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Determining exon connectivity in complex mRNAs by nanopore sequencing

Authors: Bolisetty, Mohan; Rajadinakaran, Gopinath; Graveley, Brenton;

Determining exon connectivity in complex mRNAs by nanopore sequencing

Abstract

AbstractThough powerful, short-read high throughput RNA sequencing is limited in its ability to directly measure exon connectivity in mRNAs containing multiple alternative exons located farther apart than the maximum read lengths. Here, we use the Oxford Nanopore MinION™sequencer to identify 7,899 ‘full-length’ isoforms expressed from fourDrosophilagenes,Dscam1,MRP,Mhc, andRdl. These results demonstrate that nanopore sequencing can be used to deconvolute individual isoforms and that it has the potential to be an important method for comprehensive transcriptome characterization.

Related Organizations
Keywords

Method, High-Throughput Nucleotide Sequencing, Exons, Myosins, Receptors, GABA-A, Nanopores, Animals, Drosophila Proteins, Protein Isoforms, ATP-Binding Cassette Transporters, Drosophila, RNA, Messenger, Transcriptome, Cell Adhesion Molecules, Neural Cell Adhesion Molecules

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    128
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
128
Top 1%
Top 10%
Top 1%
Green
gold