Loading…

Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification

Label-free quantification is a powerful tool for the measurement of protein abundances by mass spectrometric methods. To maximize quantifiable identifications, MS1-based methods must balance the collection of survey scans and fragmentation spectra while maintaining reproducible extracted ion chromat...

Full description

Saved in:
Bibliographic Details
Published in:Analytical chemistry (Washington) 2013-03, Vol.85 (5), p.2825
Main Authors: Vincent, Catherine E, Potts, Gregory K, Ulbrich, Arne, Westphall, Michael S, Atwood, James A, Coon, Joshua J, Weatherly, D Brent
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 5
container_start_page 2825
container_title Analytical chemistry (Washington)
container_volume 85
creator Vincent, Catherine E
Potts, Gregory K
Ulbrich, Arne
Westphall, Michael S
Atwood, James A
Coon, Joshua J
Weatherly, D Brent
description Label-free quantification is a powerful tool for the measurement of protein abundances by mass spectrometric methods. To maximize quantifiable identifications, MS1-based methods must balance the collection of survey scans and fragmentation spectra while maintaining reproducible extracted ion chromatograms (XIC). Here we present a method which increases the depth of proteome coverage over replicate data-dependent experiments without the requirement of additional instrument time or sample prefractionation. Sampling depth is increased by restricting precursor selection to a fraction of the full MS1 mass range for each replicate; collectively, the m/z segments of all replicates encompass the full MS1 range. Although selection windows are narrowed, full MS1 spectra are obtained throughout the method, enabling the collection of full mass range MS1 chromatograms such that label-free quantitation can be performed for any peptide in any experiment. We term this approach "binning" or "tiling" depending on the type of m/z window utilized. By combining the data obtained from each segment, we find that this approach increases the number of quantifiable yeast peptides and proteins by 31% and 52%, respectively, when compared to normal data-dependent experiments performed in replicate. [PUBLICATION ABSTRACT]
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_1314998751</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2910265841</sourcerecordid><originalsourceid>FETCH-proquest_journals_13149987513</originalsourceid><addsrcrecordid>eNqNjcFOwkAURSdGEyv6Dy-4nuRNK7RdioFIggkCbiFj-1qHlJk6r_MXfrQjceHS1Vnck3MvRKImKcppUaSXIkHETKY54rW4YT4iKoVqmoivLbUnsoMejLPgGlh7qoJn5-FFM8NG25bgjY1tYbwzXeQYHvveO119wNJWnjQTw5r6wdQEyzrGTGOqc5Ch-Qlt9xx6UHs5i24NK_1OnVx4IngN-o9-K64a3THd_XIk7hfz3dOzjHefgXg4HF3wNk4HlamHsizyicr-Z30D-pVVaQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1314998751</pqid></control><display><type>article</type><title>Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification</title><source>American Chemical Society:Jisc Collections:American Chemical Society Read &amp; Publish Agreement 2022-2024 (Reading list)</source><creator>Vincent, Catherine E ; Potts, Gregory K ; Ulbrich, Arne ; Westphall, Michael S ; Atwood, James A ; Coon, Joshua J ; Weatherly, D Brent</creator><creatorcontrib>Vincent, Catherine E ; Potts, Gregory K ; Ulbrich, Arne ; Westphall, Michael S ; Atwood, James A ; Coon, Joshua J ; Weatherly, D Brent</creatorcontrib><description>Label-free quantification is a powerful tool for the measurement of protein abundances by mass spectrometric methods. To maximize quantifiable identifications, MS1-based methods must balance the collection of survey scans and fragmentation spectra while maintaining reproducible extracted ion chromatograms (XIC). Here we present a method which increases the depth of proteome coverage over replicate data-dependent experiments without the requirement of additional instrument time or sample prefractionation. Sampling depth is increased by restricting precursor selection to a fraction of the full MS1 mass range for each replicate; collectively, the m/z segments of all replicates encompass the full MS1 range. Although selection windows are narrowed, full MS1 spectra are obtained throughout the method, enabling the collection of full mass range MS1 chromatograms such that label-free quantitation can be performed for any peptide in any experiment. We term this approach "binning" or "tiling" depending on the type of m/z window utilized. By combining the data obtained from each segment, we find that this approach increases the number of quantifiable yeast peptides and proteins by 31% and 52%, respectively, when compared to normal data-dependent experiments performed in replicate. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>CODEN: ANCHAM</identifier><language>eng</language><publisher>Washington: American Chemical Society</publisher><subject>Analytical chemistry ; Ion chromatography ; Mass spectrometry ; Peptides ; Proteomics ; Yeast</subject><ispartof>Analytical chemistry (Washington), 2013-03, Vol.85 (5), p.2825</ispartof><rights>Copyright American Chemical Society Mar 5, 2013</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>Vincent, Catherine E</creatorcontrib><creatorcontrib>Potts, Gregory K</creatorcontrib><creatorcontrib>Ulbrich, Arne</creatorcontrib><creatorcontrib>Westphall, Michael S</creatorcontrib><creatorcontrib>Atwood, James A</creatorcontrib><creatorcontrib>Coon, Joshua J</creatorcontrib><creatorcontrib>Weatherly, D Brent</creatorcontrib><title>Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification</title><title>Analytical chemistry (Washington)</title><description>Label-free quantification is a powerful tool for the measurement of protein abundances by mass spectrometric methods. To maximize quantifiable identifications, MS1-based methods must balance the collection of survey scans and fragmentation spectra while maintaining reproducible extracted ion chromatograms (XIC). Here we present a method which increases the depth of proteome coverage over replicate data-dependent experiments without the requirement of additional instrument time or sample prefractionation. Sampling depth is increased by restricting precursor selection to a fraction of the full MS1 mass range for each replicate; collectively, the m/z segments of all replicates encompass the full MS1 range. Although selection windows are narrowed, full MS1 spectra are obtained throughout the method, enabling the collection of full mass range MS1 chromatograms such that label-free quantitation can be performed for any peptide in any experiment. We term this approach "binning" or "tiling" depending on the type of m/z window utilized. By combining the data obtained from each segment, we find that this approach increases the number of quantifiable yeast peptides and proteins by 31% and 52%, respectively, when compared to normal data-dependent experiments performed in replicate. [PUBLICATION ABSTRACT]</description><subject>Analytical chemistry</subject><subject>Ion chromatography</subject><subject>Mass spectrometry</subject><subject>Peptides</subject><subject>Proteomics</subject><subject>Yeast</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNjcFOwkAURSdGEyv6Dy-4nuRNK7RdioFIggkCbiFj-1qHlJk6r_MXfrQjceHS1Vnck3MvRKImKcppUaSXIkHETKY54rW4YT4iKoVqmoivLbUnsoMejLPgGlh7qoJn5-FFM8NG25bgjY1tYbwzXeQYHvveO119wNJWnjQTw5r6wdQEyzrGTGOqc5Ch-Qlt9xx6UHs5i24NK_1OnVx4IngN-o9-K64a3THd_XIk7hfz3dOzjHefgXg4HF3wNk4HlamHsizyicr-Z30D-pVVaQ</recordid><startdate>20130305</startdate><enddate>20130305</enddate><creator>Vincent, Catherine E</creator><creator>Potts, Gregory K</creator><creator>Ulbrich, Arne</creator><creator>Westphall, Michael S</creator><creator>Atwood, James A</creator><creator>Coon, Joshua J</creator><creator>Weatherly, D Brent</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>20130305</creationdate><title>Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification</title><author>Vincent, Catherine E ; Potts, Gregory K ; Ulbrich, Arne ; Westphall, Michael S ; Atwood, James A ; Coon, Joshua J ; Weatherly, D Brent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_13149987513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Analytical chemistry</topic><topic>Ion chromatography</topic><topic>Mass spectrometry</topic><topic>Peptides</topic><topic>Proteomics</topic><topic>Yeast</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vincent, Catherine E</creatorcontrib><creatorcontrib>Potts, Gregory K</creatorcontrib><creatorcontrib>Ulbrich, Arne</creatorcontrib><creatorcontrib>Westphall, Michael S</creatorcontrib><creatorcontrib>Atwood, James A</creatorcontrib><creatorcontrib>Coon, Joshua J</creatorcontrib><creatorcontrib>Weatherly, D Brent</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 &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><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vincent, Catherine E</au><au>Potts, Gregory K</au><au>Ulbrich, Arne</au><au>Westphall, Michael S</au><au>Atwood, James A</au><au>Coon, Joshua J</au><au>Weatherly, D Brent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification</atitle><jtitle>Analytical chemistry (Washington)</jtitle><date>2013-03-05</date><risdate>2013</risdate><volume>85</volume><issue>5</issue><spage>2825</spage><pages>2825-</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><abstract>Label-free quantification is a powerful tool for the measurement of protein abundances by mass spectrometric methods. To maximize quantifiable identifications, MS1-based methods must balance the collection of survey scans and fragmentation spectra while maintaining reproducible extracted ion chromatograms (XIC). Here we present a method which increases the depth of proteome coverage over replicate data-dependent experiments without the requirement of additional instrument time or sample prefractionation. Sampling depth is increased by restricting precursor selection to a fraction of the full MS1 mass range for each replicate; collectively, the m/z segments of all replicates encompass the full MS1 range. Although selection windows are narrowed, full MS1 spectra are obtained throughout the method, enabling the collection of full mass range MS1 chromatograms such that label-free quantitation can be performed for any peptide in any experiment. We term this approach "binning" or "tiling" depending on the type of m/z window utilized. By combining the data obtained from each segment, we find that this approach increases the number of quantifiable yeast peptides and proteins by 31% and 52%, respectively, when compared to normal data-dependent experiments performed in replicate. [PUBLICATION ABSTRACT]</abstract><cop>Washington</cop><pub>American Chemical Society</pub></addata></record>
fulltext fulltext
identifier ISSN: 0003-2700
ispartof Analytical chemistry (Washington), 2013-03, Vol.85 (5), p.2825
issn 0003-2700
1520-6882
language eng
recordid cdi_proquest_journals_1314998751
source American Chemical Society:Jisc Collections:American Chemical Society Read & Publish Agreement 2022-2024 (Reading list)
subjects Analytical chemistry
Ion chromatography
Mass spectrometry
Peptides
Proteomics
Yeast
title Segmentation of Precursor Mass Range Using "Tiling" Approach Increases Peptide Identifications for MS^sup 1^-Based Label-Free Quantification
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T07%3A14%3A08IST&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=Segmentation%20of%20Precursor%20Mass%20Range%20Using%20%22Tiling%22%20Approach%20Increases%20Peptide%20Identifications%20for%20MS%5Esup%201%5E-Based%20Label-Free%20Quantification&rft.jtitle=Analytical%20chemistry%20(Washington)&rft.au=Vincent,%20Catherine%20E&rft.date=2013-03-05&rft.volume=85&rft.issue=5&rft.spage=2825&rft.pages=2825-&rft.issn=0003-2700&rft.eissn=1520-6882&rft.coden=ANCHAM&rft_id=info:doi/&rft_dat=%3Cproquest%3E2910265841%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_journals_13149987513%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1314998751&rft_id=info:pmid/&rfr_iscdi=true