Epigenetics and methylation analysis

Epigenetics, the study of heritable phenotypic changes that do not involve alteration of the nucleotide sequence, plays a key role in gene expression and has been associated with many diseases, including cancer. As PCR removes base modifications, their detection via traditional sequencing technologies requires the use of special library preparation steps (e.g. bisulfite conversion) which damage nucleic acids, resulting in very short sequencing reads. With nanopore sequencing, PCR is not required, enabling DNA and RNA modifications to be preserved and directly sequenced — with no additional library prep steps. Long-range epigenetic changes, structural variants, and single nucleotide polymorphisms can be identified and phased in a single dataset.

  • Detect base modifications alongside nucleotide sequence as standard
  • Use whole genome or amplification-free targeted sequencing approaches
  • Streamline your workflow — rapid 10-minute library prep and no bisulfite conversion required

Directly detect DNA and RNA methylation with high reproducibility and low bias

Using nanopore sequencing, researchers have directly identified DNA and RNA base modifications at single-nucleotide resolution, including 5mC, 5hmC, 6mA, and BrdU in DNA, and m6A in RNA, with detection of further natural or synthetic epigenetic modifications possible through training basecalling algorithms.

One of the most widespread genomic modifications is 5-methylcytosine (5mC), which most frequently occurs at CpG dinucleotides in the human genome. Benchmarking genome-wide nanopore 5mC detection against whole-genome, short-read bisulfite sequencing, the traditional method of 5mC detection, has shown nanopore sequencing to enable gold-standard 5mC calling (Figure 1). Nanopore technology calls a higher number of CpG positions in the human genome, requires less sequencing data, and shows more even genomic coverage; analysis runtime is also significantly shorter.

View the methylation benchmarking poster

Benefits of nanopore technology over traditional bisulfite sequencing for methylation analysis:

  • More even genomic coverage with lower GC bias
  • Higher number of CpG positions called at lower read depth
  • Simplified haplotype phasing of methylated bases using long reads
  • Greater experimental reproducibility
  • Considerably faster data analysis
Interested in methylation calling for cancer research?

Figure 1: Benchmarking of 5mC calling in DNA was performed with genomic data from two replicates of human genome HG002 at 20x depth of coverage (ONT_1, ONT_2) and 40x coverage (ONT_3). All samples were analysed using the Remora algorithm within the Guppy basecaller, phased with clair3, and aggregation was performed with modbam2bed. Nanopore methylation data was compared to publicly available bisulfite datasets. View the poster for further data analysis information.

Nanopore read depth is more uniform than the bisulfite data (Fig. 1b), maps completely to the genome (Fig. 1c) and requires far less analysis time than bisulfite data (Fig. 1d). The nanopore data showed a higher percentage of successfully called CpGs (>90%) at 20x overall read depth (Fig. 1e). Nanopore 5mC calls correlate well with bisulfite (0.94) and are highly reproducible (0.95) (Fig. 1f). Ultra-Long HG002 data was also generated using the Ultra-Long DNA Sequencing Kit, producing a N50 of 80 kb and a mapped coverage of 35x of the human genome, enabling phasing and haplotype-resolved methylation analysis across 90% of the called CpGs and >80% of the CpGs in the human genome (Fig. 1g).

Figure 2. RRMS combines adaptive sampling with methylation calling of native DNA using Remora. Comparison with RRBS showed RRMS retains a higher proportion of data than RRBS, gives a higher proportion of on-target reads, and more even coverage in paired tumour/normal cell line clinical research samples.

View RRMS poster

Target important genomic regions without PCR for cost-effective characterisation of methylation patterns

Reduced-representation bisulfite sequencing (RRBS) is frequently used to perform methylation analysis without the need for whole-genome sequencing; however, the method is expensive and time consuming. Reduced-Representation Methylation Sequencing (RRMS) with Oxford Nanopore enables cost-effective, genome-wide characterisation of methylation patterns across regions of interest. RRMS utilises adaptive sampling: a real-time, flexible, and precise method to enrich for regions of interest by depleting off-target regions during a sequencing run, without requiring special library preparation steps.

With adaptive sampling, Oxford Nanopore offers a flexible, PCR-free method of targeted methylation detection — whether in a single target, a panel of genes, or across multiple, large regions of interest.

Knowledge exchange: decoding the epigenome with Oxford Nanopore real-time methylation detection

In this Knowledge exchange, we focus on the relevance of modifications, particularly DNA methylation at the fifth position of cytosine (5mC), in studying disease mechanisms in humans. We present benchmarking results against other techniques and cover essential information for modification analysis, including modkit's new features. Lastly, we showcase the benefits of using native Oxford Nanopore sequencing for modification calling in real-world applications with high accuracy reads.

Case study

Into the unknown: the epigenetics of repetitive DNA

we are just scratching the surface about unveiling epigenetic control of these [repetitive] regions

Ariel Gershman, Johns Hopkins University, USA

Long nanopore sequencing reads and direct epigenetic modification detection enable the characterisation of methylation in repeat-rich regions, making it possible to characterise the epigenetics of large repetitive arrays in the human genome — previously unexplored with traditional short-read sequencing. Find out how Gershman et al. used PCR-free nanopore sequencing to discover long-range, allele-specific DNA methylation patterns across higher order repeats at chromosome centromeres in the human genome.

case study

MeOW: genome-wide identification of differentially methylated regions using Oxford Nanopore long-read sequencing data

With direct nanopore sequencing, it is possible to characterise differentially methylated regions (DMRs) that may contribute to disease or act as biomarkers. Discover how Miranda Galey and her team developed a method to identify DMRs in clinical research samples, showing potential utility to rapidly identify disease-causing variants missed by traditional technologies.

The advantages of long-read sequencing are that we can use SNPs, indels, structural variants, and methylation and all from the same source.

Miranda Galey, University of Washington, USA

Sequencing workflow

How do I prepare and sequence samples for methylation detection?

Amplification-free library preparation is required in order to maintain base modifications. For DNA sequencing, we recommend the Ligation Sequencing Kit. For RNA modification analysis, the Direct RNA Sequencing Kit is required. Nanopore sequencing is the only currently available technology that allows direct sequencing of native RNA, with no requirement for amplification or reverse transcription.

PromethION is suitable for high-throughput epigenetic studies of larger genomes, such as human and many plant genomes, whilst MinION and GridION devices are ideal for epigenetic analysis of microbial genomes or eukaryotic transcriptomes and targeted genomic regions.

View workflow

How do I analyse base modifications?

For gold-standard methylation calling in the human genome, we recommend activating the desired methylation option in MinKNOW — the software onboard nanopore sequencing devices. This method provides real-time 5mC and 5hmC methylation calling in CpG regions alongside high-accuracy basecalling. Methylation calling is also available for 5mC/5hmC and 6mA in all genomics contexts alongside the super accuracy (SUP) basecalling model.

The preconfigured workflow wf-human-variation, available in our data analysis platform EPI2ME, enables the concurrent analysis of methylation, structural variations (SVs), and single nucleotide variations (SNVs). EPI2ME workflows are designed to accommodate users of all levels of bioinformatics expertise and can be executed via an intuitive graphical interface or from the command line. For more advanced applications, such as training your own models to detect additional epigenetic modifications, the Dorado repository can be accessed on GitHub.

The Genome in a Bottle consortium’s Ashkenazi Trio samples were sequenced on two PromethION Flow Cells with the Ligation Sequencing Kit and analysed using the wf-human-variation workflow. Try out the analysis tools with this nanopore dataset, which can be found here.

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Genome-wide detection of methylation in humans

For detection of modified bases across the whole human genome, we recommend the following:


Ligation Sequencing Kit

Human methylation analysis


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