Show simple item record

dc.contributor.authorKnutsen, Erik
dc.contributor.authorFiskaa, Tonje
dc.contributor.authorUrsvik, Anita
dc.contributor.authorJørgensen, Tor Erik
dc.contributor.authorPerander, maria
dc.contributor.authorLund, Eiliv
dc.contributor.authorSeternes, Ole Morten
dc.contributor.authorJohansen, Steinar
dc.date.accessioned2014-01-24T09:18:49Z
dc.date.available2014-01-24T09:18:49Z
dc.date.issued2013
dc.description.abstractMicroRNA profiling represents an important first-step in deducting individual RNA-based regulatory function in a cell, tissue, or at a specific developmental stage. Currently there are several different platforms to choose from in order to make the initial miRNA profiles. In this study we investigate recently developed digital microRNA high-throughput technologies. Four different platforms were compared including next generation SOLiD ligation sequencing and Illumina HiSeq sequencing, hybridization-based NanoString nCounter, and miRCURY locked nucleic acid RT-qPCR. For all four technologies, full microRNA profiles were generated from human cell lines that represent noninvasive and invasive tumorigenic breast cancer. This study reports the correlation between platforms, as well as a more extensive analysis of the accuracy and sensitivity of data generated when using different platforms and important consideration when verifying results by the use of additional technologies. We found all the platforms to be highly capable for microRNA analysis. Furthermore, the two NGS platforms and RT-qPCR all have equally high sensitivity, and the fold change accuracy is independent of individual miRNA concentration for NGS and RT-qPCR. Based on these findings we propose new guidelines and considerations when performing microRNA profiling.en
dc.identifier.citationPLoS ONE (2013), vol. 8(10): e75813.en
dc.identifier.cristinIDFRIDAID 1085853
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0075813
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/10037/5804
dc.identifier.urnURN:NBN:no-uit_munin_5499
dc.language.isoengen
dc.publisherPublic Library of Science (PLoS)en
dc.rights.accessRightsopenAccess
dc.subjectVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762en
dc.subjectVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762en
dc.titlePerformance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Linesen
dc.typeJournal articleen
dc.typeTidsskriftartikkelen
dc.typePeer revieweden


File(s) in this item

Thumbnail
Thumbnail

This item appears in the following collection(s)

Show simple item record