The Hunt Lab Guide to De Novo Peptide Sequence Analysis by Tandem Mass Spectrometry.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Lissa C Anderson, Dina L Bai, Greg T Blakney, David S Butcher, Larry Reser, Jeffrey Shabanowitz
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Abstract

Donald Hunt has made seminal contributions to the fields of proteomics, immunology, epigenetics, and glycobiology. The foundation of every important work to come out of the Hunt Laboratory is de novo peptide sequencing. For decades, he taught hundreds of students, postdocs, engineers, and scientists to directly interpret mass spectral data. To honor his legacy and ensure that the art of de novo sequencing is not lost, we have adapted his teaching materials into "The Hunt Lab Guide to De Novo Peptide Sequence Analysis by Tandem Mass Spectrometry". In addition to the de novo sequencing tutorials, we present two freely available software tools that facilitate manual interpretation of mass spectra and validation of search results. The first, "Hunt Lab Peptide Fragment Calculator", calculates precursor and fragment mass-to-charge ratios for any peptide. The second program, "Predator Protein Fragment Calculator", was inspired in part by the fragment calculator developed in the Hunt Lab. Its capabilities are enhanced to facilitate interpretation of mass spectral data derived from intact proteins. We hope that the combination of these educational tools will continue to benefit students and researchers by empowering them to interpret data on their own.

Hunt Lab Guide to De Novo Peptide Sequence Analysis by Tandem Mass Spectrometry。
唐纳德-亨特在蛋白质组学、免疫学、表观遗传学和糖生物学领域做出了开创性的贡献。亨特实验室每一项重要工作的基础都是全新肽测序。几十年来,他教会了数百名学生、博士后、工程师和科学家直接解读质谱数据。为了缅怀他的丰功伟绩,并确保从头测序技术不会失传,我们将他的教学材料改编成《Hunt 实验室串联质谱从头肽段分析指南》。除了从头测序教程,我们还介绍了两款免费提供的软件工具,方便用户手动解读质谱和验证搜索结果。第一个软件是 "Hunt Lab 多肽片段计算器",可以计算任何多肽的前体和片段质量电荷比。第二个程序 "Predator 蛋白片段计算器 "的部分灵感来自 Hunt 实验室开发的片段计算器。该程序的功能得到了增强,便于解读来自完整蛋白质的质谱数据。我们希望将这些教育工具结合起来,使学生和研究人员有能力自己解读数据,从而继续从中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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