Back

Beyond Bisulfite Sequencing: Resolving 5-hmC with Nanopore Sequencing Unmasks the True-5mC Methylation Entropy Landscape

Bertocchi, U.; Katz, E.; Jeffet, J.; Grunwald, A.; Gabay, N.; Deek, J.; Verma, S.; Shwartz, A.; Umschweif-Nevo, G.; Lerer, B.; Roichman, Y.; Ebenstein, Y.

2026-07-08 bioinformatics
10.64898/2026.07.08.736699 bioRxiv
Show abstract

DNA methylation dynamically regulates cellular function and phenotype. At the tissue level, stochastic variation in methylation patterns, measured as methylation entropy, drives plasticity, development, cancer, and aging. Demethylation is facilitated by erasure of 5-methylcytosine (5mC) via the oxidized intermediate 5-hydroxymethylcytosine (5hmC), but bisulfite sequencing cannot distinguish these modifications, classifying both as 5mC. Using nanopore sequencing with direct detection of 5mC and 5hmC, we quantified how this historical conflation affects genome-wide methylation levels and methylation entropy in kidney cancer and the mouse medial prefrontal cortex. Bisulfite-like analysis introduced systematic, tissue-specific shifts in methylation distributions, influencing biological interpretation. However, these effects were modest in the low-5hmC kidney cancer samples, where pathway-level results remained highly concordant. Our findings demonstrate that True-5mC-based methylation entropy redefines the physical mapping of epigenomes, demonstrating that, in some contexts, what was previously interpreted as stochastic maintenance failure is frequently the structured signature of distinct, mechanistically interpretable cytosine biochemistry.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 4%
26.3%
2
Molecular Cell
350 papers in training set
Top 0.7%
7.8%
3
Science Advances
1243 papers in training set
Top 2%
7.2%
4
Genome Biology
637 papers in training set
Top 2%
5.4%
5
Cell Reports
1498 papers in training set
Top 10%
4.0%
50% of probability mass above
6
Nature Biotechnology
172 papers in training set
Top 1%
3.4%
7
Nucleic Acids Research
1281 papers in training set
Top 6%
3.2%
8
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 17%
3.2%
9
Nature Methods
385 papers in training set
Top 3%
3.1%
10
eLife
5828 papers in training set
Top 36%
3.1%
11
Genome Research
468 papers in training set
Top 3%
2.4%
12
Cell
431 papers in training set
Top 4%
2.4%
13
Nature Metabolism
69 papers in training set
Top 0.9%
2.1%
14
Advanced Science
286 papers in training set
Top 4%
2.1%
15
Communications Biology
993 papers in training set
Top 14%
1.7%
16
Scientific Reports
3612 papers in training set
Top 55%
1.7%
17
Nature
645 papers in training set
Top 9%
1.1%
18
Science
477 papers in training set
Top 8%
1.0%
19
Epigenetics
50 papers in training set
Top 0.5%
1.0%
20
Cell Genomics
172 papers in training set
Top 4%
1.0%
21
Genome Medicine
183 papers in training set
Top 5%
1.0%
22
Clinical Epigenetics
60 papers in training set
Top 0.5%
0.9%
23
iScience
1154 papers in training set
Top 35%
0.8%
24
Cell Systems
201 papers in training set
Top 5%
0.8%
25
PLOS Biology
486 papers in training set
Top 14%
0.6%
26
Nature Cell Biology
118 papers in training set
Top 4%
0.6%