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The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery
Abstract Motivation As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a...
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Published in: | Bioinformatics 2018-04, Vol.34 (7), p.1183-1191 |
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container_issue | 7 |
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container_title | Bioinformatics |
container_volume | 34 |
creator | Ivanov, Andrei A Revennaugh, Brian Rusnak, Lauren Gonzalez-Pecchi, Valentina Mo, Xiulei Johns, Margaret A Du, Yuhong Cooper, Lee A D Moreno, Carlos S Khuri, Fadlo R Fu, Haian |
description | Abstract
Motivation
As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited.
Results
Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development.
Availability and implementation
The OncoPPi Portal is available at http://oncoppi.emory.edu. |
doi_str_mv | 10.1093/bioinformatics/btx743 |
format | article |
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Motivation
As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited.
Results
Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development.
Availability and implementation
The OncoPPi Portal is available at http://oncoppi.emory.edu.</description><identifier>ISSN: 1367-4803</identifier><identifier>ISSN: 1460-2059</identifier><identifier>EISSN: 1460-2059</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/btx743</identifier><identifier>PMID: 29186335</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>bioinformatics ; cell lines ; cell proliferation ; clinical trials ; Cloud Computing ; drugs ; genes ; genomics ; Humans ; Internet ; neoplasm cells ; Neoplasm Proteins - metabolism ; neoplasms ; Neoplasms - metabolism ; Original Papers ; prioritization ; Protein Interaction Mapping - methods ; protein-protein interactions ; proteins ; screening ; therapeutics</subject><ispartof>Bioinformatics, 2018-04, Vol.34 (7), p.1183-1191</ispartof><rights>The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-c79545db90209ee814110636171761c4776e1b6a0e5be2a3a66c1ff72fbface23</citedby><cites>FETCH-LOGICAL-c485t-c79545db90209ee814110636171761c4776e1b6a0e5be2a3a66c1ff72fbface23</cites><orcidid>0000-0002-5582-0028 ; 0000-0001-7476-1329</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/PMC6030952/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030952/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1598,27901,27902,53766,53768</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/bioinformatics/btx743$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29186335$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ivanov, Andrei A</creatorcontrib><creatorcontrib>Revennaugh, Brian</creatorcontrib><creatorcontrib>Rusnak, Lauren</creatorcontrib><creatorcontrib>Gonzalez-Pecchi, Valentina</creatorcontrib><creatorcontrib>Mo, Xiulei</creatorcontrib><creatorcontrib>Johns, Margaret A</creatorcontrib><creatorcontrib>Du, Yuhong</creatorcontrib><creatorcontrib>Cooper, Lee A D</creatorcontrib><creatorcontrib>Moreno, Carlos S</creatorcontrib><creatorcontrib>Khuri, Fadlo R</creatorcontrib><creatorcontrib>Fu, Haian</creatorcontrib><title>The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Abstract
Motivation
As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited.
Results
Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development.
Availability and implementation
The OncoPPi Portal is available at http://oncoppi.emory.edu.</description><subject>bioinformatics</subject><subject>cell lines</subject><subject>cell proliferation</subject><subject>clinical trials</subject><subject>Cloud Computing</subject><subject>drugs</subject><subject>genes</subject><subject>genomics</subject><subject>Humans</subject><subject>Internet</subject><subject>neoplasm cells</subject><subject>Neoplasm Proteins - metabolism</subject><subject>neoplasms</subject><subject>Neoplasms - metabolism</subject><subject>Original Papers</subject><subject>prioritization</subject><subject>Protein Interaction Mapping - methods</subject><subject>protein-protein interactions</subject><subject>proteins</subject><subject>screening</subject><subject>therapeutics</subject><issn>1367-4803</issn><issn>1460-2059</issn><issn>1460-2059</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNkUtrHDEQhEWI8fsnJOiYy9h6ayaHQDDxAwzeg30WGm3PWmFW2kiaxc4hvz2yd23iU3zqhv6q6KIQ-kTJCSUdP-199GGIaWmLd_m0Lw9a8A9onwpFGkZk97HuXOlGtITvoYOcfxIiqRBiF-2xjraKc7mP_tzeA74JLs5mHs9iKnb8im3APhRYpOq9Bpwgxyk5wCVieFiNMUFF5niVfEy--N9Q11jAh2Y7n-XJuuJjyLh-iZ0NDhIuNi2g4LnPLq4hPR6hncGOGY638xDdnf-4Pbtsrm8urs6-XzdOtLI0TndSyHnfEUY6gJYKSoniimqqFXVCawW0V5aA7IFZbpVydBg0G_rBOmD8EH3b-K6mfglzB6EkO5qaYGnTo4nWm7eX4O_NIq6NIpx08sngy9YgxV8T5GKWNQOMow0Qp2wYk5wpJqT8L0o7XX9vBSMVlRvUpZhzguH1I0rMU83mbc1mU3PVff43zqvqpdcKkA0Qp9U7Pf8Chki-mg</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Ivanov, Andrei A</creator><creator>Revennaugh, Brian</creator><creator>Rusnak, Lauren</creator><creator>Gonzalez-Pecchi, Valentina</creator><creator>Mo, Xiulei</creator><creator>Johns, Margaret A</creator><creator>Du, Yuhong</creator><creator>Cooper, Lee A D</creator><creator>Moreno, Carlos S</creator><creator>Khuri, Fadlo R</creator><creator>Fu, Haian</creator><general>Oxford University Press</general><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><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5582-0028</orcidid><orcidid>https://orcid.org/0000-0001-7476-1329</orcidid></search><sort><creationdate>20180401</creationdate><title>The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery</title><author>Ivanov, Andrei A ; Revennaugh, Brian ; Rusnak, Lauren ; Gonzalez-Pecchi, Valentina ; Mo, Xiulei ; Johns, Margaret A ; Du, Yuhong ; Cooper, Lee A D ; Moreno, Carlos S ; Khuri, Fadlo R ; Fu, Haian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-c79545db90209ee814110636171761c4776e1b6a0e5be2a3a66c1ff72fbface23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>bioinformatics</topic><topic>cell lines</topic><topic>cell proliferation</topic><topic>clinical trials</topic><topic>Cloud Computing</topic><topic>drugs</topic><topic>genes</topic><topic>genomics</topic><topic>Humans</topic><topic>Internet</topic><topic>neoplasm cells</topic><topic>Neoplasm Proteins - metabolism</topic><topic>neoplasms</topic><topic>Neoplasms - metabolism</topic><topic>Original Papers</topic><topic>prioritization</topic><topic>Protein Interaction Mapping - methods</topic><topic>protein-protein interactions</topic><topic>proteins</topic><topic>screening</topic><topic>therapeutics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ivanov, Andrei A</creatorcontrib><creatorcontrib>Revennaugh, Brian</creatorcontrib><creatorcontrib>Rusnak, Lauren</creatorcontrib><creatorcontrib>Gonzalez-Pecchi, Valentina</creatorcontrib><creatorcontrib>Mo, Xiulei</creatorcontrib><creatorcontrib>Johns, Margaret A</creatorcontrib><creatorcontrib>Du, Yuhong</creatorcontrib><creatorcontrib>Cooper, Lee A D</creatorcontrib><creatorcontrib>Moreno, Carlos S</creatorcontrib><creatorcontrib>Khuri, Fadlo R</creatorcontrib><creatorcontrib>Fu, Haian</creatorcontrib><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><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ivanov, Andrei A</au><au>Revennaugh, Brian</au><au>Rusnak, Lauren</au><au>Gonzalez-Pecchi, Valentina</au><au>Mo, Xiulei</au><au>Johns, Margaret A</au><au>Du, Yuhong</au><au>Cooper, Lee A D</au><au>Moreno, Carlos S</au><au>Khuri, Fadlo R</au><au>Fu, Haian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>34</volume><issue>7</issue><spage>1183</spage><epage>1191</epage><pages>1183-1191</pages><issn>1367-4803</issn><issn>1460-2059</issn><eissn>1460-2059</eissn><eissn>1367-4811</eissn><abstract>Abstract
Motivation
As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited.
Results
Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development.
Availability and implementation
The OncoPPi Portal is available at http://oncoppi.emory.edu.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29186335</pmid><doi>10.1093/bioinformatics/btx743</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5582-0028</orcidid><orcidid>https://orcid.org/0000-0001-7476-1329</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | bioinformatics cell lines cell proliferation clinical trials Cloud Computing drugs genes genomics Humans Internet neoplasm cells Neoplasm Proteins - metabolism neoplasms Neoplasms - metabolism Original Papers prioritization Protein Interaction Mapping - methods protein-protein interactions proteins screening therapeutics |
title | The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery |
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