glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data
For glycoproteomic analyses several web tools and standalone software packages have been developed over the recent years. These tools support or replace the time-consuming, cumbersome, and error-prone manual spectra analysis and glycopeptide identification. However, existing software tools are usual...
Gespeichert in:
Veröffentlicht in: | Analytical chemistry (Washington) 2018-10, Vol.90 (20), p.11908 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 20 |
container_start_page | 11908 |
container_title | Analytical chemistry (Washington) |
container_volume | 90 |
creator | Pioch, Markus Hoffmann, Marcus Pralow, Alexander Reichl, Udo Rapp, Erdmann |
description | For glycoproteomic analyses several web tools and standalone software packages have been developed over the recent years. These tools support or replace the time-consuming, cumbersome, and error-prone manual spectra analysis and glycopeptide identification. However, existing software tools are usually tailored to one fragmentation technique and only present the final analysis results. This makes manual inspection and correction of intermediate results difficult or even impossible. We solved this problem by dividing the analysis tasks into modular tools with defined functions, which are executed within a software pipeline with a graphical editor. This gives users a maximum of flexibility and control over the progress of analyses. Here, we present the open-source Python software suite glyXtoolMS, developed for the semiautomated analysis of N- and O-glycopeptide fragmentation data. glyXtoolMS is built around the pipeline engine of OpenMS (TOPPAS) and provides a glycopeptide analysis toolbox for the analysis, interpretation, and visualization of glycopeptide spectra. The toolbox encompasses (a) filtering of fragment spectra using a scoring scheme for oxonium ions, (b) in silico digest of protein sequences to collect glycopeptide candidates, (c) precursor matching to possible glycan compositions and peptide sequences, and finally, (d) an annotation tool for glycopeptide fragment ions. The resulting analysis file can be visualized by the glyXtoolMSEvaluator, enabling further manual analysis, including inspection, verification, and various other options. Using higher-energy collisional dissociation data from human immunoglobulin γ (IgG) and human fibrinogen tryptic digests, we show that glyXtoolMS enables a fast, flexible, and transparent analysis of N- and O-glycopeptide samples, providing the user a versatile tool even for explorative data analysis. glyXtoolMS is freely available online on https://github.com/glyXera/glyXtoolMS licensed under the GPL-3.0 open-source license. The test data are available via ProteomeXchange with identifier PXD009716. |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2125760436</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2125760436</sourcerecordid><originalsourceid>FETCH-proquest_journals_21257604363</originalsourceid><addsrcrecordid>eNqNjT1vwjAQQK0KpIbS_3BS50hnBwJiQ_SDBbVSOjCBrHCpDE7O9TlD_n0z9AcwveXpvQeV6aXBvFyvzURliFjkZoX4qGYiV0StUZeZuv344ZiY_Un6AIfqtIFtB5-BurziPtYEXy6Qdx1BwxEqap3tE7c20WU0rR_ECXADH36oOVBI7kJwsCJQBapT5JZSHODVJjtX08Z6oed_PqmX97fv3T4PkX97knS-jsuxKWejzXJV4qIoi_usPzOjSfw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2125760436</pqid></control><display><type>article</type><title>glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data</title><source>ACS Publications</source><creator>Pioch, Markus ; Hoffmann, Marcus ; Pralow, Alexander ; Reichl, Udo ; Rapp, Erdmann</creator><creatorcontrib>Pioch, Markus ; Hoffmann, Marcus ; Pralow, Alexander ; Reichl, Udo ; Rapp, Erdmann</creatorcontrib><description>For glycoproteomic analyses several web tools and standalone software packages have been developed over the recent years. These tools support or replace the time-consuming, cumbersome, and error-prone manual spectra analysis and glycopeptide identification. However, existing software tools are usually tailored to one fragmentation technique and only present the final analysis results. This makes manual inspection and correction of intermediate results difficult or even impossible. We solved this problem by dividing the analysis tasks into modular tools with defined functions, which are executed within a software pipeline with a graphical editor. This gives users a maximum of flexibility and control over the progress of analyses. Here, we present the open-source Python software suite glyXtoolMS, developed for the semiautomated analysis of N- and O-glycopeptide fragmentation data. glyXtoolMS is built around the pipeline engine of OpenMS (TOPPAS) and provides a glycopeptide analysis toolbox for the analysis, interpretation, and visualization of glycopeptide spectra. The toolbox encompasses (a) filtering of fragment spectra using a scoring scheme for oxonium ions, (b) in silico digest of protein sequences to collect glycopeptide candidates, (c) precursor matching to possible glycan compositions and peptide sequences, and finally, (d) an annotation tool for glycopeptide fragment ions. The resulting analysis file can be visualized by the glyXtoolMSEvaluator, enabling further manual analysis, including inspection, verification, and various other options. Using higher-energy collisional dissociation data from human immunoglobulin γ (IgG) and human fibrinogen tryptic digests, we show that glyXtoolMS enables a fast, flexible, and transparent analysis of N- and O-glycopeptide samples, providing the user a versatile tool even for explorative data analysis. glyXtoolMS is freely available online on https://github.com/glyXera/glyXtoolMS licensed under the GPL-3.0 open-source license. The test data are available via ProteomeXchange with identifier PXD009716.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><language>eng</language><publisher>Washington: American Chemical Society</publisher><subject>Annotations ; Antibiotics ; Chemistry ; Computer programs ; Data analysis ; Data processing ; Energy ; Energy of dissociation ; Error analysis ; Fibrinogen ; Filtration ; Fragmentation ; Glycan ; Immunoglobulin G ; Inspection ; Mass spectrometry ; Mass spectroscopy ; Open source software ; Proteins ; Software ; Software development tools ; Software packages ; Studies ; Visualization</subject><ispartof>Analytical chemistry (Washington), 2018-10, Vol.90 (20), p.11908</ispartof><rights>Copyright American Chemical Society Oct 16, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Pioch, Markus</creatorcontrib><creatorcontrib>Hoffmann, Marcus</creatorcontrib><creatorcontrib>Pralow, Alexander</creatorcontrib><creatorcontrib>Reichl, Udo</creatorcontrib><creatorcontrib>Rapp, Erdmann</creatorcontrib><title>glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data</title><title>Analytical chemistry (Washington)</title><description>For glycoproteomic analyses several web tools and standalone software packages have been developed over the recent years. These tools support or replace the time-consuming, cumbersome, and error-prone manual spectra analysis and glycopeptide identification. However, existing software tools are usually tailored to one fragmentation technique and only present the final analysis results. This makes manual inspection and correction of intermediate results difficult or even impossible. We solved this problem by dividing the analysis tasks into modular tools with defined functions, which are executed within a software pipeline with a graphical editor. This gives users a maximum of flexibility and control over the progress of analyses. Here, we present the open-source Python software suite glyXtoolMS, developed for the semiautomated analysis of N- and O-glycopeptide fragmentation data. glyXtoolMS is built around the pipeline engine of OpenMS (TOPPAS) and provides a glycopeptide analysis toolbox for the analysis, interpretation, and visualization of glycopeptide spectra. The toolbox encompasses (a) filtering of fragment spectra using a scoring scheme for oxonium ions, (b) in silico digest of protein sequences to collect glycopeptide candidates, (c) precursor matching to possible glycan compositions and peptide sequences, and finally, (d) an annotation tool for glycopeptide fragment ions. The resulting analysis file can be visualized by the glyXtoolMSEvaluator, enabling further manual analysis, including inspection, verification, and various other options. Using higher-energy collisional dissociation data from human immunoglobulin γ (IgG) and human fibrinogen tryptic digests, we show that glyXtoolMS enables a fast, flexible, and transparent analysis of N- and O-glycopeptide samples, providing the user a versatile tool even for explorative data analysis. glyXtoolMS is freely available online on https://github.com/glyXera/glyXtoolMS licensed under the GPL-3.0 open-source license. The test data are available via ProteomeXchange with identifier PXD009716.</description><subject>Annotations</subject><subject>Antibiotics</subject><subject>Chemistry</subject><subject>Computer programs</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Energy</subject><subject>Energy of dissociation</subject><subject>Error analysis</subject><subject>Fibrinogen</subject><subject>Filtration</subject><subject>Fragmentation</subject><subject>Glycan</subject><subject>Immunoglobulin G</subject><subject>Inspection</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Open source software</subject><subject>Proteins</subject><subject>Software</subject><subject>Software development tools</subject><subject>Software packages</subject><subject>Studies</subject><subject>Visualization</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNjT1vwjAQQK0KpIbS_3BS50hnBwJiQ_SDBbVSOjCBrHCpDE7O9TlD_n0z9AcwveXpvQeV6aXBvFyvzURliFjkZoX4qGYiV0StUZeZuv344ZiY_Un6AIfqtIFtB5-BurziPtYEXy6Qdx1BwxEqap3tE7c20WU0rR_ECXADH36oOVBI7kJwsCJQBapT5JZSHODVJjtX08Z6oed_PqmX97fv3T4PkX97knS-jsuxKWejzXJV4qIoi_usPzOjSfw</recordid><startdate>20181016</startdate><enddate>20181016</enddate><creator>Pioch, Markus</creator><creator>Hoffmann, Marcus</creator><creator>Pralow, Alexander</creator><creator>Reichl, Udo</creator><creator>Rapp, Erdmann</creator><general>American Chemical Society</general><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></search><sort><creationdate>20181016</creationdate><title>glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data</title><author>Pioch, Markus ; Hoffmann, Marcus ; Pralow, Alexander ; Reichl, Udo ; Rapp, Erdmann</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_21257604363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Annotations</topic><topic>Antibiotics</topic><topic>Chemistry</topic><topic>Computer programs</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Energy</topic><topic>Energy of dissociation</topic><topic>Error analysis</topic><topic>Fibrinogen</topic><topic>Filtration</topic><topic>Fragmentation</topic><topic>Glycan</topic><topic>Immunoglobulin G</topic><topic>Inspection</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Open source software</topic><topic>Proteins</topic><topic>Software</topic><topic>Software development tools</topic><topic>Software packages</topic><topic>Studies</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pioch, Markus</creatorcontrib><creatorcontrib>Hoffmann, Marcus</creatorcontrib><creatorcontrib>Pralow, Alexander</creatorcontrib><creatorcontrib>Reichl, Udo</creatorcontrib><creatorcontrib>Rapp, Erdmann</creatorcontrib><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 & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & 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 & 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><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pioch, Markus</au><au>Hoffmann, Marcus</au><au>Pralow, Alexander</au><au>Reichl, Udo</au><au>Rapp, Erdmann</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data</atitle><jtitle>Analytical chemistry (Washington)</jtitle><date>2018-10-16</date><risdate>2018</risdate><volume>90</volume><issue>20</issue><spage>11908</spage><pages>11908-</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>For glycoproteomic analyses several web tools and standalone software packages have been developed over the recent years. These tools support or replace the time-consuming, cumbersome, and error-prone manual spectra analysis and glycopeptide identification. However, existing software tools are usually tailored to one fragmentation technique and only present the final analysis results. This makes manual inspection and correction of intermediate results difficult or even impossible. We solved this problem by dividing the analysis tasks into modular tools with defined functions, which are executed within a software pipeline with a graphical editor. This gives users a maximum of flexibility and control over the progress of analyses. Here, we present the open-source Python software suite glyXtoolMS, developed for the semiautomated analysis of N- and O-glycopeptide fragmentation data. glyXtoolMS is built around the pipeline engine of OpenMS (TOPPAS) and provides a glycopeptide analysis toolbox for the analysis, interpretation, and visualization of glycopeptide spectra. The toolbox encompasses (a) filtering of fragment spectra using a scoring scheme for oxonium ions, (b) in silico digest of protein sequences to collect glycopeptide candidates, (c) precursor matching to possible glycan compositions and peptide sequences, and finally, (d) an annotation tool for glycopeptide fragment ions. The resulting analysis file can be visualized by the glyXtoolMSEvaluator, enabling further manual analysis, including inspection, verification, and various other options. Using higher-energy collisional dissociation data from human immunoglobulin γ (IgG) and human fibrinogen tryptic digests, we show that glyXtoolMS enables a fast, flexible, and transparent analysis of N- and O-glycopeptide samples, providing the user a versatile tool even for explorative data analysis. glyXtoolMS is freely available online on https://github.com/glyXera/glyXtoolMS licensed under the GPL-3.0 open-source license. The test data are available via ProteomeXchange with identifier PXD009716.</abstract><cop>Washington</cop><pub>American Chemical Society</pub></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0003-2700 |
ispartof | Analytical chemistry (Washington), 2018-10, Vol.90 (20), p.11908 |
issn | 0003-2700 1520-6882 |
language | eng |
recordid | cdi_proquest_journals_2125760436 |
source | ACS Publications |
subjects | Annotations Antibiotics Chemistry Computer programs Data analysis Data processing Energy Energy of dissociation Error analysis Fibrinogen Filtration Fragmentation Glycan Immunoglobulin G Inspection Mass spectrometry Mass spectroscopy Open source software Proteins Software Software development tools Software packages Studies Visualization |
title | glyXtool^sup MS^: An Open-Source Pipeline for Semiautomated Analysis of Glycopeptide Mass Spectrometry Data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T08%3A36%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=glyXtool%5Esup%20MS%5E:%20An%20Open-Source%20Pipeline%20for%20Semiautomated%20Analysis%20of%20Glycopeptide%20Mass%20Spectrometry%20Data&rft.jtitle=Analytical%20chemistry%20(Washington)&rft.au=Pioch,%20Markus&rft.date=2018-10-16&rft.volume=90&rft.issue=20&rft.spage=11908&rft.pages=11908-&rft.issn=0003-2700&rft.eissn=1520-6882&rft_id=info:doi/&rft_dat=%3Cproquest%3E2125760436%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2125760436&rft_id=info:pmid/&rfr_iscdi=true |