用质谱法检测和定量小蛋白质。

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2025-09-01 Epub Date: 2025-08-14 DOI:10.1016/j.mcpro.2025.101052
Pedro H C Franco, Rilee Zeinert, Jakob Meier-Credo, Gisela Storz, Julian D Langer
{"title":"用质谱法检测和定量小蛋白质。","authors":"Pedro H C Franco, Rilee Zeinert, Jakob Meier-Credo, Gisela Storz, Julian D Langer","doi":"10.1016/j.mcpro.2025.101052","DOIUrl":null,"url":null,"abstract":"<p><p>Small proteins or microproteins, despite long being ignored, have important roles in the regulation of larger protein complexes, metabolic pathways, and gene expression. However, these proteins remain under-represented in proteomics studies because of low detection efficiency in traditional mass spectrometry (MS) workflows. Their inherent characteristics often lead to depletion during sample preparation and a low detection efficiency in LC-MS. To improve detection and quantitation, we took advantage of the large set of documented small proteins in Escherichia coli and systematically compared and optimized different sample preparation and LC-MS approaches. We evaluated different top-down and bottom-up approaches, including data-dependent acquisition, data-independent acquisition, and parallel reaction monitoring. Our data highlight the benefit of top-down proteomics for identifying new small proteins and bottom-up preparation coupled with parallel reaction monitoring acquisition for quantitation of protein levels in different growth conditions. Our systematic comparison can serve as a guideline for MS detection of small proteins in all organisms.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"101052"},"PeriodicalIF":5.5000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection and Quantitation of Small Proteins Using Mass Spectrometry.\",\"authors\":\"Pedro H C Franco, Rilee Zeinert, Jakob Meier-Credo, Gisela Storz, Julian D Langer\",\"doi\":\"10.1016/j.mcpro.2025.101052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Small proteins or microproteins, despite long being ignored, have important roles in the regulation of larger protein complexes, metabolic pathways, and gene expression. However, these proteins remain under-represented in proteomics studies because of low detection efficiency in traditional mass spectrometry (MS) workflows. Their inherent characteristics often lead to depletion during sample preparation and a low detection efficiency in LC-MS. To improve detection and quantitation, we took advantage of the large set of documented small proteins in Escherichia coli and systematically compared and optimized different sample preparation and LC-MS approaches. We evaluated different top-down and bottom-up approaches, including data-dependent acquisition, data-independent acquisition, and parallel reaction monitoring. Our data highlight the benefit of top-down proteomics for identifying new small proteins and bottom-up preparation coupled with parallel reaction monitoring acquisition for quantitation of protein levels in different growth conditions. Our systematic comparison can serve as a guideline for MS detection of small proteins in all organisms.</p>\",\"PeriodicalId\":18712,\"journal\":{\"name\":\"Molecular & Cellular Proteomics\",\"volume\":\" \",\"pages\":\"101052\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular & Cellular Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.mcpro.2025.101052\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular & Cellular Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.mcpro.2025.101052","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

尽管小蛋白或微蛋白长期被忽视,但它们在调节较大的蛋白复合物、代谢途径和基因表达方面发挥着重要作用。然而,由于传统质谱工作流程的检测效率低,这些蛋白质在蛋白质组学研究中的代表性仍然不足。它们固有的特性经常导致样品制备过程中的损耗和液相色谱-质谱(LC-MS)的低检测效率。为了提高检测和定量,我们利用大肠杆菌中大量记录的小蛋白,系统地比较和优化了不同的样品制备方法和LC-MS方法。我们评估了不同的自上而下和自下而上的方法,包括数据依赖采集(DDA)、数据独立采集(DIA)和并行反应监测(PRM)。我们的数据突出了自上而下的蛋白质组学鉴定新的小蛋白和自下而上的制备结合PRM获取在不同生长条件下定量蛋白质水平的好处。我们的系统比较可以作为MS检测所有生物中小蛋白的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Quantitation of Small Proteins Using Mass Spectrometry.

Small proteins or microproteins, despite long being ignored, have important roles in the regulation of larger protein complexes, metabolic pathways, and gene expression. However, these proteins remain under-represented in proteomics studies because of low detection efficiency in traditional mass spectrometry (MS) workflows. Their inherent characteristics often lead to depletion during sample preparation and a low detection efficiency in LC-MS. To improve detection and quantitation, we took advantage of the large set of documented small proteins in Escherichia coli and systematically compared and optimized different sample preparation and LC-MS approaches. We evaluated different top-down and bottom-up approaches, including data-dependent acquisition, data-independent acquisition, and parallel reaction monitoring. Our data highlight the benefit of top-down proteomics for identifying new small proteins and bottom-up preparation coupled with parallel reaction monitoring acquisition for quantitation of protein levels in different growth conditions. Our systematic comparison can serve as a guideline for MS detection of small proteins in all organisms.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信