Suppr超能文献

采用电子转移解离飞行时间质谱法对 30-80kDa 蛋白质进行自上而下的分析。

Top-down analysis of 30-80 kDa proteins by electron transfer dissociation time-of-flight mass spectrometry.

机构信息

Biomolecular Mass Spectrometry Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.

出版信息

Anal Bioanal Chem. 2013 Oct;405(26):8505-14. doi: 10.1007/s00216-013-7267-5. Epub 2013 Aug 10.

Abstract

Electron transfer dissociation (ETD)-based top-down mass spectrometry (MS) is the method of choice for in-depth structure characterization of large peptides, small- and medium-sized proteins, and non-covalent protein complexes. Here, we describe the performance of this approach for structural analysis of intact proteins as large as the 80 kDa serotransferrin. Current time-of-flight (TOF) MS technologies ensure adequate resolution and mass accuracy to simultaneously analyze intact 30-80 kDa protein ions and the complex mixture of their ETD product ions. Here, we show that ETD TOF MS is efficient and may provide extensive sequence information for unfolded and highly charged (around 1 charge/kDa) proteins of ~30 kDa and structural motifs embedded in larger proteins. Sequence regions protected by disulfide bonds within intact non-reduced proteins oftentimes remain uncharacterized due to the low efficiency of their fragmentation by ETD. For serotransferrin, reduction of S-S bonds leads to significantly varied ETD fragmentation pattern with higher sequence coverage of N- and C-terminal regions, providing a complementary structural information to top-down analysis of its oxidized form.

摘要

基于电子转移解离(ETD)的自上而下质谱(MS)是深入研究大型肽、中小蛋白质和非共价蛋白质复合物结构的首选方法。在这里,我们描述了这种方法在结构分析方面的性能,可用于分析完整蛋白质,其大小可达 80 kDa 的转铁蛋白。目前的飞行时间(TOF)MS 技术可确保足够的分辨率和质量精度,以同时分析完整的 30-80 kDa 蛋白质离子及其 ETD 产物离子的复杂混合物。在这里,我们表明 ETD TOF MS 是高效的,并且可以为~30 kDa 的展开的和高度荷电(约 1 电荷/ kDa)的蛋白质以及较大蛋白质中的结构模体提供广泛的序列信息。由于 ETD 对其片段化的效率低,因此在完整的未还原蛋白质中,由二硫键保护的序列区域通常未被表征。对于转铁蛋白,S-S 键的还原导致 ETD 碎片化模式发生显著变化,N-和 C-末端区域的序列覆盖率更高,为其氧化形式的自上而下分析提供了互补的结构信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验