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用于脑脊液蛋白质谱分析的表面增强激光解吸/电离飞行时间质谱的优化与评估

Optimization and evaluation of surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry for protein profiling of cerebrospinal fluid.

作者信息

Guerreiro Nelson, Gomez-Mancilla Baltazar, Charmont Stéphane

机构信息

Novartis, BioMarker Development, Exploratory Development, Klybeckstasse, CH-4002 Basel, Switzerland.

出版信息

Proteome Sci. 2006 Apr 27;4:7. doi: 10.1186/1477-5956-4-7.

Abstract

Cerebrospinal fluid (CSF) potentially carries an archive of peptides and small proteins relevant to pathological processes in the central nervous system (CNS) and surrounding brain tissue. Proteomics is especially well suited for the discovery of biomarkers of diagnostic potential in CSF for early diagnosis and discrimination of several neurodegenerative diseases. ProteinChip surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is one such approach which offers a unique platform for high throughput profiling of peptides and small proteins in CSF. In this study, we evaluated methodologies for the retention of CSF proteins < 20 kDa in size, and identify a strategy for screening small proteins and peptides in CSF. ProteinChip array types, along with sample and binding buffer conditions, and matrices were investigated. By coupling the processing of arrays to a liquid handler reproducible and reliable profiles, with mean peak coefficients of variation < 20%, were achieved for intra- and inter-assays under selected conditions. Based on peak m/z we found a high degree of overlap between the tested array surfaces. The combination of CM10 and IMAC30 arrays was sufficient to represent between 80-90% of all assigned peaks when using either sinapinic acid or alpha-Cyano-4-hydroxycinnamic acid as the energy absorbing matrices. Moreover, arrays processed with SPA consistently showed better peak resolution and higher peak number across all surfaces within the measured mass range. We intend to use CM10 and IMAC30 arrays prepared in sinapinic acid as a fast and cost-effective approach to drive decisions on sample selection prior to more in-depth discovery of diagnostic biomarkers in CSF using alternative but complementary proteomic strategies.

摘要

脑脊液(CSF)可能携带着与中枢神经系统(CNS)及周围脑组织病理过程相关的肽和小蛋白档案。蛋白质组学特别适合于发现脑脊液中具有诊断潜力的生物标志物,用于几种神经退行性疾病的早期诊断和鉴别。蛋白质芯片表面增强激光解吸/电离飞行时间质谱(SELDI-TOF-MS)就是这样一种方法,它为脑脊液中肽和小蛋白的高通量分析提供了一个独特的平台。在本研究中,我们评估了保留大小小于20 kDa的脑脊液蛋白的方法,并确定了一种筛选脑脊液中小蛋白和肽的策略。我们研究了蛋白质芯片阵列类型、样品和结合缓冲液条件以及基质。通过将阵列处理与液体处理仪相结合,在选定条件下,批内和批间分析均获得了可重复且可靠的图谱,平均峰变异系数<20%。基于峰的质荷比,我们发现测试的阵列表面之间有高度的重叠。当使用芥子酸或α-氰基-4-羟基肉桂酸作为能量吸收基质时,CM10和IMAC30阵列的组合足以代表所有指定峰的80-90%。此外,在测量质量范围内,用芥子酸处理的阵列在所有表面上始终显示出更好的峰分辨率和更高的峰数。我们打算使用以芥子酸制备的CM10和IMAC30阵列作为一种快速且经济高效的方法,在使用替代但互补的蛋白质组学策略对脑脊液中的诊断生物标志物进行更深入发现之前,推动样本选择的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/874e/1464122/b3f4e023633f/1477-5956-4-7-1.jpg

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