MSiMass List: A Public Database of Identifications for Protein MALDI MS Imaging
MSiMass List: A Public Database of Identifications for Protein MALDI MS Imaging
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DOI：
10.1021/pr400620y
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发表时间：
2014-02-01
影响因子：
4.4
通讯作者：
Corthals, Garry L.
中科院分区：
文献类型：
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作者：
McDonnell, Liam A.;Walch, Axel;Corthals, Garry L.
质谱成像的临床应用已经发展成为蛋白质组学和代谢组学的一个相当大的分支学科，因为它与病理学的无缝集成使生物标志物和生物标志物谱能够被确定，这可以帮助患者和疾病分层（诊断，预后和对治疗的反应）。由于存在非胰蛋白酶蛋白质片段、通过串联质谱法不能有效片段化的大质荷比离子或高密度的同量异序物质，因此对鉴别峰的可靠鉴定仍然是一个挑战。已启动公共鉴定数据库，以帮助临床开发和实施质谱成像。MSiMass列表数据库（www.maldi-msi.org/mass）使用户能够为其实验中观察到的峰指定身份，并提供获得身份的方法。与现有的蛋白质数据库相比，这个列表是作为一个社区的努力而设计的，没有正式的审查小组。在这个概念中，作者可以自由输入数据，并可以对现有条目进行评论。因此，该数据库本身就是一次知识共享实验，其快速提供优质数据的能力将在未来进行评估。
The clinical application of mass spectrometry imaging has developed into a sizable subdiscipline of proteomics and metabolomics because its seamless integration with pathology enables biomarkers and biomarker profiles to be determined that can aid patient and disease stratification (diagnosis, prognosis, and response to therapy). Confident identification of the discriminating peaks remains a challenge owing to the presence of nontryptic protein fragments, large mass-to-charge ratio ions that are not efficiently fragmented via tandem mass spectrometry or a high density of isobaric species. A public database of identifications has been initiated to aid the clinical development and implementation of mass spectrometry imaging. The MSiMass list database (www.maldi-msi.org/mass) enables users to assign identities to the peaks observed in their experiments and provides the method's by which the identifications were obtained. In contrast with existing protein databases, this list is designed as a community effort without a formal review panel. In this concept, authors can freely enter data and can comment on existing entries. In such, the database itself is an experiment on sharing knowledge, and its ability to rapidly provide quality data will be evaluated in the future.