Evidence map›Paper›PMID 39386650›Full record

ArticlebioRxiv : the preprint server for biology2024

Mechanistic model for epigenetic maintenance by methyl-CpG-binding domain proteins.

Liuhan Dai, Alexander Johnson-Buck, Nils G Walter

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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

3 authors.

Liuhan DaiSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.
Alexander Johnson-BuckSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.
Nils G WalterSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

The RNA nanomachines of the gene expression machinery dissected at the single molecule levelR35GM131922 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NILS G WALTER · 2019 to 2026
$6.9M
Highly specific, amplification-free, single-molecule counting of rare methylated DNA cancer biomarkersR21CA225493 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TEWARI, MUNEESH, WALTER, NILS G · 2020 to 2020
$609k
NCI NIH HHS R21 CA225493NIGMS NIH HHS R35 GM131922
6 · The paper itself

Abstract

DNA methylation is a fundamental element of epigenetic regulation that is governed by the MBD protein superfamily, a group of "readers" that share a highly conserved methyl-CpG-binding domain (MBD) and mediate chromatin remodeler recruitment, transcription regulation, and coordination of DNA and histone modification. Previous work has characterized the binding affinity and sequence selectivity of MBD-containing proteins toward palindromes of 5-methylcytosine (5mC) containing 5mCpG dinucleotides, often referred to as single symmetrically methylated CpG sites. However, little is known about how MBD binding is influenced by the prototypical local clustering of methylated CpG sites and the presence of DNA structural motifs encountered, e.g., during DNA replication and transcription. Here, we use Single-Molecule Kinetics through Equilibrium Poisson Sampling (SiMKEPS) to measure precise binding and dissociation rate constants of the MBD of human protein MBD1 to DNAs with varying patterns of multiple methylated CpG sites and diverse structural motifs. MBD binding is promoted by two major properties of its DNA substrates: 1) tandem (consecutive) symmetrically methylated CpG sites in double-stranded DNA and secondary structures in single-stranded DNA; and 2) DNA forks. Based on our findings, we propose a mechanistic model for how MBD proteins contribute to epigenetic boundary maintenance between transcriptionally silenced and active genome regions.

Identifiers

PMID39386650
PMCPMC11463468

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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.