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Search: onr:"swepub:oai:lup.lub.lu.se:b6a78db8-4f29-4631-a467-0cc39a533ef8" > Reproducible Quanti...

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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003801naa a2200433 4500
001oai:lup.lub.lu.se:b6a78db8-4f29-4631-a467-0cc39a533ef8
003SwePub
008160401s2012 | |||||||||||000 ||eng|
024a https://lup.lub.lu.se/record/29949742 URI
024a https://doi.org/10.1126/scitranslmed.30039892 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Huttenhain, Ruth4 aut
2451 0a Reproducible Quantification of Cancer-Associated Proteins in Body Fluids Using Targeted Proteomics
264 1b American Association for the Advancement of Science (AAAS),c 2012
520 a The rigorous testing of hypotheses on suitable sample cohorts is a major limitation in translational research. This is particularly the case for the validation of protein biomarkers; the lack of accurate, reproducible, and sensitive assays for most proteins has precluded the systematic assessment of hundreds of potential marker proteins described in the literature. Here, we describe a high-throughput method for the development and refinement of selected reaction monitoring (SRM) assays for human proteins. The method was applied to generate such assays for more than 1000 cancer-associated proteins, which are functionally related to candidate cancer driver mutations. We used the assays to determine the detectability of the target proteins in two clinically relevant samples: plasma and urine. One hundred eighty-two proteins were detected in depleted plasma, spanning five orders of magnitude in abundance and reaching below a concentration of 10 ng/ml. The narrower concentration range of proteins in urine allowed the detection of 408 proteins. Moreover, we demonstrate that these SRM assays allow reproducible quantification by monitoring 34 biomarker candidates across 83 patient plasma samples. Through public access to the entire assay library, researchers will be able to target their cancer-associated proteins of interest in any sample type using the detectability information in plasma and urine as a guide. The generated expandable reference map of SRM assays for cancer-associated proteins will be a valuable resource for accelerating and planning biomarker verification studies.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
700a Soste, Martin4 aut
700a Selevsek, Nathalie4 aut
700a Roest, Hannes4 aut
700a Sethi, Atul4 aut
700a Carapito, Christine4 aut
700a Farrah, Terry4 aut
700a Deutsch, Eric W.4 aut
700a Kusebauch, Ulrike4 aut
700a Moritz, Robert L.4 aut
700a Niméus, Emmau Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Bröstcancer Proteogenomik,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Breast cancer Proteogenomics,Lund University Research Groups4 aut0 (Swepub:lu)onk-ens
700a Rinner, Oliver4 aut
700a Aebersold, Ruedi4 aut
710a Bröstcancer-genetikb Sektion I4 org
773t Science Translational Medicined : American Association for the Advancement of Science (AAAS)g 4:142, s. 94-142q 4:142<94-142x 1946-6242x 1946-6234
856u http://dx.doi.org/10.1126/scitranslmed.3003989y FULLTEXT
856u https://europepmc.org/articles/pmc3766734?pdf=render
8564 8u https://lup.lub.lu.se/record/2994974
8564 8u https://doi.org/10.1126/scitranslmed.3003989

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