Single-cell sequencing

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... long-read sequencing not only matched the gene expression and cell-type annotation performance of short-read sequencing but also excelled in the precise identification of transcript isoforms

Wang, M. et al. bioRxiv (2024)

  • Blue icon showing an RNA strand
    Reveal more biology — gene and isoform expression, plus variant detection in a single experiment
  • Blue icon representing a protocol checklist
    Prepare samples efficiently: approximately three hours from cDNA to sequencing
  • Blue icon representing a data analysis workflow
    Analyse data with intuitive EPI2ME workflow, including barcode and UMI demultiplexing — no short reads required
Intro

Ultra-rich single-cell transcriptome data without compromise

The analysis of transcriptomic heterogeneity at the single-cell level has provided new insights into many research areas, including cancer research, cell development and function, and immunology. However, the use of traditional short-read sequencing technology limits the ability to identify transcript abundance at the isoform level. Nanopore reads of unrestricted length resolve this challenge, enabling the sequencing of full-length transcripts to gain a deeper understanding of complex biology. Oxford Nanopore provides an end-to-end solution for single-cell RNA sequencing — from library preparation in approximately three hours, through to intuitive single-cell analysis with EPI2ME.

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