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Serum Peptide profiling bymagnetic Particle-Assisted,Automated Sample Processing and MALDI-TOF Mass Spectrometry

机译:磁性粒子辅助自动样品处理和MALDI-TOF质谱分析血清肽谱

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摘要

Humanserum contians a complex array of proteolyticallyderived peptides(serum peptidome)that may provide a correlate of biologicla events occurring in the entire organism;for instance,as a diagnostic for solid tumors (Petricoin,E.F.;Ardekani,A.M.;Hitt,B.A.;Levine,P.J.;Fusaro,V.A.;Steinberg,S.M.;Mills,G.B.;Simone,C.;Fishman,D.A.;Kohn,E.C.;Liotta,L.Lancet 2002,359,572-577).Here,we describe a noveol,automated techonology platform for the simulple,scalable,and generates highly reproducible pattterns.Peptides are captured and concentrated using reversed-phase (RP)batch processing in a magnetic particle-based format,automated on a liquid handling robot,and followed by a MALDI TOF mass spectrometric readout.The protocol is based ona detailed investigaton of serum handlign,RP ligand and eluant seleciton,smallj-volume robotics design,an optimized spectral acquisition program,and consistent peak extraction plus binning across a study set.the improved sensitivity and resolution allowed detection of 400 poly-peptides (0.8-15-kDa range)in a single droplet(approx 50 muL) of serum,and almost 2000 unique peptides in larger sample sets,which canthen be analyzed using ocmmon microarray data analysis solftware.A pilot study indicatedthat sera from brain tumor patients can be distinguished from controls base dona pattern of 274 peptide masses.This,in turn,served to careate a learnign algorithm that correctly predicted 96.4(percent) of the samples as wigher normar o rdiseased.
机译:人血清包含一系列复杂的蛋白水解肽(血清肽组),可以提供整个生物体内发生的生物学事件的相关性;例如,作为实体瘤的诊断剂(Petricoin,EF; Ardekani,AM; Hitt,BA; Levine, PJ; Fusaro,VA; Steinberg,SM; Mills,GB; Simone,C。; Fishman,DA; Kohn,EC; Liotta,L.Lancet 2002,359,572-577)。使用反相(RP)批处理以磁性颗粒为基础的捕获和浓缩肽,在液体处理机器人上自动进行,然后进行MALDI TOF质谱读取,从而实现了简单,可缩放并生成高度可再现的图案。该协议基于对血清手胶,RP配体和洗脱液选择的详细调查,小体积机器人设计,优化的光谱采集程序,一致的峰提取以及整个研究集的分箱。改进的灵敏度和分辨率可实现检测。在一滴血清(约50μL)中有400种多肽(0.8-15 kDa范围),在较大的样品集中有将近2000种独特的肽,然后可以使用ocmmon微阵列数据分析溶剂仪进行分析。脑肿瘤患者的血清可与对照组的274个肽块的碱基供体模式区分开。这反过来有助于建立一种学习算法,该算法可正确预测96.4%的样本为标准的正常情况。

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