Loading…

GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy

Accurate identification of glycan structures is highly desirable as they are intimately linked to their different functions. However, glycan samples generally exist as mixtures with multiple isomeric structures, making assignment of individual glycan components very challenging, even with the aid of...

Full description

Saved in:
Bibliographic Details
Published in:Analytical chemistry (Washington) 2023-01, Vol.95 (2), p.811-819
Main Authors: Huang, Chuncui, Hou, Meijie, Yan, Jingyu, Wang, Hui, Wang, Yu, Cao, Cuiyan, Wang, Yaojun, Gao, Huanyu, Ma, Xinyue, Zheng, Yi, Bu, Dongbo, Chai, Wengang, Li, Yan, Sun, Shiwei
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-a426t-1aec1d6be69833caff2cc58a2162d68d596d7e9c789a3209cf5aec65a91f2b5d3
container_end_page 819
container_issue 2
container_start_page 811
container_title Analytical chemistry (Washington)
container_volume 95
creator Huang, Chuncui
Hou, Meijie
Yan, Jingyu
Wang, Hui
Wang, Yu
Cao, Cuiyan
Wang, Yaojun
Gao, Huanyu
Ma, Xinyue
Zheng, Yi
Bu, Dongbo
Chai, Wengang
Li, Yan
Sun, Shiwei
description Accurate identification of glycan structures is highly desirable as they are intimately linked to their different functions. However, glycan samples generally exist as mixtures with multiple isomeric structures, making assignment of individual glycan components very challenging, even with the aid of multistage mass spectrometry (MSn). Here, we present an approach, GIPS-mix, for assignment of isomeric glycans within a mixture using an intelligent group-opting strategy. Our approach enumerates all possible combinations (groupings) of candidate glycans and opts in the best-matched glycan group(s) based on the similarity between the simulated spectra of each glycan group and the acquired experimental spectra of the mixture. In the case that a single group could not be elected, a tie break is performed by additional MSn scanning using intelligently selected precursors. With 11 standard mixtures and 6 human milk oligosaccharide fractions, we demonstrate the application of GIPS-mix in assignment of individual glycans in mixtures with high accuracy and efficiency.
doi_str_mv 10.1021/acs.analchem.2c02978
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9850354</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2767241176</sourcerecordid><originalsourceid>FETCH-LOGICAL-a426t-1aec1d6be69833caff2cc58a2162d68d596d7e9c789a3209cf5aec65a91f2b5d3</originalsourceid><addsrcrecordid>eNp9kU9rFDEYh4Modq1-A5GAFy-zJpnJv4tQFl0HKhVqzyGbSbYpM8mYzBT325tht4t68JTD-_x-eV8eAN5itMaI4I_a5LUOujf3dlgTg4jk4hlYYUpQxYQgz8EKIVRXhCN0AV7l_IAQxgizl-CiZrThtWxW4HHbfr-tvvlf0MUEr4yZk54sbDsbJu-80ZOPAUYH2xwHm7yBmziMMZRxhj7AbX8wOsBSMM3JZniXfdjDNky27_2-UHCb4jxWN-O0DG6npX5_eA1eON1n--b0XoK7L59_bL5W1zfbdnN1XemGsKnC2hrcsZ1lUtS10c4RY6jQBDPSMdFRyTpupeFC6pogaRwtCUa1xI7saFdfgk_H3nHeDbYzZaGkezUmP-h0UFF79fck-Hu1j49KCopq2pSCD6eCFH_ONk9q8NmU43Swcc6KcMoRbRAXBX3_D_oQ51QMLRTjpMGYs0I1R8qkmHOy7rwMRmoRq4pY9SRWncSW2Ls_DzmHnkwWAB2BJX7--L-dvwFgbLVJ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2767241176</pqid></control><display><type>article</type><title>GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy</title><source>American Chemical Society:Jisc Collections:American Chemical Society Read &amp; Publish Agreement 2022-2024 (Reading list)</source><creator>Huang, Chuncui ; Hou, Meijie ; Yan, Jingyu ; Wang, Hui ; Wang, Yu ; Cao, Cuiyan ; Wang, Yaojun ; Gao, Huanyu ; Ma, Xinyue ; Zheng, Yi ; Bu, Dongbo ; Chai, Wengang ; Li, Yan ; Sun, Shiwei</creator><creatorcontrib>Huang, Chuncui ; Hou, Meijie ; Yan, Jingyu ; Wang, Hui ; Wang, Yu ; Cao, Cuiyan ; Wang, Yaojun ; Gao, Huanyu ; Ma, Xinyue ; Zheng, Yi ; Bu, Dongbo ; Chai, Wengang ; Li, Yan ; Sun, Shiwei</creatorcontrib><description>Accurate identification of glycan structures is highly desirable as they are intimately linked to their different functions. However, glycan samples generally exist as mixtures with multiple isomeric structures, making assignment of individual glycan components very challenging, even with the aid of multistage mass spectrometry (MSn). Here, we present an approach, GIPS-mix, for assignment of isomeric glycans within a mixture using an intelligent group-opting strategy. Our approach enumerates all possible combinations (groupings) of candidate glycans and opts in the best-matched glycan group(s) based on the similarity between the simulated spectra of each glycan group and the acquired experimental spectra of the mixture. In the case that a single group could not be elected, a tie break is performed by additional MSn scanning using intelligently selected precursors. With 11 standard mixtures and 6 human milk oligosaccharide fractions, we demonstrate the application of GIPS-mix in assignment of individual glycans in mixtures with high accuracy and efficiency.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.2c02978</identifier><identifier>PMID: 36547394</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Breast milk ; Chemistry ; Glycan ; Humans ; Isomerism ; Mass spectrometry ; Mass spectroscopy ; Milk, Human - chemistry ; Mixtures ; Oligosaccharides ; Oligosaccharides - analysis ; Polysaccharides ; Polysaccharides - chemistry ; Spectra</subject><ispartof>Analytical chemistry (Washington), 2023-01, Vol.95 (2), p.811-819</ispartof><rights>2022 The Authors. Published by American Chemical Society</rights><rights>Copyright American Chemical Society Jan 17, 2023</rights><rights>2022 The Authors. Published by American Chemical Society 2022 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a426t-1aec1d6be69833caff2cc58a2162d68d596d7e9c789a3209cf5aec65a91f2b5d3</cites><orcidid>0000-0002-0713-3186 ; 0000-0003-2977-5347</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36547394$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Chuncui</creatorcontrib><creatorcontrib>Hou, Meijie</creatorcontrib><creatorcontrib>Yan, Jingyu</creatorcontrib><creatorcontrib>Wang, Hui</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Cao, Cuiyan</creatorcontrib><creatorcontrib>Wang, Yaojun</creatorcontrib><creatorcontrib>Gao, Huanyu</creatorcontrib><creatorcontrib>Ma, Xinyue</creatorcontrib><creatorcontrib>Zheng, Yi</creatorcontrib><creatorcontrib>Bu, Dongbo</creatorcontrib><creatorcontrib>Chai, Wengang</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Sun, Shiwei</creatorcontrib><title>GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>Accurate identification of glycan structures is highly desirable as they are intimately linked to their different functions. However, glycan samples generally exist as mixtures with multiple isomeric structures, making assignment of individual glycan components very challenging, even with the aid of multistage mass spectrometry (MSn). Here, we present an approach, GIPS-mix, for assignment of isomeric glycans within a mixture using an intelligent group-opting strategy. Our approach enumerates all possible combinations (groupings) of candidate glycans and opts in the best-matched glycan group(s) based on the similarity between the simulated spectra of each glycan group and the acquired experimental spectra of the mixture. In the case that a single group could not be elected, a tie break is performed by additional MSn scanning using intelligently selected precursors. With 11 standard mixtures and 6 human milk oligosaccharide fractions, we demonstrate the application of GIPS-mix in assignment of individual glycans in mixtures with high accuracy and efficiency.</description><subject>Breast milk</subject><subject>Chemistry</subject><subject>Glycan</subject><subject>Humans</subject><subject>Isomerism</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Milk, Human - chemistry</subject><subject>Mixtures</subject><subject>Oligosaccharides</subject><subject>Oligosaccharides - analysis</subject><subject>Polysaccharides</subject><subject>Polysaccharides - chemistry</subject><subject>Spectra</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kU9rFDEYh4Modq1-A5GAFy-zJpnJv4tQFl0HKhVqzyGbSbYpM8mYzBT325tht4t68JTD-_x-eV8eAN5itMaI4I_a5LUOujf3dlgTg4jk4hlYYUpQxYQgz8EKIVRXhCN0AV7l_IAQxgizl-CiZrThtWxW4HHbfr-tvvlf0MUEr4yZk54sbDsbJu-80ZOPAUYH2xwHm7yBmziMMZRxhj7AbX8wOsBSMM3JZniXfdjDNky27_2-UHCb4jxWN-O0DG6npX5_eA1eON1n--b0XoK7L59_bL5W1zfbdnN1XemGsKnC2hrcsZ1lUtS10c4RY6jQBDPSMdFRyTpupeFC6pogaRwtCUa1xI7saFdfgk_H3nHeDbYzZaGkezUmP-h0UFF79fck-Hu1j49KCopq2pSCD6eCFH_ONk9q8NmU43Swcc6KcMoRbRAXBX3_D_oQ51QMLRTjpMGYs0I1R8qkmHOy7rwMRmoRq4pY9SRWncSW2Ls_DzmHnkwWAB2BJX7--L-dvwFgbLVJ</recordid><startdate>20230117</startdate><enddate>20230117</enddate><creator>Huang, Chuncui</creator><creator>Hou, Meijie</creator><creator>Yan, Jingyu</creator><creator>Wang, Hui</creator><creator>Wang, Yu</creator><creator>Cao, Cuiyan</creator><creator>Wang, Yaojun</creator><creator>Gao, Huanyu</creator><creator>Ma, Xinyue</creator><creator>Zheng, Yi</creator><creator>Bu, Dongbo</creator><creator>Chai, Wengang</creator><creator>Li, Yan</creator><creator>Sun, Shiwei</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0713-3186</orcidid><orcidid>https://orcid.org/0000-0003-2977-5347</orcidid></search><sort><creationdate>20230117</creationdate><title>GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy</title><author>Huang, Chuncui ; Hou, Meijie ; Yan, Jingyu ; Wang, Hui ; Wang, Yu ; Cao, Cuiyan ; Wang, Yaojun ; Gao, Huanyu ; Ma, Xinyue ; Zheng, Yi ; Bu, Dongbo ; Chai, Wengang ; Li, Yan ; Sun, Shiwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a426t-1aec1d6be69833caff2cc58a2162d68d596d7e9c789a3209cf5aec65a91f2b5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breast milk</topic><topic>Chemistry</topic><topic>Glycan</topic><topic>Humans</topic><topic>Isomerism</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Milk, Human - chemistry</topic><topic>Mixtures</topic><topic>Oligosaccharides</topic><topic>Oligosaccharides - analysis</topic><topic>Polysaccharides</topic><topic>Polysaccharides - chemistry</topic><topic>Spectra</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Chuncui</creatorcontrib><creatorcontrib>Hou, Meijie</creatorcontrib><creatorcontrib>Yan, Jingyu</creatorcontrib><creatorcontrib>Wang, Hui</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Cao, Cuiyan</creatorcontrib><creatorcontrib>Wang, Yaojun</creatorcontrib><creatorcontrib>Gao, Huanyu</creatorcontrib><creatorcontrib>Ma, Xinyue</creatorcontrib><creatorcontrib>Zheng, Yi</creatorcontrib><creatorcontrib>Bu, Dongbo</creatorcontrib><creatorcontrib>Chai, Wengang</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Sun, Shiwei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Chuncui</au><au>Hou, Meijie</au><au>Yan, Jingyu</au><au>Wang, Hui</au><au>Wang, Yu</au><au>Cao, Cuiyan</au><au>Wang, Yaojun</au><au>Gao, Huanyu</au><au>Ma, Xinyue</au><au>Zheng, Yi</au><au>Bu, Dongbo</au><au>Chai, Wengang</au><au>Li, Yan</au><au>Sun, Shiwei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2023-01-17</date><risdate>2023</risdate><volume>95</volume><issue>2</issue><spage>811</spage><epage>819</epage><pages>811-819</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>Accurate identification of glycan structures is highly desirable as they are intimately linked to their different functions. However, glycan samples generally exist as mixtures with multiple isomeric structures, making assignment of individual glycan components very challenging, even with the aid of multistage mass spectrometry (MSn). Here, we present an approach, GIPS-mix, for assignment of isomeric glycans within a mixture using an intelligent group-opting strategy. Our approach enumerates all possible combinations (groupings) of candidate glycans and opts in the best-matched glycan group(s) based on the similarity between the simulated spectra of each glycan group and the acquired experimental spectra of the mixture. In the case that a single group could not be elected, a tie break is performed by additional MSn scanning using intelligently selected precursors. With 11 standard mixtures and 6 human milk oligosaccharide fractions, we demonstrate the application of GIPS-mix in assignment of individual glycans in mixtures with high accuracy and efficiency.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>36547394</pmid><doi>10.1021/acs.analchem.2c02978</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0713-3186</orcidid><orcidid>https://orcid.org/0000-0003-2977-5347</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0003-2700
ispartof Analytical chemistry (Washington), 2023-01, Vol.95 (2), p.811-819
issn 0003-2700
1520-6882
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9850354
source American Chemical Society:Jisc Collections:American Chemical Society Read & Publish Agreement 2022-2024 (Reading list)
subjects Breast milk
Chemistry
Glycan
Humans
Isomerism
Mass spectrometry
Mass spectroscopy
Milk, Human - chemistry
Mixtures
Oligosaccharides
Oligosaccharides - analysis
Polysaccharides
Polysaccharides - chemistry
Spectra
title GIPS-Mix for Accurate Identification of Isomeric Components in Glycan Mixtures Using Intelligent Group-Opting Strategy
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A13%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=GIPS-Mix%20for%20Accurate%20Identification%20of%20Isomeric%20Components%20in%20Glycan%20Mixtures%20Using%20Intelligent%20Group-Opting%20Strategy&rft.jtitle=Analytical%20chemistry%20(Washington)&rft.au=Huang,%20Chuncui&rft.date=2023-01-17&rft.volume=95&rft.issue=2&rft.spage=811&rft.epage=819&rft.pages=811-819&rft.issn=0003-2700&rft.eissn=1520-6882&rft_id=info:doi/10.1021/acs.analchem.2c02978&rft_dat=%3Cproquest_pubme%3E2767241176%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a426t-1aec1d6be69833caff2cc58a2162d68d596d7e9c789a3209cf5aec65a91f2b5d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2767241176&rft_id=info:pmid/36547394&rfr_iscdi=true