Comparative proteomics reveals unexpected quantitative phosphorylation differences linked to platelet activation state
There is a need to assess platelet activation in patients with thrombotic disorders. P-selectin and activated integrin αIIbβ3 are usually quantified by flow cytometry to measure platelet activation. Monitoring changes in vasodilator-stimulated phosphoprotein (VASP) phosphorylation is an established...
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description | There is a need to assess platelet activation in patients with thrombotic disorders. P-selectin and activated integrin αIIbβ3 are usually quantified by flow cytometry to measure platelet activation. Monitoring changes in vasodilator-stimulated phosphoprotein (VASP) phosphorylation is an established method to determine the platelet-reactivity status. To study disruptions of platelet reactivity more comprehensively, we compared the human non-secretory platelet proteome after
in-vitro
-activation and –inhibition with their respective untreated controls using unbiased fluorescence two-dimensional differential in-gel electrophoresis. The non-secretory platelet proteome was more severely affected during inhibition than during activation. Strikingly, while VASP reached a 1.3-fold increase in phosphorylation levels in inhibited platelets, other protein kinase A targets showed several-fold stronger inhibition-induced phosphorylation levels, including LIM and SH3 domain protein 1 (6.7-fold), Src kinase-associated phosphoprotein 2 (4.6-fold), and Ras-related protein Rap1b (4.1-fold). Moreover, phosphorylation of integrin-linked protein kinase (ILK) and pleckstrin (PLEK) species was associated with P-selectin surface expression. The discrimination power between activation and inhibition was more pronounced for dephosphorylated ILK (3.79 Cohen’s d effect size) and phosphorylated PLEK (3.77) species than for P-selectin (2.35). These data reveal new insights into the quantitative changes of the platelet reactivity proteome and suggest powerful alternatives to characterise their activation and inactivation potential. |
doi_str_mv | 10.1038/s41598-019-55391-5 |
format | Article |
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in-vitro
-activation and –inhibition with their respective untreated controls using unbiased fluorescence two-dimensional differential in-gel electrophoresis. The non-secretory platelet proteome was more severely affected during inhibition than during activation. Strikingly, while VASP reached a 1.3-fold increase in phosphorylation levels in inhibited platelets, other protein kinase A targets showed several-fold stronger inhibition-induced phosphorylation levels, including LIM and SH3 domain protein 1 (6.7-fold), Src kinase-associated phosphoprotein 2 (4.6-fold), and Ras-related protein Rap1b (4.1-fold). Moreover, phosphorylation of integrin-linked protein kinase (ILK) and pleckstrin (PLEK) species was associated with P-selectin surface expression. The discrimination power between activation and inhibition was more pronounced for dephosphorylated ILK (3.79 Cohen’s d effect size) and phosphorylated PLEK (3.77) species than for P-selectin (2.35). These data reveal new insights into the quantitative changes of the platelet reactivity proteome and suggest powerful alternatives to characterise their activation and inactivation potential.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-55391-5</identifier><identifier>PMID: 31831789</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13/31 ; 631/45/612/1246 ; 692/308/53/2421 ; 692/4017 ; 82 ; 82/29 ; 82/58 ; Adult ; Blood Platelets - metabolism ; Blood Proteins - metabolism ; Cell Adhesion Molecules - metabolism ; Cyclic AMP-Dependent Protein Kinases - metabolism ; Electrophoresis, Gel, Two-Dimensional ; Female ; Humanities and Social Sciences ; Humans ; Hydrogen-Ion Concentration ; Inactivation ; Kinases ; Male ; Microfilament Proteins - metabolism ; Models, Biological ; multidisciplinary ; P-Selectin - metabolism ; Phosphoproteins - metabolism ; Phosphorylation ; Platelet Activation ; Protein-Serine-Threonine Kinases - metabolism ; Proteins ; Proteome - metabolism ; Proteomics ; Quality Control ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2019-12, Vol.9 (1), p.19009-16, Article 19009</ispartof><rights>The Author(s) 2019</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-7e0682c81bd1aecdf5a0444c48c60e1291eba29d021f0a1e82b27f9a544c60983</citedby><cites>FETCH-LOGICAL-c474t-7e0682c81bd1aecdf5a0444c48c60e1291eba29d021f0a1e82b27f9a544c60983</cites><orcidid>0000-0003-2245-2158 ; 0000-0001-7380-2942 ; 0000-0002-6586-3507</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908631/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908631/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31831789$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schmidt, G. J.</creatorcontrib><creatorcontrib>Reumiller, C. M.</creatorcontrib><creatorcontrib>Ercan, H.</creatorcontrib><creatorcontrib>Resch, U.</creatorcontrib><creatorcontrib>Butt, E.</creatorcontrib><creatorcontrib>Heber, S.</creatorcontrib><creatorcontrib>Liutkevičiūte, Z.</creatorcontrib><creatorcontrib>Basílio, J.</creatorcontrib><creatorcontrib>Schmid, J. A.</creatorcontrib><creatorcontrib>Assinger, A.</creatorcontrib><creatorcontrib>Jilma, B.</creatorcontrib><creatorcontrib>Zellner, M.</creatorcontrib><title>Comparative proteomics reveals unexpected quantitative phosphorylation differences linked to platelet activation state</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>There is a need to assess platelet activation in patients with thrombotic disorders. P-selectin and activated integrin αIIbβ3 are usually quantified by flow cytometry to measure platelet activation. Monitoring changes in vasodilator-stimulated phosphoprotein (VASP) phosphorylation is an established method to determine the platelet-reactivity status. To study disruptions of platelet reactivity more comprehensively, we compared the human non-secretory platelet proteome after
in-vitro
-activation and –inhibition with their respective untreated controls using unbiased fluorescence two-dimensional differential in-gel electrophoresis. The non-secretory platelet proteome was more severely affected during inhibition than during activation. Strikingly, while VASP reached a 1.3-fold increase in phosphorylation levels in inhibited platelets, other protein kinase A targets showed several-fold stronger inhibition-induced phosphorylation levels, including LIM and SH3 domain protein 1 (6.7-fold), Src kinase-associated phosphoprotein 2 (4.6-fold), and Ras-related protein Rap1b (4.1-fold). Moreover, phosphorylation of integrin-linked protein kinase (ILK) and pleckstrin (PLEK) species was associated with P-selectin surface expression. The discrimination power between activation and inhibition was more pronounced for dephosphorylated ILK (3.79 Cohen’s d effect size) and phosphorylated PLEK (3.77) species than for P-selectin (2.35). These data reveal new insights into the quantitative changes of the platelet reactivity proteome and suggest powerful alternatives to characterise their activation and inactivation potential.</description><subject>13/31</subject><subject>631/45/612/1246</subject><subject>692/308/53/2421</subject><subject>692/4017</subject><subject>82</subject><subject>82/29</subject><subject>82/58</subject><subject>Adult</subject><subject>Blood Platelets - metabolism</subject><subject>Blood Proteins - metabolism</subject><subject>Cell Adhesion Molecules - metabolism</subject><subject>Cyclic AMP-Dependent Protein Kinases - metabolism</subject><subject>Electrophoresis, Gel, Two-Dimensional</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Hydrogen-Ion Concentration</subject><subject>Inactivation</subject><subject>Kinases</subject><subject>Male</subject><subject>Microfilament Proteins - metabolism</subject><subject>Models, Biological</subject><subject>multidisciplinary</subject><subject>P-Selectin - metabolism</subject><subject>Phosphoproteins - metabolism</subject><subject>Phosphorylation</subject><subject>Platelet Activation</subject><subject>Protein-Serine-Threonine Kinases - metabolism</subject><subject>Proteins</subject><subject>Proteome - metabolism</subject><subject>Proteomics</subject><subject>Quality Control</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1v1DAQhiMEaqvSP9ADisSFS8CfiX1BQitokSpxoWfL60xal8RObWdF_z2zZFsKByxZHmueee2Zt6rOKXlPCVcfsqBSq4ZQ3UjJNW3ki-qEESEbxhl7-Sw-rs5yviO4JNOC6qPqmFPFaaf0SbXbxGm2yRa_g3pOsUCcvMt1gh3YMddLgJ8zuAJ9fb_YUHw5oLcx404PI95jqHs_DJAgOMj16MMP5EusZ8zCCKW2DqtWMqMCvK5eDSgPZ4fztLr-8vn75rK5-nbxdfPpqnGiE6XpgLSKOUW3PbXg-kFaIoRwQrmWAGWawtYy3RNGB2IpKLZl3aCtRKYlWvHT6uOqOy_bCXoHoSQ7mjn5yaYHE603f2eCvzU3cWdaTVTLKQq8OwikeL9ALmby2cE42gBxyQYHrLjQHd2jb_9B7-KSAra3p3D2LaEcKbZSLsWcEwxPn6HE7J01q7MGnTW_nTUSi948b-Op5NFHBPgKZEyFG0h_3v6P7C8zCbLF</recordid><startdate>20191212</startdate><enddate>20191212</enddate><creator>Schmidt, G. 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A.</creatorcontrib><creatorcontrib>Assinger, A.</creatorcontrib><creatorcontrib>Jilma, B.</creatorcontrib><creatorcontrib>Zellner, M.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schmidt, G. J.</au><au>Reumiller, C. M.</au><au>Ercan, H.</au><au>Resch, U.</au><au>Butt, E.</au><au>Heber, S.</au><au>Liutkevičiūte, Z.</au><au>Basílio, J.</au><au>Schmid, J. A.</au><au>Assinger, A.</au><au>Jilma, B.</au><au>Zellner, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative proteomics reveals unexpected quantitative phosphorylation differences linked to platelet activation state</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-12-12</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>19009</spage><epage>16</epage><pages>19009-16</pages><artnum>19009</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>There is a need to assess platelet activation in patients with thrombotic disorders. P-selectin and activated integrin αIIbβ3 are usually quantified by flow cytometry to measure platelet activation. Monitoring changes in vasodilator-stimulated phosphoprotein (VASP) phosphorylation is an established method to determine the platelet-reactivity status. To study disruptions of platelet reactivity more comprehensively, we compared the human non-secretory platelet proteome after
in-vitro
-activation and –inhibition with their respective untreated controls using unbiased fluorescence two-dimensional differential in-gel electrophoresis. The non-secretory platelet proteome was more severely affected during inhibition than during activation. Strikingly, while VASP reached a 1.3-fold increase in phosphorylation levels in inhibited platelets, other protein kinase A targets showed several-fold stronger inhibition-induced phosphorylation levels, including LIM and SH3 domain protein 1 (6.7-fold), Src kinase-associated phosphoprotein 2 (4.6-fold), and Ras-related protein Rap1b (4.1-fold). Moreover, phosphorylation of integrin-linked protein kinase (ILK) and pleckstrin (PLEK) species was associated with P-selectin surface expression. The discrimination power between activation and inhibition was more pronounced for dephosphorylated ILK (3.79 Cohen’s d effect size) and phosphorylated PLEK (3.77) species than for P-selectin (2.35). These data reveal new insights into the quantitative changes of the platelet reactivity proteome and suggest powerful alternatives to characterise their activation and inactivation potential.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31831789</pmid><doi>10.1038/s41598-019-55391-5</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-2245-2158</orcidid><orcidid>https://orcid.org/0000-0001-7380-2942</orcidid><orcidid>https://orcid.org/0000-0002-6586-3507</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 13/31 631/45/612/1246 692/308/53/2421 692/4017 82 82/29 82/58 Adult Blood Platelets - metabolism Blood Proteins - metabolism Cell Adhesion Molecules - metabolism Cyclic AMP-Dependent Protein Kinases - metabolism Electrophoresis, Gel, Two-Dimensional Female Humanities and Social Sciences Humans Hydrogen-Ion Concentration Inactivation Kinases Male Microfilament Proteins - metabolism Models, Biological multidisciplinary P-Selectin - metabolism Phosphoproteins - metabolism Phosphorylation Platelet Activation Protein-Serine-Threonine Kinases - metabolism Proteins Proteome - metabolism Proteomics Quality Control Science Science (multidisciplinary) |
title | Comparative proteomics reveals unexpected quantitative phosphorylation differences linked to platelet activation state |
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