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Identification of high confidence human poly(A) RNA isoform scaffolds using nanopore sequencing

Authors :
Ira Schildkraut
George Tzertzinis
Hugh E. Olsen
Mark Diekhans
Mark Akeson
John Buswell
Logan Mulroney
Laurence Ettwiller
Miten Jain
Ivan R. Corrêa
Madalee G. Wulf
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Nanopore sequencing devices read individual RNA strands directly. This facilitates identification of exon linkages and nucleotide modifications; however, using conventional methods the 5′ and 3′ ends of poly(A) RNA cannot be identified unambiguously. This is due in part to the architecture of the nanopore/enzyme-motor complex, and in part to RNA degradation in vivo and in vitro that can obscure transcription start and end sites. In this study, we aimed to identify individual full-length human RNA isoform scaffolds among ∼4 million nanopore poly(A)-selected RNA reads. First, to identify RNA strands bearing 5′ m7G caps, we exchanged the biological cap for a modified cap attached to a 45-nucleotide oligomer. This oligomer adaptation method improved 5′ end sequencing and ensured correct identification of the 5′ m7G capped ends. Second, among these 5′-capped nanopore reads, we screened for ionic current signatures consistent with a 3′ polyadenylation site. Combining these two steps, we identified 294,107 individual high-confidence full-length RNA scaffolds, most of which (257,721) aligned to protein-coding genes. Of these, 4,876 scaffolds indicated unannotated isoforms that were often internal to longer, previously identified RNA isoforms. Orthogonal data confirmed the validity of these high-confidence RNA scaffolds.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........1af28994770314a9addd53d1d13c885e