ArticleBreast cancer research : BCR2017
Nanopore sequencing of full-length BRCA1 mRNA transcripts reveals co-occurrence of known exon skipping events.
Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 57 citations in OpenAlex.
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Building the Toolkits to Examine the Expression and Associated Regulation of RBC Alloantigens.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Review
- Advances in cancer genomics and precision oncology.Genes & genomics · 2025Review
- Using synthetic RNA to benchmark poly(A) length inference from direct RNA sequencing.GigaScience · 2025Article
- Fine mapping of RNA isoform diversity using an innovative targeted long-read RNA sequencing protocol with novel dedicated bioinformatics pipeline.BMC genomics · 2024Article
- A Molecular Characterization of the Allelic Expression of theInternational journal of molecular sciences · 2024Article
- Isoform alterations in the ubiquitination machinery impacting gastrointestinal malignancies.Cell death & disease · 2024Review
- RNA Panel Sequencing Is an Effective Tool to Help Classify Splice Variants for Clinical Oncogenetic Diagnosis.Human mutation · 2024Article
- Long read sequencing on its way to the routine diagnostics of genetic diseases.Frontiers in genetics · 2024Review
- Full-length transcript alterations in human bronchial epithelial cells withLife science alliance · 2023Article
- Transcript capture and ultradeep long-read RNA sequencing (CAPLRseq) to diagnose HNPCC/Lynch syndrome.Journal of medical genetics · 2023Article
- Using the ACMG/AMP framework to capture evidence related to predicted and observed impact on splicing: Recommendations from the ClinGen SVI Splicing Subgroup.American journal of human genetics · 2023Article
- APPLICATION OF THE ACMG/AMP FRAMEWORK TO CAPTURE EVIDENCE RELEVANT TO PREDICTED AND OBSERVED IMPACT ON SPLICING: RECOMMENDATIONS FROM THE CLINGEN SVI SPLICING SUBGROUP.medRxiv : the preprint server for health sciences · 2023Article
- Editorial: Applications of RNA-seq in cancer and tumor research.Frontiers in genetics · 2023Article
- Hybrid-seq deciphers the complex transcriptional profile of the humanRNA biology · 2023Article
- How do emerging long-read sequencing technologies function in transforming the plant pathology research landscape?Plant molecular biology · 2022Review
- Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2Frontiers in immunology · 2022Article
- Application of third-generation sequencing in cancer research.Medical review (2021) · 2021Article
- DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation.Genome biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLaboratory 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. This study explored the utility of nanopore sequencing to examine whole BRCA1 mRNA transcripts and to provide accurate categorisation of in-frame and out-of-frame splicing events.
methodsThe exon structure of BRCA1 transcripts from a previously studied control lymphoblastoid cell line were assessed using MinION nanopore sequencing of long-range reverse transcriptase-PCR amplicons.
resultsOur study identified and characterised 32 complete BRCA1 isoforms, including 18 novel isoforms which showed skipping of multiple contiguous and/or non-contiguous exons. Furthermore, we show that known BRCA1 exon skipping events, such as Δ(9,10) and Δ21, can co-occur in a single transcript, with some isoforms containing four or more alternative splice junctions. Fourteen novel isoforms were formed entirely from a combination of previously identified alternative splice junctions, suggesting that the total number of BRCA1 isoforms might be lower than the number of splicing events reported previously.
conclusionsOur results highlight complexity in BRCA1 transcript structure that has not been described previously. This finding has key implications for predicting the 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.