Direct In-Bone Protein Digestion With Subsequent LC Separation and Trap Ion Mobility MS Detection of Released Peptides as an Effective Tool for the Proteomic Characterization of Bone Tissues

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Lenka Peterková, Michaela Tesařová, Adéla Sukupová, Iva Michalus, Pavel Cejnar, Zdeněk Fík, Jiří Šantrůček, Václav Kašička, Radovan Hynek
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引用次数: 0

Abstract

Common pathological changes in bone tissues like osteomas or exostoses remain not fully understood at the molecular level due to the difficulties in analyzing bone tissues in which they occur. Therefore, new rapid and powerful techniques are needed that could become routine tools for such analysis. The primary aim of this study was to evaluate whether direct in-bone tryptic protein digestion followed by LC separation and trap ion mobility MS detection and identification of released peptides is able to identify sufficient numbers of proteins in above mentioned bone tissues. The second aim was to verify whether the mathematical analysis of the obtained MS data would have a potential to distinguish pathological and control healthy bone tissues. It turned out that this approach made possible to identify altogether 4810 proteins in samples of control healthy skull bone tissues, 6284 proteins in pathological skull bone tissues, and 3000 proteins in mandibular bone tissues. Mathematical analysis of obtained MS data enabled to discriminate control healthy and pathological skull bone tissues samples with accuracy of 87%. Thus, the reported approach seems to have a high potential for routine and effective characterization of bone tissues, in which pathological changes like exostoses or osteomas may occur. Data are available via ProteomeXchange with identifier PXD065656.

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直接骨内蛋白消化,随后的LC分离和释放肽的阱离子迁移率质谱检测作为骨组织蛋白质组学表征的有效工具。
骨组织中常见的病理变化,如骨瘤或外生骨瘤,在分子水平上仍未完全了解,因为很难分析发生这些变化的骨组织。因此,需要新的快速和强大的技术来成为这种分析的常规工具。本研究的主要目的是评估直接骨内胰蛋白酶消化,然后LC分离和离子迁移率,质谱检测和鉴定释放肽是否能够在上述骨组织中鉴定足够数量的蛋白质。第二个目的是验证获得的MS数据的数学分析是否具有区分病理和控制健康骨组织的潜力。结果表明,这种方法可以在对照健康颅骨组织样品中共鉴定出4810种蛋白质,在病理颅骨组织样品中鉴定出6284种蛋白质,在下颌骨组织样品中鉴定出3000种蛋白质。对获得的MS数据进行数学分析,能够区分对照健康和病理颅骨组织样本,准确率为87%。因此,所报道的方法似乎在常规和有效表征骨组织方面具有很高的潜力,其中可能发生外生骨瘤或骨瘤等病理变化。数据可通过ProteomeXchange获得,标识符为PXD065656。
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来源期刊
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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