henhaobio
Sign in

Breast Cancer ResearchGenomicsPeer-reviewed journal article

Nanopore sequencing of full-length BRCA1 mRNA transcripts reveals co-occurrence of known exon skipping events

Lucy C. de JongiD, Simone L. CreeiD, Vanessa LattimoreiD, George A. R. WigginsiD, Amanda B. SpurdleiD, kConFab Investigators, Allison L. MilleriD, Martin Alexander KennedyiD, Logan C. WalkeriD

PDFDOIPreprint

Abstract

Laboratory assays evaluating the effect of DNA sequence variants on BRCA1 mRNA splicing may contribute to classification by providing molecular evidence. However, our knowledge of normal and aberrant BRCA1 splicing events to date has been limited to data derived from assays targeting partial transcript sequences. For the first time, we resolve the exon structure of whole BRCA1 transcripts using MinION nanopore sequencing of long-range PCR amplicons. Our study identified 32 BRCA1 isoforms, including 18 novel isoforms which comprised skipping of multiple contiguous and/or non-contiguous exons. Furthermore, we show that known BRCA1 exon skipping events, such as {Delta}(9,10) and {Delta}21, can co-occur in a single transcript, with some isoforms containing four or more alternative splice junctions. Our results highlight complexity in BRCA1 transcript structure that has not previously been described. This finding has key implications for predicting translation frame of splicing transcripts, important for interpreting the clinical significance of spliceogenic variants. Future research is warranted to quantitatively assess full length BRCA1 transcript levels, and to assess the application of nanopore sequencing for routine evaluation of potential spliceogenic variants.

Citations
53
FWCI
2.90
Field percentile
top 9%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISBolisetty '15Rahimi '21You '22Cao '21Drexler '19Byrne '17
58% semantic matchGenomics