Suppr超能文献

使用磁扇形仪器的高分辨率电喷雾质谱法:精确质量测量和肽测序。

High resolution electrospray mass spectrometry with a magnetic sector instrument: accurate mass measurement and peptide sequencing.

作者信息

D'Agostino P A, Hancock J R, Provost L R, Semchuk P D, Hodges R S

机构信息

Defence Research Establishment Suffield, Alberta, Canada.

出版信息

Rapid Commun Mass Spectrom. 1995;9(7):597-603. doi: 10.1002/rcm.1290090713.

Abstract

The accurate molecular weights for a series of 37 unknown synthetic peptides, used in research studies involving synthetic vaccines, antibacterial peptides or the de novo design of helical peptides and proteins, were determined with a magnetic sector instrument. All data were obtained with external calibration over a wide mass range during magnetic scanning. Errors between observed and theoretical monoisotopic molecular weights were typically in the 5-60 ppm range for the unknowns at sector resolutions between 2500 and 9000 (10% valley). Isotopic clusters for charge states up to 10+ were resolved through the use of high resolution. Collisionally activated dissociation (CAD) in the electrospray interface resulted in product ions that enabled either full or partial sequencing of most unknown peptides of molecular weights below 2000 Da. The complete primary sequence for one peptide was determined and the importance of high resolution was demonstrated by the differentiation of lysine from glutamine, two amino acids differing in residue mass by only 0.0364 Da. Two other peptides, with identical monoisotopic masses, but different primary sequences, were differentiated based on CAD-MS data.

摘要

使用磁扇形仪器测定了一系列37种未知合成肽的精确分子量,这些肽用于涉及合成疫苗、抗菌肽或螺旋肽与蛋白质的从头设计的研究中。在磁扫描过程中,所有数据均通过在宽质量范围内的外部校准获得。对于扇形分辨率在2500至9000(10%谷底)之间的未知物,观察到的和理论单同位素分子量之间的误差通常在5-60 ppm范围内。通过使用高分辨率,解析了电荷态高达10+的同位素簇。电喷雾接口中的碰撞激活解离(CAD)产生了产物离子,这些离子能够对大多数分子量低于2000 Da的未知肽进行全序列或部分序列分析。确定了一种肽的完整一级序列,并且通过区分赖氨酸和谷氨酰胺(这两种氨基酸的残基质量仅相差0.0364 Da)证明了高分辨率的重要性。另外两种具有相同单同位素质量但不同一级序列的肽,基于CAD-MS数据得以区分。

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