Gene expression

Subscribe

Our results show that current gene transcript annotations are incomplete and supports the use of long-read sequencing to identify novel RNA isoforms.

Ricardo De Paoli-Iseppi, The University of Melbourne, Australia

  • Icon displaying a graphic of any length nanopore reads
    Accurately characterise and quantify full-length transcripts with nanopore reads of unrestricted length
  • Blue icon showing a PromethION Flow Cell
    Generate high sequencing yields from low input amounts
  • Icon displaying a graphic of epigenetic base modification detection
    Eliminate PCR bias and explore epigenetic modifications with direct RNA sequencing
Intro

Full-length transcripts in single reads

Analysis of gene expression is important in many applications, from clinical research to developmental biology. However, the use of legacy short-read technologies can cause multi-mapping when aligning data and limit quantification accuracy; this can be further limited by PCR bias. In contrast, nanopore reads of unrestricted length allow transcripts to be sequenced end-to-end, enabling accurate quantification and complete characterisation of isoforms in a single dataset. Furthermore, direct RNA sequencing enables the simultaneous detection of epigenetic modifications and eliminates PCR bias.

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