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High-throughput MS-based protein phenotyping: Application to haptoglobin
A high‐throughput affinity capture and reduction approach was developed for phenotype and post‐translational modification analysis of a complexed globular protein, haptoglobin (Hp), directly from human plasma. Hp was selectively retrieved utilizing anti‐Hp antibodies immobilized onto affinity pipett...
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Published in: | Proteomics (Weinheim) 2005-12, Vol.5 (18), p.5002-5007 |
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creator | Tubbs, Kemmons A. Kiernan, Urban A. Niederkofler, Eric E. Nedelkov, Dobrin Bieber, Allan L. Nelson, Randall W. |
description | A high‐throughput affinity capture and reduction approach was developed for phenotype and post‐translational modification analysis of a complexed globular protein, haptoglobin (Hp), directly from human plasma. Hp was selectively retrieved utilizing anti‐Hp antibodies immobilized onto affinity pipette tips, eluted onto a formatted mass spectrometer target for reduction of Hp α‐chains (Hpα1 and Hpα2) and subjected to subsequent MALDI‐MS analysis. The affinity capture and reduction approach was originally developed from a pre‐extraction reduction methodology that was optimized to an affinity capture post‐reduction technique for intact Hp α‐chain variant analysis, phenotype classification and ensuing post‐translational variant detection. Three common Hp phenotypes (1–1, 2–1 and 2–2) were assigned according to detection of Hpα1 and/or Hpα2 reduced intact chain(s) average mass(es). The affinity capture post‐reduction approach was scaled for high‐throughput Hp α‐chain phenotype analysis from a normal plasma cohort. The entire sample cohort was successfully analyzed and phenotyped using the developed approach. Additionally, Hp post‐translational variants were detected and assigned via accurate MS analyses. The results of this study suggest use of the methodology in future analyses of other similarly complexed proteins and in normal versus disease cohort population proteomics studies. |
doi_str_mv | 10.1002/pmic.200500176 |
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Hp was selectively retrieved utilizing anti‐Hp antibodies immobilized onto affinity pipette tips, eluted onto a formatted mass spectrometer target for reduction of Hp α‐chains (Hpα1 and Hpα2) and subjected to subsequent MALDI‐MS analysis. The affinity capture and reduction approach was originally developed from a pre‐extraction reduction methodology that was optimized to an affinity capture post‐reduction technique for intact Hp α‐chain variant analysis, phenotype classification and ensuing post‐translational variant detection. Three common Hp phenotypes (1–1, 2–1 and 2–2) were assigned according to detection of Hpα1 and/or Hpα2 reduced intact chain(s) average mass(es). The affinity capture post‐reduction approach was scaled for high‐throughput Hp α‐chain phenotype analysis from a normal plasma cohort. The entire sample cohort was successfully analyzed and phenotyped using the developed approach. Additionally, Hp post‐translational variants were detected and assigned via accurate MS analyses. The results of this study suggest use of the methodology in future analyses of other similarly complexed proteins and in normal versus disease cohort population proteomics studies.</description><identifier>ISSN: 1615-9853</identifier><identifier>EISSN: 1615-9861</identifier><identifier>DOI: 10.1002/pmic.200500176</identifier><identifier>PMID: 16281186</identifier><language>eng</language><publisher>Weinheim: WILEY-VCH Verlag</publisher><subject>Analytical, structural and metabolic biochemistry ; Biological and medical sciences ; Fundamental and applied biological sciences. 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KGaA, Weinheim</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4426-f6a2626c71786992776752b04dc144fcd96dd97dcfd811fa1ccfb18ef8256fd3</citedby><cites>FETCH-LOGICAL-c4426-f6a2626c71786992776752b04dc144fcd96dd97dcfd811fa1ccfb18ef8256fd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17334301$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16281186$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tubbs, Kemmons A.</creatorcontrib><creatorcontrib>Kiernan, Urban A.</creatorcontrib><creatorcontrib>Niederkofler, Eric E.</creatorcontrib><creatorcontrib>Nedelkov, Dobrin</creatorcontrib><creatorcontrib>Bieber, Allan L.</creatorcontrib><creatorcontrib>Nelson, Randall W.</creatorcontrib><title>High-throughput MS-based protein phenotyping: Application to haptoglobin</title><title>Proteomics (Weinheim)</title><addtitle>Proteomics</addtitle><description>A high‐throughput affinity capture and reduction approach was developed for phenotype and post‐translational modification analysis of a complexed globular protein, haptoglobin (Hp), directly from human plasma. Hp was selectively retrieved utilizing anti‐Hp antibodies immobilized onto affinity pipette tips, eluted onto a formatted mass spectrometer target for reduction of Hp α‐chains (Hpα1 and Hpα2) and subjected to subsequent MALDI‐MS analysis. The affinity capture and reduction approach was originally developed from a pre‐extraction reduction methodology that was optimized to an affinity capture post‐reduction technique for intact Hp α‐chain variant analysis, phenotype classification and ensuing post‐translational variant detection. Three common Hp phenotypes (1–1, 2–1 and 2–2) were assigned according to detection of Hpα1 and/or Hpα2 reduced intact chain(s) average mass(es). The affinity capture post‐reduction approach was scaled for high‐throughput Hp α‐chain phenotype analysis from a normal plasma cohort. The entire sample cohort was successfully analyzed and phenotyped using the developed approach. Additionally, Hp post‐translational variants were detected and assigned via accurate MS analyses. The results of this study suggest use of the methodology in future analyses of other similarly complexed proteins and in normal versus disease cohort population proteomics studies.</description><subject>Analytical, structural and metabolic biochemistry</subject><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Haptoglobin</subject><subject>Haptoglobins - chemistry</subject><subject>Haptoglobins - genetics</subject><subject>High-throughput</subject><subject>Humans</subject><subject>Immunoassay - methods</subject><subject>Mass Spectrometry - methods</subject><subject>Miscellaneous</subject><subject>Phenotype</subject><subject>Protein phenotyping</subject><subject>Protein Processing, Post-Translational</subject><subject>Proteins</subject><issn>1615-9853</issn><issn>1615-9861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkM9P2zAYhq1paEDZlSPKZbul2I5jx7tBBRSJbkMgxs1y_KMxS2MvdsT63y9Vq7Ibp-87PO_3PXoBOEVwiiDE52Hl1BRDWEKIGP0AjhBFZc4rij7u97I4BMcxvmyQirNP4BBRXCFU0SMwn7tlk6em98OyCUPKFg95LaPRWeh9Mq7LQmM6n9bBdctv2UUIrVMyOd9lyWeNDMkvW1-77gQcWNlG83k3J-Dx-upxNs_vftzczi7uckUIprmlElNMFRtVKOeYMcpKXEOiFSLEKs2p1pxpZfVoaCVSytaoMrbCJbW6mICv27Oj3p_BxCRWLirTtrIzfoiCVhyOf9C7IOKEEMirEZxuQdX7GHtjRejdSvZrgaDYdCw2HYt9x2PgbHd5qFdGv-G7Ukfgyw6QUcnW9rJTLr5xrChIATeKfMu9utas33krfi5uZ_9L5Nusi8n83Wdl_1tQVrBS_Pp-I4qn5_vLkl6KsvgHUDGktA</recordid><startdate>20051201</startdate><enddate>20051201</enddate><creator>Tubbs, Kemmons A.</creator><creator>Kiernan, Urban A.</creator><creator>Niederkofler, Eric E.</creator><creator>Nedelkov, Dobrin</creator><creator>Bieber, Allan L.</creator><creator>Nelson, Randall W.</creator><general>WILEY-VCH Verlag</general><general>WILEY‐VCH Verlag</general><general>Wiley-VCH</general><scope>BSCLL</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20051201</creationdate><title>High-throughput MS-based protein phenotyping: Application to haptoglobin</title><author>Tubbs, Kemmons A. ; Kiernan, Urban A. ; Niederkofler, Eric E. ; Nedelkov, Dobrin ; Bieber, Allan L. ; Nelson, Randall W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4426-f6a2626c71786992776752b04dc144fcd96dd97dcfd811fa1ccfb18ef8256fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Analytical, structural and metabolic biochemistry</topic><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Haptoglobin</topic><topic>Haptoglobins - chemistry</topic><topic>Haptoglobins - genetics</topic><topic>High-throughput</topic><topic>Humans</topic><topic>Immunoassay - methods</topic><topic>Mass Spectrometry - methods</topic><topic>Miscellaneous</topic><topic>Phenotype</topic><topic>Protein phenotyping</topic><topic>Protein Processing, Post-Translational</topic><topic>Proteins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tubbs, Kemmons A.</creatorcontrib><creatorcontrib>Kiernan, Urban A.</creatorcontrib><creatorcontrib>Niederkofler, Eric E.</creatorcontrib><creatorcontrib>Nedelkov, Dobrin</creatorcontrib><creatorcontrib>Bieber, Allan L.</creatorcontrib><creatorcontrib>Nelson, Randall W.</creatorcontrib><collection>Istex</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>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Proteomics (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tubbs, Kemmons A.</au><au>Kiernan, Urban A.</au><au>Niederkofler, Eric E.</au><au>Nedelkov, Dobrin</au><au>Bieber, Allan L.</au><au>Nelson, Randall W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-throughput MS-based protein phenotyping: Application to haptoglobin</atitle><jtitle>Proteomics (Weinheim)</jtitle><addtitle>Proteomics</addtitle><date>2005-12-01</date><risdate>2005</risdate><volume>5</volume><issue>18</issue><spage>5002</spage><epage>5007</epage><pages>5002-5007</pages><issn>1615-9853</issn><eissn>1615-9861</eissn><abstract>A high‐throughput affinity capture and reduction approach was developed for phenotype and post‐translational modification analysis of a complexed globular protein, haptoglobin (Hp), directly from human plasma. Hp was selectively retrieved utilizing anti‐Hp antibodies immobilized onto affinity pipette tips, eluted onto a formatted mass spectrometer target for reduction of Hp α‐chains (Hpα1 and Hpα2) and subjected to subsequent MALDI‐MS analysis. The affinity capture and reduction approach was originally developed from a pre‐extraction reduction methodology that was optimized to an affinity capture post‐reduction technique for intact Hp α‐chain variant analysis, phenotype classification and ensuing post‐translational variant detection. Three common Hp phenotypes (1–1, 2–1 and 2–2) were assigned according to detection of Hpα1 and/or Hpα2 reduced intact chain(s) average mass(es). The affinity capture post‐reduction approach was scaled for high‐throughput Hp α‐chain phenotype analysis from a normal plasma cohort. The entire sample cohort was successfully analyzed and phenotyped using the developed approach. Additionally, Hp post‐translational variants were detected and assigned via accurate MS analyses. The results of this study suggest use of the methodology in future analyses of other similarly complexed proteins and in normal versus disease cohort population proteomics studies.</abstract><cop>Weinheim</cop><pub>WILEY-VCH Verlag</pub><pmid>16281186</pmid><doi>10.1002/pmic.200500176</doi><tpages>6</tpages></addata></record> |
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subjects | Analytical, structural and metabolic biochemistry Biological and medical sciences Fundamental and applied biological sciences. Psychology Haptoglobin Haptoglobins - chemistry Haptoglobins - genetics High-throughput Humans Immunoassay - methods Mass Spectrometry - methods Miscellaneous Phenotype Protein phenotyping Protein Processing, Post-Translational Proteins |
title | High-throughput MS-based protein phenotyping: Application to haptoglobin |
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