Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/11993
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dc.contributor.authorWong, Stephen Qen
dc.contributor.authorLi, Jasonen
dc.contributor.authorSheppard, Karen Een
dc.contributor.authorDo, Hongdoen
dc.contributor.authorTothill, Richard Wen
dc.contributor.authorMcArthur, Grant Aen
dc.contributor.authorDobrovic, Alexanderen
dc.date.accessioned2015-05-16T01:37:43Z
dc.date.available2015-05-16T01:37:43Z
dc.date.issued2013-12-13en
dc.identifier.citationScientific Reports 2013; 3(): 3494en
dc.identifier.govdoc24336498en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/11993en
dc.description.abstractMassively parallel sequencing offers the ability to interrogate a tumour biopsy for multiple mutational changes. For clinical samples, methodologies must enable maximal extraction of available sequence information from formalin-fixed and paraffin-embedded (FFPE) material. We assessed the use of targeted capture for mutation detection in FFPE DNA. The capture probes targeted the coding region of all known kinase genes and selected oncogenes and tumour suppressor genes. Seven melanoma cell lines and matching FFPE xenograft DNAs were sequenced. An informatics pipeline was developed to identify variants and contaminating mouse reads. Concordance of 100% was observed between unfixed and formalin-fixed for reported COSMIC variants including BRAF V600E. mutations in genes not conventionally screened including ERBB4, ATM, STK11 and CDKN2A were readily detected. All regions were adequately covered with independent reads regardless of GC content. This study indicates that hybridisation capture is a robust approach for massively parallel sequencing of FFPE samples.en
dc.language.isoenen
dc.titleTargeted-capture massively-parallel sequencing enables robust detection of clinically informative mutations from formalin-fixed tumours.en
dc.typeJournal Articleen
dc.identifier.journaltitleScientific Reportsen
dc.identifier.affiliationMolecular Pathology Research and Development Laboratory, Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, 3002, Australiaen
dc.identifier.affiliationBioinformatics Core, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australiaen
dc.identifier.affiliationMolecular Pathology Research and Development Laboratory, Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, 3002, Australiaen
dc.identifier.affiliationBioinformatics Core, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australiaen
dc.identifier.affiliationTranslational Genomics and Epigenomics Laboratory, Ludwig Institute for Cancer Research, The Olivia Newton-John Cancer and Wellness Centre, Heidelberg, Victoria, 3084, Australiaen
dc.identifier.affiliationDivision of Cancer Research, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, Victoria, 3002, Australiaen
dc.identifier.affiliationDepartment of Biochemistry and Molecular Biology, The University of Melbourne, Parkville, Victoria, 3010, Australiaen
dc.identifier.affiliationSir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, 3010, Australiaen
dc.identifier.affiliationDepartment of Pathology, The University of Melbourne, Parkville, Victoria, 3010, Australiaen
dc.identifier.doi10.1038/srep03494en
dc.description.pages3494en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/24336498en
dc.type.austinJournal Articleen
local.name.researcherDobrovic, Alexander
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptOlivia Newton-John Cancer Research Institute-
crisitem.author.deptSurgery (University of Melbourne)-
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