• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

22 种翻译后修饰的肽碰撞截面。

Peptide collision cross sections of 22 post-translational modifications.

机构信息

Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.

Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32304, USA.

出版信息

Anal Bioanal Chem. 2023 Nov;415(27):6633-6645. doi: 10.1007/s00216-023-04957-4. Epub 2023 Sep 28.

DOI:10.1007/s00216-023-04957-4
PMID:37758903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10598134/
Abstract

Recent advances have rekindled the interest in ion mobility as an additional dimension of separation in mass spectrometry (MS)-based proteomics. Ion mobility separates ions according to their size and shape in the gas phase. Here, we set out to investigate the effect of 22 different post-translational modifications (PTMs) on the collision cross section (CCS) of peptides. In total, we analyzed ~4300 pairs of matching modified and unmodified peptide ion species by trapped ion mobility spectrometry (TIMS). Linear alignment based on spike-in reference peptides resulted in highly reproducible CCS values with a median coefficient of variation of 0.26%. On a global level, we observed a redistribution in the m/z vs. ion mobility space for modified peptides upon changes in their charge state. Pairwise comparison between modified and unmodified peptides of the same charge state revealed median shifts in CCS between -1.4% (arginine citrullination) and +4.5% (O-GlcNAcylation). In general, increasing modified peptide masses were correlated with higher CCS values, in particular within homologous PTM series. However, investigating the ion populations in more detail, we found that the change in CCS can vary substantially for a given PTM and is partially correlated with the gas phase structure of its unmodified counterpart. In conclusion, our study shows PTM- and sequence-specific effects on the cross section of peptides, which could be further leveraged for proteome-wide PTM analysis.

摘要

近年来,离子淌度作为质谱(MS)基蛋白质组学中分离的附加维度重新引起了人们的兴趣。离子淌度根据气相中离子的大小和形状对离子进行分离。在这里,我们着手研究 22 种不同的翻译后修饰(PTM)对肽的碰撞截面(CCS)的影响。我们总共通过被困离子淌度谱(TIMS)分析了~4300 对匹配的修饰和未修饰的肽离子对。基于掺入参考肽的线性对齐导致 CCS 值具有高度可重复性,中位数变异系数为 0.26%。在全局水平上,我们观察到在改变其电荷状态时,修饰肽的 m/z 与离子淌度空间之间重新分配。同一电荷状态下修饰肽与未修饰肽的成对比较显示 CCS 的中位数偏移在-1.4%(精氨酸瓜氨酸化)和+4.5%(O-GlcNAc 化)之间。一般来说,增加修饰肽的质量与更高的 CCS 值相关,特别是在同源 PTM 系列中。然而,更详细地研究离子群体,我们发现给定 PTM 的 CCS 变化可以有很大差异,并且部分与未修饰对应物的气相结构相关。总之,我们的研究表明 PTM 和序列特异性对肽的截面有影响,这可以进一步用于全蛋白质组 PTM 分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/b6e6962237a8/216_2023_4957_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/e17fbc178f67/216_2023_4957_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/ac0925ee9d66/216_2023_4957_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/cede7509ca90/216_2023_4957_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/b3c6cec45ea6/216_2023_4957_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/b6e6962237a8/216_2023_4957_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/e17fbc178f67/216_2023_4957_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/ac0925ee9d66/216_2023_4957_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/cede7509ca90/216_2023_4957_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/b3c6cec45ea6/216_2023_4957_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b916/10598134/b6e6962237a8/216_2023_4957_Fig5_HTML.jpg

相似文献

1
Peptide collision cross sections of 22 post-translational modifications.22 种翻译后修饰的肽碰撞截面。
Anal Bioanal Chem. 2023 Nov;415(27):6633-6645. doi: 10.1007/s00216-023-04957-4. Epub 2023 Sep 28.
2
Trapped Ion Mobility Spectrometry and Parallel Accumulation-Serial Fragmentation in Proteomics.离子阱淌度质谱技术及其在蛋白质组学中的平行累积-串联碎裂。
Mol Cell Proteomics. 2021;20:100138. doi: 10.1016/j.mcpro.2021.100138. Epub 2021 Aug 17.
3
Effect of Phosphorylation on the Collision Cross Sections of Peptide Ions in Ion Mobility Spectrometry.磷酸化对离子淌度谱中肽离子碰撞截面的影响。
Mass Spectrom (Tokyo). 2021;10:A0093. doi: 10.5702/massspectrometry.A0093. Epub 2021 Jan 30.
4
A Priori Intrinsic PTM Size Parameters for Predicting the Ion Mobilities of Modified Peptides.用于预测修饰肽离子迁移率的先验内在 PTM 大小参数。
J Am Soc Mass Spectrom. 2017 Feb;28(2):294-302. doi: 10.1007/s13361-016-1553-3. Epub 2016 Dec 14.
5
Evaluation of a Reference-Free Collision Cross Section Calibration Strategy for Proteomics Using SLIM-Based High-Resolution Ion Mobility Spectrometry-Mass Spectrometry.基于 SLIM 的高分辨离子淌度质谱联用技术在蛋白质组学中无参比碰撞截面校准策略的评估。
J Am Soc Mass Spectrom. 2024 Jul 3;35(7):1539-1549. doi: 10.1021/jasms.4c00141. Epub 2024 Jun 12.
6
Deep learning the collisional cross sections of the peptide universe from a million experimental values.从一百万个实验值中深度学习肽宇宙的碰撞截面。
Nat Commun. 2021 Feb 19;12(1):1185. doi: 10.1038/s41467-021-21352-8.
7
Bottom-up Histone Post-translational Modification Analysis using Liquid Chromatography, Trapped Ion Mobility Spectrometry, and Tandem Mass Spectrometry.基于液相色谱、离子淌度谱和串联质谱的组蛋白翻译后修饰的自上而下分析。
J Proteome Res. 2024 Sep 6;23(9):3867-3876. doi: 10.1021/acs.jproteome.4c00177. Epub 2024 Aug 23.
8
A uniform field ion mobility study of melittin and implications of low-field mobility for resolving fine cross-sectional detail in peptide and protein experiments.蜂毒肽的均匀场离子迁移率研究以及低场迁移率对解析肽和蛋白质实验中精细横截面细节的意义。
Proteomics. 2015 Aug;15(16):2862-71. doi: 10.1002/pmic.201400551. Epub 2015 Jun 5.
9
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry.人工神经网络在离子淌度质谱中预测肽漂移时间的应用。
BMC Bioinformatics. 2010 Apr 11;11:182. doi: 10.1186/1471-2105-11-182.
10
Ionmob: a Python package for prediction of peptide collisional cross-section values.Ionmob:用于预测肽段碰撞截面值的 Python 包。
Bioinformatics. 2023 Sep 2;39(9). doi: 10.1093/bioinformatics/btad486.

引用本文的文献

1
Collisional Cross-Section Prediction for Multiconformational Peptide Ions with IM2Deep.使用IM2Deep预测多构象肽离子的碰撞截面
Anal Chem. 2025 Jul 22;97(28):15113-15121. doi: 10.1021/acs.analchem.5c01142. Epub 2025 Jul 8.
2
Rustims: An Open-Source Framework for Rapid Development and Processing of timsTOF Data-Dependent Acquisition Data.Rustims:一个用于快速开发和处理timsTOF数据依赖型采集数据的开源框架。
J Proteome Res. 2025 May 2;24(5):2358-2368. doi: 10.1021/acs.jproteome.4c00966. Epub 2025 Apr 22.
3
TIMSRescore: A Data Dependent Acquisition-Parallel Accumulation and Serial Fragmentation-Optimized Data-Driven Rescoring Pipeline Based on MSRescore.

本文引用的文献

1
Oxonium Ion-Guided Optimization of Ion Mobility-Assisted Glycoproteomics on the timsTOF Pro.锇离子引导的 TIMS-TOF Pro 离子淌度辅助糖蛋白质组学优化
Mol Cell Proteomics. 2023 Feb;22(2):100486. doi: 10.1016/j.mcpro.2022.100486. Epub 2022 Dec 19.
2
AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics.AlphaPeptDeep:用于蛋白质组学的模块化深度学习框架,用于预测肽性质。
Nat Commun. 2022 Nov 24;13(1):7238. doi: 10.1038/s41467-022-34904-3.
3
Ion mobility-resolved phosphoproteomics with dia-PASEF and short gradients.
TIMS重评分:一种基于MSRescore的数据依赖采集-并行累积与串行碎片化优化的数据驱动重评分流程。
J Proteome Res. 2025 Mar 7;24(3):1067-1076. doi: 10.1021/acs.jproteome.4c00609. Epub 2025 Feb 6.
4
Liquid-phase separations coupled with ion mobility-mass spectrometry for next-generation biopharmaceutical analysis.液相反相分离与离子淌度-质谱联用在新一代生物制药分析中的应用。
Expert Rev Proteomics. 2024 May-Jun;21(5-6):259-270. doi: 10.1080/14789450.2024.2373707. Epub 2024 Jul 1.
5
Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF.片段离子强度预测可提高 timsTOF 中非胰蛋白酶肽的鉴定率。
Nat Commun. 2024 May 10;15(1):3956. doi: 10.1038/s41467-024-48322-0.
6
Proteomics-The State of the Field: The Definition and Analysis of Proteomes Should Be Based in Reality, Not Convenience.蛋白质组学——该领域现状:蛋白质组的定义与分析应以实际情况为依据,而非便利性。
Proteomes. 2024 Apr 19;12(2):14. doi: 10.3390/proteomes12020014.
采用dia-PASEF和短梯度的离子淌度分辨磷酸化蛋白质组学
Proteomics. 2023 Apr;23(7-8):e2200032. doi: 10.1002/pmic.202200032. Epub 2022 Nov 14.
4
Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF.采用深文库和最优窗口设计进行 dia-PASEF,快速深入地覆盖(磷酸化)蛋白质组。
Mol Cell Proteomics. 2022 Sep;21(9):100279. doi: 10.1016/j.mcpro.2022.100279. Epub 2022 Aug 6.
5
Tandem Trapped Ion Mobility Spectrometry/Mass Spectrometry (tTIMS/MS) Reveals Sequence-Specific Determinants of Top-Down Protein Fragment Ion Cross Sections.串联囚禁离子淌度谱/质谱(tTIMS/MS)揭示了从头至尾蛋白片段离子截面的序列特异性决定因素。
Anal Chem. 2022 Jun 14;94(23):8146-8155. doi: 10.1021/acs.analchem.1c05171. Epub 2022 May 27.
6
Deep learning neural network tools for proteomics.深度学习神经网络工具在蛋白质组学中的应用。
Cell Rep Methods. 2021 May 17;1(2):100003. doi: 10.1016/j.crmeth.2021.100003. eCollection 2021 Jun 21.
7
Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences.基于位置的 SHAP 值(PoSHAP)可用于解释基于生物序列训练的机器学习模型。
PLoS Comput Biol. 2022 Jan 28;18(1):e1009736. doi: 10.1371/journal.pcbi.1009736. eCollection 2022 Jan.
8
The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.PRIDE 数据库资源在 2022 年:一个基于质谱的蛋白质组学证据的中心。
Nucleic Acids Res. 2022 Jan 7;50(D1):D543-D552. doi: 10.1093/nar/gkab1038.
9
Trapped Ion Mobility Spectrometry and Parallel Accumulation-Serial Fragmentation in Proteomics.离子阱淌度质谱技术及其在蛋白质组学中的平行累积-串联碎裂。
Mol Cell Proteomics. 2021;20:100138. doi: 10.1016/j.mcpro.2021.100138. Epub 2021 Aug 17.
10
Artificial intelligence for proteomics and biomarker discovery.用于蛋白质组学和生物标志物发现的人工智能
Cell Syst. 2021 Aug 18;12(8):759-770. doi: 10.1016/j.cels.2021.06.006.