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Epigenetics

DNA methylation sequencing: where the chemical switches on your DNA differ between groups.

Bisulfite sequencing measures methylation at single CpG sites across the genome or its CpG-rich regions, then finds the sites, regions and promoters that changed and the genes they sit in.

Pipette tip placing a drop of blue liquid on a glass slide
How it works

A chemical trick makes methylation readable.

DNA methylation is a small chemical tag on the letter C that helps switch genes on and off without changing the DNA sequence. In animals it sits mostly where a C is followed by a G, a CpG site. Plants also methylate Cs in other contexts.

Sequencers cannot see the tag directly, so the DNA is treated with bisulfite first. Bisulfite turns every unmethylated C into T, while methylated C stays C. After sequencing, each C that is still a C marks a methylated site.

Counting reads at each site gives its methylation level: 9 reads with C out of 10 means 90% methylated. Comparing these levels between groups reveals single sites, regions and promoters that gained or lost methylation.

Whole-genome bisulfite sequencing (WGBS) reads the entire genome. Reduced-representation bisulfite sequencing (RRBS) cuts the DNA with an enzyme and reads only CpG-rich fragments, which covers most promoters for far less sequencing.

Diagram: a DNA sequence before and after bisulfite, with the methylated C unchanged and unmethylated Cs turned into T; aligned reads with two highlighted sites; bars showing 92% and 8% methylation.
Bisulfite turns unmethylated C into T. Reads lined up against the original sequence show which Cs stayed C, and counting many reads gives each site’s methylation level. Tap the diagram to enlarge it.

Key terms

CpG site
A place where the letter C is followed by G. The main target of methylation in mammals.
Bisulfite conversion
A chemical treatment that turns unmethylated C into T and leaves methylated C unchanged.
Methylation level
The share of reads at a site that show methylation, from 0% to 100%.
DMR
Differentially methylated region: a stretch of DNA whose methylation differs between groups.
Hyper- and hypomethylation
More or less methylation in one group than in the other.
RRBS
Bisulfite sequencing of the CpG-rich part of the genome, selected with a restriction enzyme.
Questions this answers

Bring the question. We design the experiment around it.

  • Where does methylation differ between my groups, at single sites and across regions?
  • Which gene promoters gain or lose methylation?
  • Is the change mostly a gain or a loss of methylation?
  • Do my samples group by treatment on their methylation alone?

Where it is used

  • Development and differentiationMethylation changes as cells specialise or organisms age.
  • Disease mechanismsPromoter methylation changes linked to disease states.
  • Environment and treatmentGroups exposed to different conditions, diets or treatments.
  • Plant biology and cropsMutants, stress responses and traits, including plant-specific methylation contexts.
  • Biomarker discoveryMethylation differences that separate groups.
  • Lines and mutantsWild type compared with knockout or mutant lines.
Your project

Four steps from DNA to changed regions.

  1. Step 1

    Choose WGBS or RRBS

    We match the method to your question and sample numbers: whole genome for discovery, RRBS for more samples focused on promoters.

  2. Step 2

    Check the DNA

    DNA amount and integrity are checked before bisulfite treatment and library preparation.

  3. Step 3

    Convert and sequence

    Bisulfite treatment, library preparation and sequencing to the agreed depth.

  4. Step 4

    Analyse and report

    Methylation is called at every covered CpG, then sites, regions and promoters are compared, annotated to genes and tested for pathways.

Results

What the analysis shows you.

  • Line chart of the share of CpG sites at each methylation level for four control and four treated samples; all curves peak near 0% and 100%.

    Data quality at a glance

    Most CpG sites are almost fully methylated or unmethylated, and every sample shows the same pattern, a sign of consistent data.

  • Grouped bar chart of regions that gained or lost methylation in promoters, exons, introns and intergenic DNA.

    Where the changes fall

    Regions that gained or lost methylation, sorted by where they sit relative to genes.

  • Dendrogram of eight samples clustered by methylation profile; the four treated and four control samples form separate branches.

    Do the samples group?

    Samples clustered by their methylation profiles. Treated and control samples form two separate branches.

Included as standard every project

  • Quality control and alignmentReads are trimmed and aligned with a bisulfite-aware aligner.
  • Methylation callingThe methylation level of every CpG covered by at least 10 reads.
  • Sample overviewCorrelation, PCA and clustering of samples.
  • Differential methylationChanged sites, 1 kb regions and promoters, split into gains and losses.
  • Annotation and pathwaysChanged regions linked to genes and promoters, with GO and KEGG enrichment.

Added for your question custom

  • Plant methylation contextsCHG and CHH methylation in addition to CpG for plant genomes.
  • RRBS for larger studiesThe CpG-rich part of the genome for more samples.
  • Several comparisonsSeparate results for each pair of groups.
Typical project

What goes in, and how we run it.

Methods
Whole-genome bisulfite sequencing (WGBS) · reduced-representation bisulfite sequencing (RRBS)
Sequencing
Illumina NovaSeq X Plus, 150 bp read pairs
Typical depth
About 30× genome coverage for WGBS
Resolution
Single CpG sites, 1 kb regions and promoters
Samples
Tissue, blood, cells and plants
Main tools
Bismark, nf-core/methylseq, methylKit, clusterProfiler
Two-panel figure: a, heatmap of methylation levels for the 30 most changed regions across four control and four treated samples; b, volcano plot of regions with gained methylation in teal and lost methylation in coral.
Fig. 1 | Methylation differences between groups. a, The 30 most changed regions in each sample; the upper block gained methylation after treatment, the lower block lost it. b, All tested regions by methylation difference and significance.
What you receive

Figures, interpretation and Methods, ready for the manuscript.

  • ReportInterpretation written against your hypothesis
  • FiguresPublication-ready figures for the manuscript
  • MethodsMaterials & Methods text for the paper
  • Tables and dataAll results as tables, plus the processed data files
Choosing a method

WGBS or RRBS?

Send us the question and we recommend one, including when the cheaper option is enough.

AspectWGBSRRBS
CoversCpG sites across the whole genomeCpG-rich regions such as promoters and CpG islands
Sequencing per sampleMuch moreMuch less, so more samples fit
PlantsAll methylation contextsMainly CpG-rich regions
Best whenDiscovery, and regions outside CpG islandsLarger studies focused on promoters
Questions

Before you send samples

Related services

WGBS or RRBS?

WGBS reads CpG sites across the whole genome and suits discovery. RRBS reads the CpG-rich fragments, including most promoters, for a fraction of the sequencing, so more samples fit the budget.

How deep should WGBS be?

About 30× genome coverage for human and other large genomes. Each CpG site needs at least 10 reads before it enters the statistics, and the depth is planned around that.

How many replicates do I need?

At least two biological replicates per group, as in the ENCODE standard. More replicates make smaller differences detectable.

What is the difference between a site, a region and a promoter result?

A site is a single CpG. A region is a 1 kb stretch of DNA. A promoter result covers 2 kb upstream to 500 bases downstream of a gene start. Each is reported as a gain or a loss of methylation.

Can you study plants?

Yes. Plants carry methylation in CpG, CHG and CHH contexts, and the analysis covers all three. Pathway enrichment is based on CpG sites.

Do I need a reference genome?

Yes. Bisulfite reads are aligned to a reference genome. Human, mouse, rat, barley and tomato are ready to use.

I already have bisulfite data. Can you analyse it?

Yes. Send the raw FASTQ files and tell us whether the libraries are WGBS or RRBS.

The 100% Complete Project Guarantee

If something goes wrong on this project, you pay €0 to fix it.

  • Sample problems €0
  • Library prep redo €0
  • Resequencing €0
  • Reviewer re-analysis €0