to control peak intensity ratios measured in the averages of all mass spectra in each group and t-tests of the intensity of each individual peak. The targeted peptide ion signals are subsequently identified using MALDI-MS/MS in quadrupole-TOF and tandem-TOF instruments. This study found not only the proteins targeted and identified by a previous protein profiling experiment, but also detected additional proteins. These initial results are consistent with the known biology of pancreatic cancer or pancreatitis, but are not specific to those diseases. Copyright © 2004 John Wiley & Sons, Ltd.
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