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人血小板衍生微粒体的蛋白质组学特征。

Proteomic characterization of human platelet-derived microparticles.

机构信息

Dipartimento di Chimica, Sapienza Università di Roma, Rome, Italy.

出版信息

Anal Chim Acta. 2013 May 7;776:57-63. doi: 10.1016/j.aca.2013.03.023. Epub 2013 Mar 19.

Abstract

Microparticles (MPs) are small fragments of apoptotic or activated cells that may contribute to pathological processes in many diseases. Platelet-derived MPs (PMPs) are the most abundant type of MPs in human blood. To characterize the proteins in PMPs we used a shotgun proteomics approach by nanoHPLC separation followed by MS analysis on an LTQ Orbitrap XL. PMPs were produced from isolated platelets stimulated with adenosine diphosphate (ADP). We developed an analytical platform constituted by two different steps: in the first one we used a standard shotgun strategy; in the second one, to improve low-molecular weight, low-abundance-proteins identification, the samples were fractionated using hydrogel nanoparticles, an enrichment system based on a mixed mechanism of dimensional exclusion and colorant affinity. This was chosen to tackle a common issue with shotgun approaches, in which the low-abundance proteins are not detected when surveys are on a broad scale. By means of the entire analytical platform, we identified 603 proteins, 243 of which were not previously identified. A simple and straightforward procedure for the study of PMPs was provided, producing a tool for further understanding their biological and pathological roles, and a baseline for future studies aimed at discovering biomarkers involved in several diseases.

摘要

微粒(MPs)是细胞凋亡或激活时产生的小碎片,可能会促进许多疾病的病理过程。血小板来源的 MPs(PMPs)是人类血液中最丰富的 MPs 类型。为了对 PMPs 中的蛋白质进行表征,我们使用了一种 shotgun 蛋白质组学方法,通过纳升 HPLC 分离,然后在 LTQ Orbitrap XL 上进行 MS 分析。用二磷酸腺苷(ADP)刺激分离的血小板产生 PMPs。我们开发了一个由两个不同步骤组成的分析平台:在第一个步骤中,我们使用了标准的 shotgun 策略;在第二个步骤中,为了提高低分子量、低丰度蛋白质的鉴定,我们使用基于尺寸排除和显色剂亲和混合机制的水凝胶纳米粒子对样品进行了分级。这是为了解决 shotgun 方法中的一个常见问题,即在广泛调查时,低丰度蛋白质无法被检测到。通过整个分析平台,我们鉴定了 603 种蛋白质,其中 243 种以前未被鉴定过。为 PMPs 的研究提供了一种简单直接的方法,为进一步了解其生物学和病理学作用提供了工具,并为未来旨在发现涉及多种疾病的生物标志物的研究奠定了基础。

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