Evidence map›Paper›PMID 41585936›Full record

ArticleComputational and structural biotechnology journal2026

Biochemical engineering of 5hmdC-DNA using a Tet3 double-mutant.

Hanife Sahin, Shariful Islam, A Hyeon Lee, Irene Ponzo, Kilian Winiger, Andreas Reichl, Thomas Carell, Pascal Giehr

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hanife SahinDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
Shariful IslamDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
A Hyeon LeeDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
Irene PonzoDynamic Biosensors GmbH, München, Germany.
Kilian WinigerDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
Andreas ReichlDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
Thomas CarellDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.
Pascal GiehrDepartment of Chemistry, Institute of Chemical Epigenetics, Ludwig-Maximilians-Universität München, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

5-Hydroxymethyl-2'-deoxycytidine (5hmdC) is an important epigenetic marker involved in gene regulation and DNA demethylation. It has potential use as a biomarker for cancer and other diseases due to its significant depletion in various cancers and disease models. This research aimed to develop a reliable and efficient method for generating 5hmdC-containing DNA, addressing limitations in existing techniques. We created a Tet3 stalling mutant that converts 5-methyl-2'-deoxycytidine (5mdC) into a mixture of 5hmdC and 5-formyl-2'-deoxycytidine (5fdC), followed by a reduction step to convert 5fdC to 5hmdC, ensuring a pure 5hmdC state within the CpG context. This method can convert any PCR product, synthetic oligos, and entire genomes into 5hmdC-modified DNA. The principal results demonstrate high specificity and efficiency, providing a robust tool for epigenetic research, cancer diagnostics, and protein binding assays. Additionally, our technique offers 5hmdC-DNA for functional studies and as standards for diagnostic assays.

Indexed as

5-hydroxymethyl-2′-deoxycytidineOxidationReductionTet enzyme

Identifiers

PMID41585936
PMCPMC12830177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.