Literature DB >> 32125145

In-Source CID Ramping and Covariant Ion Analysis of Hydrophilic Interaction Chromatography Metabolomics.

Xiaoyang Su1,2, Eric Chiles2, Sara Maimouni2,3, Fredric E Wondisford1, Wei-Xing Zong2,3, Chi Song4.   

Abstract

A large proportion of the complexity and redundancy of LC-MS metabolomics data comes from adduct formation. To reduce such redundancy, many tools have been developed to recognize and annotate adduct ions. These tools rely on predefined adduct lists that are generated empirically from reversed-phase LC-MS studies. In addition, hydrophilic interaction chromatography (HILIC) is gaining popularity in metabolomics studies due to its enhanced performance over other methods for polar compounds. HILIC methods typically use high concentrations of buffer salts to improve chromatographic performance. Therefore, it is necessary to analyze adduct formation in HILIC metabolomics. To this end, we developed covariant ion analysis (COVINA) to investigate metabolite adduct formation. Using this tool, we completely annotated 201 adduct and fragment ions from 10 metabolites. Many of the metabolite adduct ions were found to contain cluster ions corresponding to mobile phase additives. We further utilized COVINA to find the major ionized forms of metabolites. Our results show that for some metabolites, the adduct ion signals can be >200-fold higher than the signals from the deprotonated form, offering better sensitivity for targeted metabolomics analysis. Finally, we developed an in-source CID ramping (InCIDR) method to analyze the intensity changes of the adduct and fragment ions from metabolites. Our analysis demonstrates a promising method to distinguish the protonated and deprotonated ions of metabolites from the adduct and fragment ions.

Entities:  

Mesh:

Year:  2020        PMID: 32125145      PMCID: PMC8141260          DOI: 10.1021/acs.analchem.9b04181

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  18 in total

Review 1.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

3.  Robust automated mass spectra interpretation and chemical formula calculation using mixed integer linear programming.

Authors:  Richard Baran; Trent R Northen
Journal:  Anal Chem       Date:  2013-09-27       Impact factor: 6.986

4.  RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data.

Authors:  C D Broeckling; F A Afsar; S Neumann; A Ben-Hur; J E Prenni
Journal:  Anal Chem       Date:  2014-06-26       Impact factor: 6.986

5.  xMSannotator: An R Package for Network-Based Annotation of High-Resolution Metabolomics Data.

Authors:  Karan Uppal; Douglas I Walker; Dean P Jones
Journal:  Anal Chem       Date:  2017-01-04       Impact factor: 6.986

6.  Systems-Level Annotation of a Metabolomics Data Set Reduces 25 000 Features to Fewer than 1000 Unique Metabolites.

Authors:  Nathaniel G Mahieu; Gary J Patti
Journal:  Anal Chem       Date:  2017-09-15       Impact factor: 6.986

7.  Peak Annotation and Verification Engine for Untargeted LC-MS Metabolomics.

Authors:  Lin Wang; Xi Xing; Li Chen; Lifeng Yang; Xiaoyang Su; Herschel Rabitz; Wenyun Lu; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2019-01-10       Impact factor: 6.986

8.  CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets.

Authors:  Carsten Kuhl; Ralf Tautenhahn; Christoph Böttcher; Tony R Larson; Steffen Neumann
Journal:  Anal Chem       Date:  2011-12-12       Impact factor: 6.986

9.  Metabolite profiles and the risk of developing diabetes.

Authors:  Thomas J Wang; Martin G Larson; Ramachandran S Vasan; Susan Cheng; Eugene P Rhee; Elizabeth McCabe; Gregory D Lewis; Caroline S Fox; Paul F Jacques; Céline Fernandez; Christopher J O'Donnell; Stephen A Carr; Vamsi K Mootha; Jose C Florez; Amanda Souza; Olle Melander; Clary B Clish; Robert E Gerszten
Journal:  Nat Med       Date:  2011-03-20       Impact factor: 53.440

10.  Highly sensitive feature detection for high resolution LC/MS.

Authors:  Ralf Tautenhahn; Christoph Böttcher; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2008-11-28       Impact factor: 3.169

View more
  7 in total

1.  Triterpenoid ursolic acid drives metabolic rewiring and epigenetic reprogramming in treatment/prevention of human prostate cancer.

Authors:  Shanyi Li; Renyi Wu; Lujing Wang; Hsiao-Chen Dina Kuo; Davit Sargsyan; Xi Zheng; Yujue Wang; Xiaoyang Su; Ah-Ng Kong
Journal:  Mol Carcinog       Date:  2021-11-02       Impact factor: 4.784

2.  Disruption of the MreB Elongasome Is Overcome by Mutations in the Tricarboxylic Acid Cycle.

Authors:  Brody Barton; Addison Grinnell; Randy M Morgenstein
Journal:  Front Microbiol       Date:  2021-04-23       Impact factor: 5.640

3.  Lactobacillus rhamnosus GG modifies the metabolome of pathobionts in gnotobiotic mice.

Authors:  Jinhee Kim; Iyshwarya Balasubramanian; Sheila Bandyopadhyay; Ian Nadler; Rajbir Singh; Danielle Harlan; Amanda Bumber; Yuling He; Lee J Kerkhof; Nan Gao; Xiaoyang Su; Ronaldo P Ferraris
Journal:  BMC Microbiol       Date:  2021-06-03       Impact factor: 3.605

4.  Metabolomic shifts associated with heat stress in coral holobionts.

Authors:  Amanda Williams; Eric N Chiles; Dennis Conetta; Jananan S Pathmanathan; Phillip A Cleves; Hollie M Putnam; Xiaoyang Su; Debashish Bhattacharya
Journal:  Sci Adv       Date:  2021-01-01       Impact factor: 14.136

5.  Metabolite discovery through global annotation of untargeted metabolomics data.

Authors:  Li Chen; Wenyun Lu; Lin Wang; Xi Xing; Ziyang Chen; Xin Teng; Xianfeng Zeng; Antonio D Muscarella; Yihui Shen; Alexis Cowan; Melanie R McReynolds; Brandon J Kennedy; Ashley M Lato; Shawn R Campagna; Mona Singh; Joshua D Rabinowitz
Journal:  Nat Methods       Date:  2021-10-28       Impact factor: 28.547

6.  Mycobacterium tuberculosis VapC4 toxin engages small ORFs to initiate an integrated oxidative and copper stress response.

Authors:  Valdir C Barth; Unnati Chauhan; Jumei Zeng; Xiaoyang Su; Haiyan Zheng; Robert N Husson; Nancy A Woychik
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

7.  Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput.

Authors:  Evelyn Rampler; Yasin El Abiead; Harald Schoeny; Mate Rusz; Felina Hildebrand; Veronika Fitz; Gunda Koellensperger
Journal:  Anal Chem       Date:  2020-11-28       Impact factor: 6.986

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.