Nanopore native RNA sequencing of a human poly(A) transcriptome

Rachael E. Workman(Johns Hopkins University), Alison D. Tang(University of California, Santa Cruz), Paul S. Tang(Ontario Institute for Cancer Research), Miten Jain(University of California, Santa Cruz), John R. Tyson(University of British Columbia), Philip C. Zuzarte(Ontario Institute for Cancer Research), Timothy Gilpatrick(Johns Hopkins University), Roham Razaghi(Johns Hopkins University), Joshua Quick(University of Birmingham), Norah Sadowski(Johns Hopkins University), Nadine Holmes(University of Nottingham), Jaqueline Góes de Jesus(University of Birmingham), Karen L. Jones(University of British Columbia), Terrance P. Snutch(University of British Columbia), Nicholas J. Loman(University of Birmingham), Benedict Paten(University of California, Santa Cruz), Matthew Loose(University of Nottingham), Jared T. Simpson(Ontario Institute for Cancer Research), Hugh E. Olsen(University of California, Santa Cruz), Angela N. Brooks(University of California, Santa Cruz), Mark Akeson(University of California, Santa Cruz), Winston Timp(Johns Hopkins University)
bioRxiv (Cold Spring Harbor Laboratory)
November 9, 2018
Cited by 142Open Access
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Abstract

ABSTRACT High throughput cDNA sequencing technologies have dramatically advanced our understanding of transcriptome complexity and regulation. However, these methods lose information contained in biological RNA because the copied reads are often short and because modifications are not carried forward in cDNA. We address these limitations using a native poly(A) RNA sequencing strategy developed by Oxford Nanopore Technologies (ONT). Our study focused on poly(A) RNA from the human cell line GM12878, generating 9.9 million aligned sequence reads. These native RNA reads had an aligned N50 length of 1294 bases, and a maximum aligned length of over 21,000 bases. A total of 78,199 high-confidence isoforms were identified by combining long nanopore reads with short higher accuracy Illumina reads. We describe strategies for assessing 3′ poly(A) tail length, base modifications and transcript haplotypes from nanopore RNA data. Together, these nanopore-based techniques are poised to deliver new insights into RNA biology. DISCLOSURES MA holds shares in Oxford Nanopore Technologies (ONT). MA is a paid consultant to ONT. REW, WT, TG, JRT, JQ, NJL, JTS, NS, AB, MA, HEO, MJ, and ML received reimbursement for travel, accommodation and conference fees to speak at events organised by ONT. NL has received an honorarium to speak at an ONT company meeting. WT has two patents (8,748,091 and 8,394,584) licensed to Oxford Nanopore. JTS, ML and MA received research funding from ONT.


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