Recent advances in next-generation sequencing (NGS) enable researchers to simultaneously capture both genetic and epigenetic information in a single analysis.
Traditional sequencing techniques have been limited to the four DNA bases. However, new technologies now allow for the detection of epigenetic modifications, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), providing comprehensive genetic and epigenetic insight.
This infographic explores how this "6-base genome" approach helps researchers better understand gene expression and disease mechanisms by integrating epigenetic markers with genetic data.
Download this infographic to explore:
- How 6-base genome sequencing enhances genetic and epigenetic analysis
- Methods for accurately detecting 5mC and 5hmC in gene regulation
- The benefits of using multiomic data for predictive models of disease
Reveal the Power of
the 6-Base Genome
From a Single DNA
Molecule
Liquid
biopsy
Cancer
research
Neurodegenerative
disease
Aging Precision
medicine
Mapping the role
of 5mC and 5hmC
The methylated bases 5mC and 5hmC are subject to dynamic
regulation and can be influenced by various environmental factors,
developmental stages and disease states.2 5mC and 5hmC
modifications play critical roles in gene expression regulation in a
cell-type-specific manner.
Differentiating between them provides insight into the dynamic nature of DNA methylation and its impact on:
• Closed chromatin
• Repression of gene expression
• Stable regional silencing
• Euchromatin vs heterochromatin
Methylation
• Opening chromatin
• Enhancing gene expression
• Gene activation
Hydroxymethylation
Gene expression Cellular growth Disease development
Conventional
versus 6-base
analysis
The conventional 4-base approach sequences the DNA bases
A, T, G and C. Adding the detection of 5mC and 5hmC creates the
the 6-base genome. This approach provides a comprehensive view
of genetic and epigenetic information in a single DNA fragment.
Detailed insight into the interplay between genetic information and
5mC and 5hmC epigenetic markers can now be gathered using a
single sample to provide vast amounts of biologically relevant data.
Building predictive
models with the
6-base genome
As 5mC and 5hmC modifications have opposing functional roles,
distinguishing between these two states allows researchers to
develop predictive models. These models can help to determine
gene expression patterns, establish chromatin accessibility and
identify disease susceptibility.
Key applications in
translational research
Combinatorial genetic and epigenetic insight also unlocks new
avenues of exploration across a range of applications.
What you can get:
Sequence of the
genome
Point mutations,
insertions, deletions
Known variants
associated with
disease
What you can't get:
DNA modifications
Gene expression
information
Environmental
changes
What you can get:
Limited 4-base and
modified cytosine
information
Limited 4-base and
modified cytosine
information
What you can't get:
Differentiated
methylation states,
conferred by 5mC
and 5hmC, that
have opposing
functionalities for
gene expression
and chromatin
status
• Somatic vs
germline mutations
• Methylation status of
control elements
• Differentially methylated
regions (DMR)
• Variant associated
methylation (VAM) and
hydroxymethylation
(VAhM)
Multidimensional
insights from a
single sample
Conventional 4-base approach Conventional DNA methylation
sequencing
Groundbreaking 6-base analysis
6-base genome - with duet multiomics solution evoC
Predicting biological outcomes
This predictive insight enables you to:
5ng duet assay duet software 6-base genome
multiomics data
Genomics, epigenomics,
transcriptomic,
multiomics data analysis
Sequencing
Gather complete information in a single workflow from a single DNA sample
Combined genome and methylome
Full genetic sequence including variants
Epigenetic sequence differentiating
between 5mC and 5hmC
duet bioinformatics pipeline
5hmC
5mc
Deconvolution of DNA encoded
epigenetics can be correlated with
the dynamic state of the genome.
5hmC and 5mC information can
be used to train machine learning
models of chromatin dynamics
and gene expression.
Models can be used to classify
enhancer states based on their
5mC and 5hmC levels only.
• Explore how methylation
and hydroxymethylation
influence gene expression.
• Discover sensitive
multimodal biomarkers
for disease.
• Understand and track
the biology through
disease stages.
Chromatin accessibility Gene expression levels Enhancer status
Cancer research Liquid biopsy Neurodegenerative diseases
• Identify intra-tumoral
heterogeneity.
• Discover novel biomarkers that
elucidate cancer stage.
• Analyze potential biomarkers
for non-invasive, earlier cancer
detection.
• Explore the relationship
between genetic variants and
changes in DNA methylation.
• Study underlying molecular
mechanisms.
• Provide insight into disease with
no clear genetic cause.
Unlock transformative
insights with duet evoC
Integrating information on the four canonical bases with
5mC and 5hmC epigenetic markers enables researchers
to generate genomic, epigenomic, transcriptomic and
multiomic data that can fuel cutting-edge developments
in translational research.
Traditional next-generation sequencing (NGS)
techniques are limited to the four bases and therefore
can’t capture epigenetic nuances. Conventional
epigenetic profiling tools also fail to detect C-to-T
mutations or distinguish 5-methylcytosine (5mC) from
5-hydroxymethylcytosine (5hmC) modifications.
But novel technological advancements are enabling the
simultaneous sequencing of genetic and epigenetic
bases. This infographic explores the 6-base genome
and how it enables the exploration of epigenetic
mechanisms of gene regulation through methylation
and hydroxymethylation. Now, researchers are able to
obtain an accurate measurement of 5mC and 5hmC,
integrated into local genetic context, with >95% of bases
above Q30 and 50% with accuracy above Q40. By
measuring multiple modes of biology from a single lowinput DNA sample in a single experiment, researchers
can use the comprehensive data to build predictive
models of gene expression, chromatin accessibility and
enhancer status to better understand the biological
mechanisms that link genotype to phenotype.1
Genetic analysis provides insight into the information stored in the genome which, with
limited exceptions, is relatively stable throughout an individuals' lifespan. In contrast,
epigenetic changes govern cell differentiation and regulate gene expression in a more
dynamic way, that is susceptible to environmental influences and aging. However, until
recently, simultaneously sequencing both types of information has been challenging.
Cancer Cardiovascular
disease
Metabolic
disorders
Autoimmune
disorders
Genetics
Sequence of 4 bases
(A-T-C-G) determines
sequence of amino acids
in encoded proteins
?
5mC
5hmC
Aligned 6-base genome. Multiomic
data generation for analysis, BAM, VCF,
BEDmethyl, ASM reports.
5
Ref genome
Resolved reads
Sequencing paired-end read generates
sequence information of the original and
copied strand on a single molecule.
3
Read resolution uses the original and
copied information to correctly call all 4
bases, 5mC and 5hmC.
4
Original
Resolved read (4 bp) +
(5mC, 5hmC)
Copy
R1
R2
Hairpin technology creates a single
molecule with a direct copy of the original
information to prevent information loss and
enable base pair alignment calling to reduce
errors. The methylation copy step copies
methylation from 5mC on the original strand
to the copy strand.
1
Strand synthesis, copy methylation
Original
Copy
R1
R2
C 5mC 5hmC
Protection, deamination and PCRmethylated cytosine (5mC and 5hmC) are
protected. All unprotected cytosines are
deaminated to uracil and subsequently
converted to thymine during PCR.
2
Protection, deamination, PCR, NGS
R1
R2
References
1. Füllgrabe J, Gosal WS, Creed P, et al. Simultaneous sequencing of genetic and epigenetic bases in DNA. Nat Biotechnol.
2023;41:1457–1464. doi:10.1038/s41587-022-01652-0
2. Breiling A, Lyko F. Epigenetic regulatory functions of DNA modifications: 5-methylcytosine and beyond. Epigenetics &
Chromatin. 2015;8:24. doi:10.1186/s13072-015-0016-6
5mC 5hmC
T
Which epigenetic
changes drive cellular
differentiation
pathways?