Koomen John M, Zhao Haitao, Li Donghui, Abbruzzese James, Baggerly Keith, Kobayashi Ryuji
Molecular Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Rapid Commun Mass Spectrom. 2004;18(21):2537-48. doi: 10.1002/rcm.1657.
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.
利用质谱分析血浆蛋白谱目前正在作为癌症和其他疾病的一种诊断工具进行评估。这些实验包括三个步骤:血浆蛋白分级分离、用基质辅助激光解吸/电离飞行时间质谱仪(MALDI-TOFMS)进行分析,以及将MALDI谱与利用生物信息学技术开发诊断指纹图谱进行比较。虽然初步结果在小样本组中看起来很有前景,但该方法受到MALDI-MS对完整蛋白质的灵敏度、MALDI-MS的有限质量范围以及与分离单个蛋白质进行鉴定以验证诊断指纹相关的困难的限制。在此,我们提出一种用于诊断性蛋白质发现的替代且改进的方法,该方法结合了蛋白水解肽谱分析、离子信号的生物信息学靶向以及MALDI串联质谱(MS/MS)肽测序,而不是指纹图谱分析。胰腺癌患者、胰腺炎患者和对照组被用作模型系统。与完整蛋白质谱分析相比,酶解后分析肽提高了灵敏度并扩展了可检测的蛋白质分子量范围。第一步是从血浆中提取和分级分离蛋白质。每个级分用胰蛋白酶消化,随后通过MALDI-MS进行分析。不是将生物信息学分析用作模式匹配技术,而是基于疾病靶向肽,以控制在每组所有质谱图平均值中测量的峰强度比以及每个单个峰强度的t检验。随后使用四极杆-TOF和串联-TOF仪器中的MALDI-MS/MS鉴定靶向的肽离子信号。本研究不仅发现了先前蛋白质谱实验中靶向和鉴定的蛋白质,还检测到了其他蛋白质。这些初步结果与胰腺癌或胰腺炎的已知生物学特性一致,但并非这些疾病所特有的。