Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening
Systematic identification of direct protein-protein interactions is often hampered by difficulties in expressing and purifying the corresponding full-length proteins. By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the c...
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Veröffentlicht in: | Proteomics (Weinheim) 2007-06, Vol.7 (11), p.1775-1785 |
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description | Systematic identification of direct protein-protein interactions is often hampered by difficulties in expressing and purifying the corresponding full-length proteins. By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the corresponding domain-ligand recognition and employed peptide arrays to identify such binding events. A group of 12 Src homology (SH) 3 domains from eight human proteins (Swiss-Prot ID: SRC, PLCG1, P85A, NCK1, GRB2, FYN, CRK) were used to screen a peptide target array composed of 1536 potential ligands, which led to the identification of 921 binary interactions between these proteins and 284 targets. To assess the efficiency of the peptide array target screening (PATS) method in identifying authentic protein-protein interactions, we examined a set of interactions mediated by the PLCγ1 SH3 domain by coimmunoprecipitation and/or affinity pull-downs using full-length proteins and achieved a 75% success rate. Furthermore, we characterized a novel interaction between PLCγ1 and hematopoietic progenitor kinase 1 (HPK1) identified by PATS and demonstrated that the PLCγ1 SH3 domain negatively regulated HPK1 kinase activity. Compared to protein interactions listed in the online predicted human interaction protein database (OPHID), the majority of interactions identified by PATS are novel, suggesting that, when extended to the large number of peptide interaction domains encoded by the human genome, PATS should aid in the mapping of the human interactome. |
doi_str_mv | 10.1002/pmic.200601006 |
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By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the corresponding domain-ligand recognition and employed peptide arrays to identify such binding events. A group of 12 Src homology (SH) 3 domains from eight human proteins (Swiss-Prot ID: SRC, PLCG1, P85A, NCK1, GRB2, FYN, CRK) were used to screen a peptide target array composed of 1536 potential ligands, which led to the identification of 921 binary interactions between these proteins and 284 targets. To assess the efficiency of the peptide array target screening (PATS) method in identifying authentic protein-protein interactions, we examined a set of interactions mediated by the PLCγ1 SH3 domain by coimmunoprecipitation and/or affinity pull-downs using full-length proteins and achieved a 75% success rate. Furthermore, we characterized a novel interaction between PLCγ1 and hematopoietic progenitor kinase 1 (HPK1) identified by PATS and demonstrated that the PLCγ1 SH3 domain negatively regulated HPK1 kinase activity. Compared to protein interactions listed in the online predicted human interaction protein database (OPHID), the majority of interactions identified by PATS are novel, suggesting that, when extended to the large number of peptide interaction domains encoded by the human genome, PATS should aid in the mapping of the human interactome.</description><identifier>ISSN: 1615-9853</identifier><identifier>EISSN: 1615-9861</identifier><identifier>DOI: 10.1002/pmic.200601006</identifier><identifier>PMID: 17474147</identifier><language>eng</language><publisher>Weinheim: Wiley-VCH Verlag</publisher><subject>Amino Acid Sequence ; Analytical, structural and metabolic biochemistry ; Binding Sites ; Biological and medical sciences ; Cell Line ; Cells, Cultured ; Fundamental and applied biological sciences. 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By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the corresponding domain-ligand recognition and employed peptide arrays to identify such binding events. A group of 12 Src homology (SH) 3 domains from eight human proteins (Swiss-Prot ID: SRC, PLCG1, P85A, NCK1, GRB2, FYN, CRK) were used to screen a peptide target array composed of 1536 potential ligands, which led to the identification of 921 binary interactions between these proteins and 284 targets. To assess the efficiency of the peptide array target screening (PATS) method in identifying authentic protein-protein interactions, we examined a set of interactions mediated by the PLCγ1 SH3 domain by coimmunoprecipitation and/or affinity pull-downs using full-length proteins and achieved a 75% success rate. Furthermore, we characterized a novel interaction between PLCγ1 and hematopoietic progenitor kinase 1 (HPK1) identified by PATS and demonstrated that the PLCγ1 SH3 domain negatively regulated HPK1 kinase activity. Compared to protein interactions listed in the online predicted human interaction protein database (OPHID), the majority of interactions identified by PATS are novel, suggesting that, when extended to the large number of peptide interaction domains encoded by the human genome, PATS should aid in the mapping of the human interactome.</description><subject>Amino Acid Sequence</subject><subject>Analytical, structural and metabolic biochemistry</subject><subject>Binding Sites</subject><subject>Biological and medical sciences</subject><subject>Cell Line</subject><subject>Cells, Cultured</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>HPK1</subject><subject>Humans</subject><subject>Interactome</subject><subject>Ligands</subject><subject>Miscellaneous</subject><subject>Molecular Sequence Data</subject><subject>Peptide array</subject><subject>Peptides - analysis</subject><subject>Peptides - metabolism</subject><subject>Phospholipase C gamma - metabolism</subject><subject>PLCγ1</subject><subject>Protein Array Analysis - methods</subject><subject>Protein Binding</subject><subject>Protein-Serine-Threonine Kinases - metabolism</subject><subject>Proteins</subject><subject>SH3 domain</subject><subject>Signal Transduction</subject><subject>src Homology Domains - physiology</subject><issn>1615-9853</issn><issn>1615-9861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtv1DAUhSMEoqWwZQnewC6D7Th-LNFAOxXlIQ2FpXXHdgbD5FHbEeTf41GiKTtW19f6zr3Hx0XxnOAVwZi-GVpvVhRjjnPLHxTnhJO6VJKTh6dzXZ0VT2L8iTERUonHxRkRTDDCxHkxbqeYXAvJG-St65JvvMld36G-QdtNhWzfgu_K1lkPyVn0Y2yhQ0Pok8vXS0W-Sy6AOQoj2k1ocEPK8xCEABNKEPYuoWiCc53v9k-LRw0conu21Ivi9vL91_WmvPl8db1-e1MaVtW8lMQyxcAYppSizFHOKiIqqay0tgarOK8kx40B4hgF21Bld2Ao23FiMZXVRfF6nptt3o0uJt36aNzhAJ3rx6gFrgVmmGRwNYMm9DEG1-gh-BbCpAnWx6D1MWh9CjoLXiyTx12O5h5fks3AqwWAaODQBOiMj_eclIQqyTKnZu63P7jpP2v1l4_X639NlLPW5z_8c9JC-KW5qEStv3-60vKDutysv73Tx10vZ76BXsM-ZD-3W5qfj7FUFDNS_QURNLFS</recordid><startdate>20070601</startdate><enddate>20070601</enddate><creator>Wu, Chenggang</creator><creator>Ma, Mike Haiting</creator><creator>Brown, Kevin R</creator><creator>Geisler, Matt</creator><creator>Li, Lei</creator><creator>Tzeng, Eve</creator><creator>Jia, Christina Y.H</creator><creator>Jurisica, Igor</creator><creator>Li, Shawn S.-C</creator><general>Wiley-VCH Verlag</general><general>WILEY-VCH Verlag</general><general>WILEY‐VCH Verlag</general><general>Wiley-VCH</general><scope>FBQ</scope><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>7X8</scope></search><sort><creationdate>20070601</creationdate><title>Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening</title><author>Wu, Chenggang ; Ma, Mike Haiting ; Brown, Kevin R ; Geisler, Matt ; Li, Lei ; Tzeng, Eve ; Jia, Christina Y.H ; Jurisica, Igor ; Li, Shawn S.-C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4356-81d494acc499924e264317389d8dd5ad9663860fca1e42adf29dbac24b61d0283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Amino Acid Sequence</topic><topic>Analytical, structural and metabolic biochemistry</topic><topic>Binding Sites</topic><topic>Biological and medical sciences</topic><topic>Cell Line</topic><topic>Cells, Cultured</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>HPK1</topic><topic>Humans</topic><topic>Interactome</topic><topic>Ligands</topic><topic>Miscellaneous</topic><topic>Molecular Sequence Data</topic><topic>Peptide array</topic><topic>Peptides - analysis</topic><topic>Peptides - metabolism</topic><topic>Phospholipase C gamma - metabolism</topic><topic>PLCγ1</topic><topic>Protein Array Analysis - methods</topic><topic>Protein Binding</topic><topic>Protein-Serine-Threonine Kinases - metabolism</topic><topic>Proteins</topic><topic>SH3 domain</topic><topic>Signal Transduction</topic><topic>src Homology Domains - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Chenggang</creatorcontrib><creatorcontrib>Ma, Mike Haiting</creatorcontrib><creatorcontrib>Brown, Kevin R</creatorcontrib><creatorcontrib>Geisler, Matt</creatorcontrib><creatorcontrib>Li, Lei</creatorcontrib><creatorcontrib>Tzeng, Eve</creatorcontrib><creatorcontrib>Jia, Christina Y.H</creatorcontrib><creatorcontrib>Jurisica, Igor</creatorcontrib><creatorcontrib>Li, Shawn S.-C</creatorcontrib><collection>AGRIS</collection><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>MEDLINE - Academic</collection><jtitle>Proteomics (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Chenggang</au><au>Ma, Mike Haiting</au><au>Brown, Kevin R</au><au>Geisler, Matt</au><au>Li, Lei</au><au>Tzeng, Eve</au><au>Jia, Christina Y.H</au><au>Jurisica, Igor</au><au>Li, Shawn S.-C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening</atitle><jtitle>Proteomics (Weinheim)</jtitle><addtitle>Proteomics</addtitle><date>2007-06-01</date><risdate>2007</risdate><volume>7</volume><issue>11</issue><spage>1775</spage><epage>1785</epage><pages>1775-1785</pages><issn>1615-9853</issn><eissn>1615-9861</eissn><abstract>Systematic identification of direct protein-protein interactions is often hampered by difficulties in expressing and purifying the corresponding full-length proteins. By taking advantage of the modular nature of many regulatory proteins, we attempted to simplify protein-protein interactions to the corresponding domain-ligand recognition and employed peptide arrays to identify such binding events. A group of 12 Src homology (SH) 3 domains from eight human proteins (Swiss-Prot ID: SRC, PLCG1, P85A, NCK1, GRB2, FYN, CRK) were used to screen a peptide target array composed of 1536 potential ligands, which led to the identification of 921 binary interactions between these proteins and 284 targets. To assess the efficiency of the peptide array target screening (PATS) method in identifying authentic protein-protein interactions, we examined a set of interactions mediated by the PLCγ1 SH3 domain by coimmunoprecipitation and/or affinity pull-downs using full-length proteins and achieved a 75% success rate. Furthermore, we characterized a novel interaction between PLCγ1 and hematopoietic progenitor kinase 1 (HPK1) identified by PATS and demonstrated that the PLCγ1 SH3 domain negatively regulated HPK1 kinase activity. Compared to protein interactions listed in the online predicted human interaction protein database (OPHID), the majority of interactions identified by PATS are novel, suggesting that, when extended to the large number of peptide interaction domains encoded by the human genome, PATS should aid in the mapping of the human interactome.</abstract><cop>Weinheim</cop><pub>Wiley-VCH Verlag</pub><pmid>17474147</pmid><doi>10.1002/pmic.200601006</doi><tpages>11</tpages></addata></record> |
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subjects | Amino Acid Sequence Analytical, structural and metabolic biochemistry Binding Sites Biological and medical sciences Cell Line Cells, Cultured Fundamental and applied biological sciences. Psychology HPK1 Humans Interactome Ligands Miscellaneous Molecular Sequence Data Peptide array Peptides - analysis Peptides - metabolism Phospholipase C gamma - metabolism PLCγ1 Protein Array Analysis - methods Protein Binding Protein-Serine-Threonine Kinases - metabolism Proteins SH3 domain Signal Transduction src Homology Domains - physiology |
title | Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening |
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