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SELDI 峰对应低丰度血浆和血清蛋白质的纯化和质谱鉴定策略。

Strategy for purification and mass spectrometry identification of SELDI peaks corresponding to low-abundance plasma and serum proteins.

机构信息

INSERM, U744, Lille, France.

出版信息

J Proteomics. 2011 Apr 1;74(4):420-30. doi: 10.1016/j.jprot.2010.12.005. Epub 2010 Dec 22.

DOI:10.1016/j.jprot.2010.12.005
PMID:21184852
Abstract

Analysis by SELDI-TOF-MS of low abundance proteins makes it possible to select peaks as candidate biomarkers. Our aim was to define a purification strategy to optimise identification by MS of peaks detected by SELDI-TOF-MS from plasma or serum, regardless of any treatment by a combinatorial peptide ligand library (CPLL). We describe 2 principal steps in purification. First, choosing the appropriate sample containing the selected peak requires setting up a databank that records all the m/z peaks detected from samples in different conditions. Second, the specific purification process must be chosen: separation was achieved with either chromatographic columns or liquid-phase isoelectric focusing, both combined when appropriate with reverse-phase chromatography. After purification, peaks were separated by gel electrophoresis and the candidate proteins were analyzed by nano-liquid-chromatography-MS/MS. We chose 4m/z peaks (9400, 13,571, 13,800 and 15,557) selected for their differential expression between two conditions, as examples to explain the different strategies of purification, and we successfully identified 3 of them. Despite some limitations, our strategy to purify and identify peaks selected from SELDI-TOF-MS analysis was effective.

摘要

SELDI-TOF-MS 分析低丰度蛋白质使得选择峰作为候选生物标志物成为可能。我们的目的是定义一种纯化策略,以通过 MS 优化从血浆或血清中通过 SELDI-TOF-MS 检测到的峰的鉴定,而无需任何组合肽配体文库 (CPLL) 处理。我们描述了纯化的 2 个主要步骤。首先,选择包含所选峰的合适样品需要建立一个数据库,该数据库记录了从不同条件下的样品中检测到的所有 m/z 峰。其次,必须选择特定的纯化过程:可以使用色谱柱或液相等电聚焦来分离,在适当的情况下,两者都与反相色谱相结合。纯化后,通过凝胶电泳分离峰,并通过纳流液相色谱-MS/MS 分析候选蛋白质。我们选择了 4 个 m/z 峰(9400、13571、13800 和 15557)作为示例,解释不同的纯化策略,这些峰因其在两种条件之间的差异表达而被选中,我们成功鉴定了其中的 3 个。尽管存在一些限制,但我们从 SELDI-TOF-MS 分析中选择峰并进行纯化和鉴定的策略是有效的。

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