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Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study
HILEP is a cost-effective method enabling metabolic labelling of mature plants with a stable isotope (e.g. 15N). HILEP, in combination with mass spectrometry, is suitable for quantitative plant proteomics. Differentially treated 14N and 15N grown plants were pooled and their relative protein amounts...
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Published in: | Phytochemistry (Oxford) 2008-07, Vol.69 (10), p.1962-1972 |
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container_end_page | 1972 |
container_issue | 10 |
container_start_page | 1962 |
container_title | Phytochemistry (Oxford) |
container_volume | 69 |
creator | Bindschedler, Laurence V. Palmblad, Magnus Cramer, Rainer |
description | HILEP is a cost-effective method enabling metabolic labelling of mature plants with a stable isotope (e.g.
15N). HILEP, in combination with mass spectrometry, is suitable for quantitative plant proteomics. Differentially treated
14N and
15N grown plants were pooled and their relative protein amounts calculated from the
14N/
15N ion signal ratios.
Hydroponic isotope labelling of entire plants (HILEP) is a cost-effective method enabling metabolic labelling of whole and mature plants with a stable isotope such as
15N. By utilising hydroponic media that contain
15N inorganic salts as the sole nitrogen source, near to 100%
15N-labelling of proteins can be achieved. In this study, it is shown that HILEP, in combination with mass spectrometry, is suitable for relative protein quantitation of seven week-old
Arabidopsis plants submitted to oxidative stress. Protein extracts from pooled
14N- and
15N-hydroponically grown plants were fractionated by SDS–PAGE, digested and analysed by liquid chromatography electrospray ionisation tandem mass spectrometry (LC–ESI–MS/MS). Proteins were identified and the spectra of
14N/
15N peptide pairs were extracted using their
m/
z chromatographic retention time, isotopic distributions, and the
m/
z difference between the
14N and
15N peptides. Relative amounts were calculated as the ratio of the sum of the peak areas of the two distinct
14N and
15N peptide isotope envelopes. Using Mascot and the open source trans-proteomic pipeline (TPP), the data processing was automated for global proteome quantitation down to the isoform level by extracting isoform specific peptides. With this combination of metabolic labelling and mass spectrometry it was possible to show differential protein expression in the apoplast of plants submitted to oxidative stress. Moreover, it was possible to discriminate between differentially expressed isoforms belonging to the same protein family, such as isoforms of xylanases and pathogen-related glucanases (PR 2). |
doi_str_mv | 10.1016/j.phytochem.2008.04.007 |
format | article |
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15N). HILEP, in combination with mass spectrometry, is suitable for quantitative plant proteomics. Differentially treated
14N and
15N grown plants were pooled and their relative protein amounts calculated from the
14N/
15N ion signal ratios.
Hydroponic isotope labelling of entire plants (HILEP) is a cost-effective method enabling metabolic labelling of whole and mature plants with a stable isotope such as
15N. By utilising hydroponic media that contain
15N inorganic salts as the sole nitrogen source, near to 100%
15N-labelling of proteins can be achieved. In this study, it is shown that HILEP, in combination with mass spectrometry, is suitable for relative protein quantitation of seven week-old
Arabidopsis plants submitted to oxidative stress. Protein extracts from pooled
14N- and
15N-hydroponically grown plants were fractionated by SDS–PAGE, digested and analysed by liquid chromatography electrospray ionisation tandem mass spectrometry (LC–ESI–MS/MS). Proteins were identified and the spectra of
14N/
15N peptide pairs were extracted using their
m/
z chromatographic retention time, isotopic distributions, and the
m/
z difference between the
14N and
15N peptides. Relative amounts were calculated as the ratio of the sum of the peak areas of the two distinct
14N and
15N peptide isotope envelopes. Using Mascot and the open source trans-proteomic pipeline (TPP), the data processing was automated for global proteome quantitation down to the isoform level by extracting isoform specific peptides. With this combination of metabolic labelling and mass spectrometry it was possible to show differential protein expression in the apoplast of plants submitted to oxidative stress. Moreover, it was possible to discriminate between differentially expressed isoforms belonging to the same protein family, such as isoforms of xylanases and pathogen-related glucanases (PR 2).</description><identifier>ISSN: 0031-9422</identifier><identifier>EISSN: 1873-3700</identifier><identifier>DOI: 10.1016/j.phytochem.2008.04.007</identifier><identifier>PMID: 18538804</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Arabidopsis - growth & development ; Arabidopsis - metabolism ; Arabidopsis thaliana ; Biological and medical sciences ; Chemical constitution ; Fundamental and applied biological sciences. Psychology ; Hydroponics ; Isotope Labeling ; Mass Spectrometry ; Metabolic labelling ; Metabolism ; Metabolism. Physicochemical requirements ; Oxidative Stress ; Plant physiology and development ; plant proteins ; Protein expression ; proteomics ; Proteomics - methods ; quantitative analysis ; Quantitative proteomics ; Spectroscopy, Fourier Transform Infrared ; stable isotopes</subject><ispartof>Phytochemistry (Oxford), 2008-07, Vol.69 (10), p.1962-1972</ispartof><rights>2008 Elsevier Ltd</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-22715f67bd7a7010d9d5c0a30b4e548f5607700287867083ffa7b459c099688e3</citedby><cites>FETCH-LOGICAL-c423t-22715f67bd7a7010d9d5c0a30b4e548f5607700287867083ffa7b459c099688e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20525878$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18538804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bindschedler, Laurence V.</creatorcontrib><creatorcontrib>Palmblad, Magnus</creatorcontrib><creatorcontrib>Cramer, Rainer</creatorcontrib><title>Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study</title><title>Phytochemistry (Oxford)</title><addtitle>Phytochemistry</addtitle><description>HILEP is a cost-effective method enabling metabolic labelling of mature plants with a stable isotope (e.g.
15N). HILEP, in combination with mass spectrometry, is suitable for quantitative plant proteomics. Differentially treated
14N and
15N grown plants were pooled and their relative protein amounts calculated from the
14N/
15N ion signal ratios.
Hydroponic isotope labelling of entire plants (HILEP) is a cost-effective method enabling metabolic labelling of whole and mature plants with a stable isotope such as
15N. By utilising hydroponic media that contain
15N inorganic salts as the sole nitrogen source, near to 100%
15N-labelling of proteins can be achieved. In this study, it is shown that HILEP, in combination with mass spectrometry, is suitable for relative protein quantitation of seven week-old
Arabidopsis plants submitted to oxidative stress. Protein extracts from pooled
14N- and
15N-hydroponically grown plants were fractionated by SDS–PAGE, digested and analysed by liquid chromatography electrospray ionisation tandem mass spectrometry (LC–ESI–MS/MS). Proteins were identified and the spectra of
14N/
15N peptide pairs were extracted using their
m/
z chromatographic retention time, isotopic distributions, and the
m/
z difference between the
14N and
15N peptides. Relative amounts were calculated as the ratio of the sum of the peak areas of the two distinct
14N and
15N peptide isotope envelopes. Using Mascot and the open source trans-proteomic pipeline (TPP), the data processing was automated for global proteome quantitation down to the isoform level by extracting isoform specific peptides. With this combination of metabolic labelling and mass spectrometry it was possible to show differential protein expression in the apoplast of plants submitted to oxidative stress. Moreover, it was possible to discriminate between differentially expressed isoforms belonging to the same protein family, such as isoforms of xylanases and pathogen-related glucanases (PR 2).</description><subject>Arabidopsis - growth & development</subject><subject>Arabidopsis - metabolism</subject><subject>Arabidopsis thaliana</subject><subject>Biological and medical sciences</subject><subject>Chemical constitution</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hydroponics</subject><subject>Isotope Labeling</subject><subject>Mass Spectrometry</subject><subject>Metabolic labelling</subject><subject>Metabolism</subject><subject>Metabolism. Physicochemical requirements</subject><subject>Oxidative Stress</subject><subject>Plant physiology and development</subject><subject>plant proteins</subject><subject>Protein expression</subject><subject>proteomics</subject><subject>Proteomics - methods</subject><subject>quantitative analysis</subject><subject>Quantitative proteomics</subject><subject>Spectroscopy, Fourier Transform Infrared</subject><subject>stable isotopes</subject><issn>0031-9422</issn><issn>1873-3700</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkVFv1SAUx4nRuOv0KzheNPrQeqBQaPa0LNO75Caa6J4JpXTjprd0QKf328tNm_noE4TzO3D-PxC6IFASIPWXfTk9HJM3D_ZQUgBZAisBxAu0IVJURSUAXqINQEWKhlF6ht7EuAcAzuv6NTojkldSAtug39tjF_zkR2ewiz75yeJBt3YY3HiPfY_tmFyweBr0mCL-tL3d3fz4jHsf8OOcj1zSyT2tdTwFn6w_OBMvsR6x_-O6pRxTsDFio-NpP3fHt-hVr4do363rObr7evPrelvsvn-7vb7aFYbRKhWUCsL7WrSd0AIIdE3HDegKWmY5kz2vQeSsVApZC5BV32vRMt4YaJpaSludo4_LvXm0x9nGpA4umhxPj9bPUdUNFYxxmkGxgCb4GIPt1RTcQYejIqBOztVePTtXJ-cKmMrOc-f79Ym5PdjuX98qOQMfVkBHo4c-6NG4-MxR4JTnAJm7WLhee6XvQ2buflIgFUBDKOOQiauFsFnZk7NBRePsaGyX_8gk1Xn333H_AjwUrfA</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>Bindschedler, Laurence V.</creator><creator>Palmblad, Magnus</creator><creator>Cramer, Rainer</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>20080701</creationdate><title>Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study</title><author>Bindschedler, Laurence V. ; Palmblad, Magnus ; Cramer, Rainer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-22715f67bd7a7010d9d5c0a30b4e548f5607700287867083ffa7b459c099688e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Arabidopsis - growth & development</topic><topic>Arabidopsis - metabolism</topic><topic>Arabidopsis thaliana</topic><topic>Biological and medical sciences</topic><topic>Chemical constitution</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Hydroponics</topic><topic>Isotope Labeling</topic><topic>Mass Spectrometry</topic><topic>Metabolic labelling</topic><topic>Metabolism</topic><topic>Metabolism. Physicochemical requirements</topic><topic>Oxidative Stress</topic><topic>Plant physiology and development</topic><topic>plant proteins</topic><topic>Protein expression</topic><topic>proteomics</topic><topic>Proteomics - methods</topic><topic>quantitative analysis</topic><topic>Quantitative proteomics</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>stable isotopes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bindschedler, Laurence V.</creatorcontrib><creatorcontrib>Palmblad, Magnus</creatorcontrib><creatorcontrib>Cramer, Rainer</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Phytochemistry (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bindschedler, Laurence V.</au><au>Palmblad, Magnus</au><au>Cramer, Rainer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study</atitle><jtitle>Phytochemistry (Oxford)</jtitle><addtitle>Phytochemistry</addtitle><date>2008-07-01</date><risdate>2008</risdate><volume>69</volume><issue>10</issue><spage>1962</spage><epage>1972</epage><pages>1962-1972</pages><issn>0031-9422</issn><eissn>1873-3700</eissn><abstract>HILEP is a cost-effective method enabling metabolic labelling of mature plants with a stable isotope (e.g.
15N). HILEP, in combination with mass spectrometry, is suitable for quantitative plant proteomics. Differentially treated
14N and
15N grown plants were pooled and their relative protein amounts calculated from the
14N/
15N ion signal ratios.
Hydroponic isotope labelling of entire plants (HILEP) is a cost-effective method enabling metabolic labelling of whole and mature plants with a stable isotope such as
15N. By utilising hydroponic media that contain
15N inorganic salts as the sole nitrogen source, near to 100%
15N-labelling of proteins can be achieved. In this study, it is shown that HILEP, in combination with mass spectrometry, is suitable for relative protein quantitation of seven week-old
Arabidopsis plants submitted to oxidative stress. Protein extracts from pooled
14N- and
15N-hydroponically grown plants were fractionated by SDS–PAGE, digested and analysed by liquid chromatography electrospray ionisation tandem mass spectrometry (LC–ESI–MS/MS). Proteins were identified and the spectra of
14N/
15N peptide pairs were extracted using their
m/
z chromatographic retention time, isotopic distributions, and the
m/
z difference between the
14N and
15N peptides. Relative amounts were calculated as the ratio of the sum of the peak areas of the two distinct
14N and
15N peptide isotope envelopes. Using Mascot and the open source trans-proteomic pipeline (TPP), the data processing was automated for global proteome quantitation down to the isoform level by extracting isoform specific peptides. With this combination of metabolic labelling and mass spectrometry it was possible to show differential protein expression in the apoplast of plants submitted to oxidative stress. Moreover, it was possible to discriminate between differentially expressed isoforms belonging to the same protein family, such as isoforms of xylanases and pathogen-related glucanases (PR 2).</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><pmid>18538804</pmid><doi>10.1016/j.phytochem.2008.04.007</doi><tpages>11</tpages></addata></record> |
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subjects | Arabidopsis - growth & development Arabidopsis - metabolism Arabidopsis thaliana Biological and medical sciences Chemical constitution Fundamental and applied biological sciences. Psychology Hydroponics Isotope Labeling Mass Spectrometry Metabolic labelling Metabolism Metabolism. Physicochemical requirements Oxidative Stress Plant physiology and development plant proteins Protein expression proteomics Proteomics - methods quantitative analysis Quantitative proteomics Spectroscopy, Fourier Transform Infrared stable isotopes |
title | Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study |
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