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dc.contributor.authorBegik, Oguzhan
dc.contributor.authorDiensthuber, Gregor
dc.contributor.authorLiu, Huanle
dc.contributor.authorDelgado-Tejedor, Anna
dc.contributor.authorKontur, Cassandra
dc.contributor.authorNiazi, Adnan Muhammad
dc.contributor.authorValen, Eivind
dc.contributor.authorGiraldez, Antonio J.
dc.contributor.authorBeaudoin, Jean-Denis
dc.contributor.authorMattick, John S.
dc.contributor.authorNovoa, Eva Maria
dc.date.accessioned2023-03-23T12:36:13Z
dc.date.available2023-03-23T12:36:13Z
dc.date.created2023-01-09T13:58:28Z
dc.date.issued2022
dc.identifier.issn1548-7091
dc.identifier.urihttps://hdl.handle.net/11250/3060125
dc.description.abstractRNA polyadenylation plays a central role in RNA maturation, fate, and stability. In response to developmental cues, polyA tail lengths can vary, affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore 3′ end-capture sequencing (Nano3P-seq), a method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance, tail composition, and tail length dynamics at per-read resolution. By employing a template-switching-based sequencing protocol, Nano3P-seq can sequence RNA molecule from its 3′ end, regardless of its polyadenylation status, without the need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P-seq provides quantitative estimates of RNA abundance and tail lengths, and captures a wide diversity of RNA biotypes. We find that, in addition to mRNA and long non-coding RNA, polyA tails can be identified in 16S mitochondrial ribosomal RNA in both mouse and zebrafish models. Moreover, we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform-specific level, correlating with mRNA decay. Finally, we demonstrate the ability of Nano3P-seq in capturing non-A bases within polyA tails of various lengths, and reveal their distribution during vertebrate embryogenesis. Overall, Nano3P-seq is a simple and robust method for accurately estimating transcript levels, tail lengths, and tail composition heterogeneity in individual reads, with minimal library preparation biases, both in the coding and non-coding transcriptome.en_US
dc.language.isoengen_US
dc.publisherNatureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleNano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1038/s41592-022-01714-w
dc.identifier.cristin2103348
dc.source.journalNature Methodsen_US
dc.source.pagenumber75-85en_US
dc.identifier.citationNature Methods. 2022, 20, 75-85.en_US
dc.source.volume20en_US


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