改进的大肠杆菌代谢13C代谢通量分析:应用高分辨率质谱(GC-EI-QTOF)对MS/MS片段进行综合评估。

IF 3.2 4区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Chris Richter, Eva Grafahrend-Belau, Jörg Ziegler, Manish L Raorane, Björn H Junker
{"title":"改进的大肠杆菌代谢13C代谢通量分析:应用高分辨率质谱(GC-EI-QTOF)对MS/MS片段进行综合评估。","authors":"Chris Richter, Eva Grafahrend-Belau, Jörg Ziegler, Manish L Raorane, Björn H Junker","doi":"10.1093/jimb/kuad039","DOIUrl":null,"url":null,"abstract":"<p><p>Gas chromatography-tandem mass spectrometry with electron ionization (GC-EI-MS/MS) provides rich information on stable-isotope labeling for 13C-metabolic flux analysis (13C-MFA). To pave the way for the routine application of tandem MS data for metabolic flux quantification, we aimed to compile a comprehensive library of GC-EI-MS/MS fragments of tert-butyldimethylsilyl (TBDMS) derivatized proteinogenic amino acids. First, we established an analytical workflow that combines high-resolution gas chromatography-quadrupole time-of-flight mass spectrometry and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments. Application of the high-mass accuracy MS procedure resulted into the identification of 129 validated precursor-product ion pairs of 13 amino acids with 30 fragments being accepted for 13C-MFA. The practical benefit of the novel tandem MS data was demonstrated by a proof-of-concept study, which confirmed the importance of the compiled library for high-resolution 13C-MFA.</p><p><strong>One sentence summary: </strong>An analytical workflow that combines high-resolution mass spectrometry (MS) and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments, which provide positional information and therefore offering significant advantages over traditional MS to improve 13C-metabolic flux analysis.</p>","PeriodicalId":16092,"journal":{"name":"Journal of Industrial Microbiology & Biotechnology","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10716738/pdf/","citationCount":"0","resultStr":"{\"title\":\"Improved 13C metabolic flux analysis in Escherichia coli metabolism: application of a high-resolution MS (GC-EI-QTOF) for comprehensive assessment of MS/MS fragments.\",\"authors\":\"Chris Richter, Eva Grafahrend-Belau, Jörg Ziegler, Manish L Raorane, Björn H Junker\",\"doi\":\"10.1093/jimb/kuad039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Gas chromatography-tandem mass spectrometry with electron ionization (GC-EI-MS/MS) provides rich information on stable-isotope labeling for 13C-metabolic flux analysis (13C-MFA). To pave the way for the routine application of tandem MS data for metabolic flux quantification, we aimed to compile a comprehensive library of GC-EI-MS/MS fragments of tert-butyldimethylsilyl (TBDMS) derivatized proteinogenic amino acids. First, we established an analytical workflow that combines high-resolution gas chromatography-quadrupole time-of-flight mass spectrometry and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments. Application of the high-mass accuracy MS procedure resulted into the identification of 129 validated precursor-product ion pairs of 13 amino acids with 30 fragments being accepted for 13C-MFA. The practical benefit of the novel tandem MS data was demonstrated by a proof-of-concept study, which confirmed the importance of the compiled library for high-resolution 13C-MFA.</p><p><strong>One sentence summary: </strong>An analytical workflow that combines high-resolution mass spectrometry (MS) and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments, which provide positional information and therefore offering significant advantages over traditional MS to improve 13C-metabolic flux analysis.</p>\",\"PeriodicalId\":16092,\"journal\":{\"name\":\"Journal of Industrial Microbiology & Biotechnology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10716738/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Industrial Microbiology & Biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1093/jimb/kuad039\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Microbiology & Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/jimb/kuad039","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

气相色谱-电子电离串联质谱(GC-EI-MS/MS)为13c代谢通量分析(13C-MFA)的稳定同位素标记提供了丰富的信息。为了为串联质谱数据在代谢通量定量中的常规应用铺平道路,我们旨在建立一个全面的叔丁基二甲基硅基(TBDMS)衍生蛋白氨基酸的GC-EI-MS/MS片段文库。首先,我们建立了一个结合高分辨率气相色谱-四极杆飞行时间质谱(GC-EI-QTOFMS)和全13c标记生物量的分析工作流程,以鉴定和结构阐明串联质谱氨基酸片段。应用高质量精度的质谱方法鉴定了13个氨基酸的129个有效的前体产物离子对,其中30个片段被接受为13C-MFA。一项概念验证研究证明了新型串联质谱数据的实际效益,该研究证实了编译库对高分辨率13C-MFA的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved 13C metabolic flux analysis in Escherichia coli metabolism: application of a high-resolution MS (GC-EI-QTOF) for comprehensive assessment of MS/MS fragments.

Gas chromatography-tandem mass spectrometry with electron ionization (GC-EI-MS/MS) provides rich information on stable-isotope labeling for 13C-metabolic flux analysis (13C-MFA). To pave the way for the routine application of tandem MS data for metabolic flux quantification, we aimed to compile a comprehensive library of GC-EI-MS/MS fragments of tert-butyldimethylsilyl (TBDMS) derivatized proteinogenic amino acids. First, we established an analytical workflow that combines high-resolution gas chromatography-quadrupole time-of-flight mass spectrometry and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments. Application of the high-mass accuracy MS procedure resulted into the identification of 129 validated precursor-product ion pairs of 13 amino acids with 30 fragments being accepted for 13C-MFA. The practical benefit of the novel tandem MS data was demonstrated by a proof-of-concept study, which confirmed the importance of the compiled library for high-resolution 13C-MFA.

One sentence summary: An analytical workflow that combines high-resolution mass spectrometry (MS) and fully 13C-labeled biomass to identify and structurally elucidate tandem MS amino acid fragments, which provide positional information and therefore offering significant advantages over traditional MS to improve 13C-metabolic flux analysis.

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
Journal of Industrial Microbiology & Biotechnology
Journal of Industrial Microbiology & Biotechnology 工程技术-生物工程与应用微生物
CiteScore
7.70
自引率
0.00%
发文量
25
审稿时长
3 months
期刊介绍: The Journal of Industrial Microbiology and Biotechnology is an international journal which publishes papers describing original research, short communications, and critical reviews in the fields of biotechnology, fermentation and cell culture, biocatalysis, environmental microbiology, natural products discovery and biosynthesis, marine natural products, metabolic engineering, genomics, bioinformatics, food microbiology, and other areas of applied microbiology
×
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:481959085
Book学术官方微信