Fusion transcripts

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A novel gene fusion RNF38-RAD51B is also identified, and we find it functionally acts to enhance migration, invasion, and metastasis capabilities of colorectal cancer cells

Xu, L. et al. PLoS Genet. (2023)

  • Icon displaying a graphic of any length nanopore reads
    Sequence full-length fusion transcripts with nanopore reads of unrestricted length
  • Blue icon showing an RNA strand
    Characterise fusion transcripts with simple, flexible workflows — with or without PCR
  • Real-time icon blue
    Rapidly identify fusions with real-time sequencing and analysis
Intro

Full-length sequencing of fusion transcripts

The accurate characterisation of fusion transcripts is of high importance for clinical research into diseases, including some forms of cancer. Confident identification of fusion transcripts requires sequencing reads to span the fusion junction and include sufficient sequence on either side for accurate identification; however, this capacity is often limited when using legacy short-read sequencing approaches. With nanopore reads of unrestricted length, fusion transcripts can be sequenced end to end in single reads, enabling comprehensive characterisation of fusions and their precise splice junctions.

Animation of an RNA molecule with a glowing orange poly-A tail

Technology comparison

Oxford Nanopore sequencing

Legacy short-read sequencing

Any read length (20 bp to >4 Mb)

Short read length (<300 bp)

  • Generate complete, high-quality genomes with fewer contigs and simplify de novo assembly
  • Resolve genomic regions inaccessible to short reads, including complex structural variants (SVs) and repeats
  • Analyse long-range haplotypes, accurately phase single nucleotide variants (SNVs) and base modifications, and identify parent-of-origin effects
  • Sequence short DNA fragments, such as amplicons and cell-free DNA (cfDNA)
  • Sequence and quantify full-length transcripts to annotate genomes, fully characterise isoforms, and analyse gene expression — including at single-cell resolution
  • Resolve mobile genetic elements — including plasmids and transposons — to generate critical genomic insights
  • Enhance taxonomic resolution using full-length reads of informative loci, such as the entire 16S gene
  • Assembly contiguity is reduced and complex computational analyses are required to infer results
  • Complex genomic regions such as SVs and repeat elements typically cannot be sequenced in single reads (e.g. transposons, gene duplications, and prophage sequences)
  • Transcript analysis is limited to gene-level expression data
  • Important genetic information is missed

Direct sequencing of native DNA/RNA

Amplification required

  • Eliminate amplification- and GC-bias, along with read length limitations, and access genomic regions that are difficult to amplify
  • Detect epigenetic modifications, such as methylation, as standard — no additional, time-consuming sample prep required
  • Create cost-effective, amplification-free, targeted panels with adaptive sampling to detect SVs, repeats, SNVs, and methylation in a single assay
  • Amplification is often required and can introduce bias
  • Base modifications are removed, necessitating additional sample prep, sequencing runs, and expense
  • Uniformity of coverage is reduced, resulting in assembly gaps

Real-time data streaming

Fixed run time with bulk data delivery

  • Analyse data as it is generated for immediate access to actionable results
  • Stop sequencing when sufficient data is obtained — wash and reuse flow cell
  • Combine real-time data streaming with intuitive, real-time EPI2ME data analysis workflows for deeper insights
  • Time to result is increased
  • Workflow errors cannot be identified until it is too late
  • Additional complexities of handling large volumes of bulk data

Accessible and affordable sequencing

Constrained to centralised labs

  • Sequence on demand with flexible end-to-end workflows that suit your throughput needs
  • Sequence at sample source, even in the most extreme or remote environments, with the portable MinION device — minimise potential sample degradation caused by storage and shipping
  • Scale up with modular GridION and PromethION devices — suitable for high-output, high-throughput sequencing to generate ultra-rich data
  • Perform cost-effective targeted analyses with single-use Flongle Flow Cells
  • Sequence as and when needed using low-cost, independently addressable flow cells — no sample batching needed
  • Use sample barcodes to multiplex samples on a single flow cell
  • Bulky, expensive devices that require substantial site infrastructure — use is restricted to well-resourced, centralised locations, limiting global accessibility
  • High sample batching is required for optimal efficiency, delaying time to results

Streamlined, automatable workflows

Laborious workflows

  • Lengthy sample prep is required
  • Long sequencing run times
  • Workflow efficiency is reduced, and time to result is increased