Evidence map›Paper›PMID 41965504›Full record

ArticleBMC genomics2026

MeDReaders 2.0: an updated database for modified DNA readers.

Hongfei Li, Murong Zhou, Ximei Luo, Guohua Wang

Abstract read
In one paragraph

Article in BMC genomics, 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
–field-weighted citation impact
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

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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

4 authors.

Hongfei LiInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Murong ZhouCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.
Ximei LuoInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, China. luoximei@uestc.edu.cn.
Guohua WangCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China. ghwang@nefu.edu.cn.

Funding

National Natural Science Foundation of China 62302342National Natural Science Foundation of China 62371347Zhejiang Provincial Postdoctoral Research Funding Project ZJ2025176
6 · The paper itself

Abstract

Here, we present a significant update to the MeDReaders database and webserver. The new MeDReaders 2.0 covers interactions between transcription factors (TFs) and DNA cytosine modifications that arise during DNA methylation and active demethylation, including 5‑methylcytosine (5mC), 5‑hydroxymethylcytosine (5hmC), 5‑formylcytosine (5fC), and 5‑carboxylcytosine (5caC). Based on TF–modified‑DNA interactions curated from the literature, we extended the original MeDReaders dataset by adding 257 TF–5mC–DNA, 160 TF–5hmC–DNA, 220 TF–5fC–DNA, and 107 TF–5caC–DNA interactions. Using in silico approaches, we integrated whole‑genome bisulfite sequencing (WGBS) and TF ChIP‑seq datasets from the ENCODE and NCBI GEO databases to predict 1,363 TF–5mC–DNA interactions across six human cell lines and one mouse cell line. MeDReaders 2.0 provides a more comprehensive resource for studying how DNA cytosine modifications regulate TF–DNA interactions and for designing related experiments, such as those on dynamic DNA methylation and active demethylation. The updated website is accessible at https://bioinfor.nefu.edu.cn/MeDReaders2.0/ .

Indexed as

Databases, GeneticDNADNA MethylationTranscription Factors5-MethylcytosineAnimalsCytosineHumansMice5-MethylcytosineCytosineDNATranscription FactorsCytosine modificationDNA methylationTranscription factor

Identifiers

PMID41965504
PMCPMC13181967

What OpenQuestion holds

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Registered trials

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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.