Additional file 1 of Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer
Additional file 1: Table S1. Pre-selected protein candidates that were monitored using PRM-MS. Table S2. A subpopulation of the Hamburg (HH) cohort (pre-operation serum was used for protein glycocapture and PRM-MS). Table S3. Sequ ences of heavy-isotope labeled synthetic peptides that were used for...
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| creator | Goetze, Sandra Schüffler, Peter Athanasiou, Alcibiade Koetemann, Anika Poyet, Cedric Fankhauser, Christian Daniel Wild, Peter J. Schiess, Ralph Wollscheid, Bernd |
| description | Additional file 1: Table S1. Pre-selected protein candidates that were monitored using PRM-MS. Table S2. A subpopulation of the Hamburg (HH) cohort (pre-operation serum was used for protein glycocapture and PRM-MS). Table S3. Sequ ences of heavy-isotope labeled synthetic peptides that were used for spectral library generation. Table S4. Peptide isolation list for PRM measurements of glycocapture. Table S5. Antibody affinities of generated ELISA sandwich pairs. Table S6. Dynamic range and precision of developed immunoassays. Table S7. Clinical data of Hamburg cohort patients used for random forest classification. Table S8. Clinical data of ProCOC patients used for protein signature validation. Table S9. ELISA data used for model generation (Hamburg) and validation (ProCOC). |
| doi_str_mv | 10.6084/m9.figshare.19670188 |
| format | Dataset |
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Pre-selected protein candidates that were monitored using PRM-MS. Table S2. A subpopulation of the Hamburg (HH) cohort (pre-operation serum was used for protein glycocapture and PRM-MS). Table S3. Sequ ences of heavy-isotope labeled synthetic peptides that were used for spectral library generation. Table S4. Peptide isolation list for PRM measurements of glycocapture. Table S5. Antibody affinities of generated ELISA sandwich pairs. Table S6. Dynamic range and precision of developed immunoassays. Table S7. Clinical data of Hamburg cohort patients used for random forest classification. Table S8. Clinical data of ProCOC patients used for protein signature validation. Table S9. ELISA data used for model generation (Hamburg) and validation (ProCOC).</description><identifier>DOI: 10.6084/m9.figshare.19670188</identifier><language>eng</language><publisher>figshare</publisher><subject>Biotechnology ; Cancer ; Cell Biology ; FOS: Health sciences ; Infectious Diseases ; Medicine</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-6880-8020 ; 0000-0002-3923-1610</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>777,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.19670188$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Goetze, Sandra</creatorcontrib><creatorcontrib>Schüffler, Peter</creatorcontrib><creatorcontrib>Athanasiou, Alcibiade</creatorcontrib><creatorcontrib>Koetemann, Anika</creatorcontrib><creatorcontrib>Poyet, Cedric</creatorcontrib><creatorcontrib>Fankhauser, Christian Daniel</creatorcontrib><creatorcontrib>Wild, Peter J.</creatorcontrib><creatorcontrib>Schiess, Ralph</creatorcontrib><creatorcontrib>Wollscheid, Bernd</creatorcontrib><title>Additional file 1 of Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer</title><description>Additional file 1: Table S1. 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ELISA data used for model generation (Hamburg) and validation (ProCOC).</description><subject>Biotechnology</subject><subject>Cancer</subject><subject>Cell Biology</subject><subject>FOS: Health sciences</subject><subject>Infectious Diseases</subject><subject>Medicine</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpdkMtOwzAQRbNhgQp_wMI_kOCpEydeVqWUSkUsaNeRH2M6ah6VbQnxA3w3DdBNV3ekOXM1Oln2ALyQvCkfe1V4-ogHHbAAJWsOTXObfS-co0TjoDvmqUMGbPRsH3GK1_d8vd88rZgfAyOHQyJPVk_4tD6FMSENzNDY63DEEH_BQPHIYgr6ij5P54bIPikdptuYdEJm9WAx3GU3XncR7_9zlu2eV7vlS759W2-Wi23uFDS5AzvXUHkFtS-NnIvKGtOYCitA5KqRFoRySkJtuKjAlFKYGoWQ0hrPpROzrPyrdTppSwnbU6Dz718t8Hay1PaqvVhqL5bED84eZZk</recordid><startdate>20220428</startdate><enddate>20220428</enddate><creator>Goetze, Sandra</creator><creator>Schüffler, Peter</creator><creator>Athanasiou, Alcibiade</creator><creator>Koetemann, Anika</creator><creator>Poyet, Cedric</creator><creator>Fankhauser, Christian Daniel</creator><creator>Wild, Peter J.</creator><creator>Schiess, Ralph</creator><creator>Wollscheid, Bernd</creator><general>figshare</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0001-6880-8020</orcidid><orcidid>https://orcid.org/0000-0002-3923-1610</orcidid></search><sort><creationdate>20220428</creationdate><title>Additional file 1 of Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer</title><author>Goetze, Sandra ; Schüffler, Peter ; Athanasiou, Alcibiade ; Koetemann, Anika ; Poyet, Cedric ; Fankhauser, Christian Daniel ; Wild, Peter J. ; Schiess, Ralph ; Wollscheid, Bernd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d918-d1c2a15f917f4b6235cbb8b5e51ee0986c139d9617b0351b463b7e3366cbf06d3</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biotechnology</topic><topic>Cancer</topic><topic>Cell Biology</topic><topic>FOS: Health sciences</topic><topic>Infectious Diseases</topic><topic>Medicine</topic><toplevel>online_resources</toplevel><creatorcontrib>Goetze, Sandra</creatorcontrib><creatorcontrib>Schüffler, Peter</creatorcontrib><creatorcontrib>Athanasiou, Alcibiade</creatorcontrib><creatorcontrib>Koetemann, Anika</creatorcontrib><creatorcontrib>Poyet, Cedric</creatorcontrib><creatorcontrib>Fankhauser, Christian Daniel</creatorcontrib><creatorcontrib>Wild, Peter J.</creatorcontrib><creatorcontrib>Schiess, Ralph</creatorcontrib><creatorcontrib>Wollscheid, Bernd</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Goetze, Sandra</au><au>Schüffler, Peter</au><au>Athanasiou, Alcibiade</au><au>Koetemann, Anika</au><au>Poyet, Cedric</au><au>Fankhauser, Christian Daniel</au><au>Wild, Peter J.</au><au>Schiess, Ralph</au><au>Wollscheid, Bernd</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Additional file 1 of Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer</title><date>2022-04-28</date><risdate>2022</risdate><abstract>Additional file 1: Table S1. Pre-selected protein candidates that were monitored using PRM-MS. Table S2. A subpopulation of the Hamburg (HH) cohort (pre-operation serum was used for protein glycocapture and PRM-MS). Table S3. Sequ ences of heavy-isotope labeled synthetic peptides that were used for spectral library generation. Table S4. Peptide isolation list for PRM measurements of glycocapture. Table S5. Antibody affinities of generated ELISA sandwich pairs. Table S6. Dynamic range and precision of developed immunoassays. Table S7. Clinical data of Hamburg cohort patients used for random forest classification. Table S8. Clinical data of ProCOC patients used for protein signature validation. Table S9. ELISA data used for model generation (Hamburg) and validation (ProCOC).</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.19670188</doi><orcidid>https://orcid.org/0000-0001-6880-8020</orcidid><orcidid>https://orcid.org/0000-0002-3923-1610</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biotechnology Cancer Cell Biology FOS: Health sciences Infectious Diseases Medicine |
| title | Additional file 1 of Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer |
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