Evidence map›Paper›PMID 39026756›Full record

ArticlebioRxiv : the preprint server for biology2024

Decoding the Epigenetic Landscape: Insights into 5mC and 5hmC Patterns in Mouse Cortical Cell Types.

Xiaoran Wei, Jiangtao Li, Zuolin Cheng, Songtao Wei, Guoqiang Yu, Michelle L Olsen

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

6 authors.

Xiaoran WeiBiomedical and Veterinary Sciences Graduate Program, Virginia Tech, Blacksburg, VA, the United States.ORCID 0009-0007-8323-4660
Jiangtao LiSchool of Neuroscience, Virginia Tech, Blacksburg, VA, the United States.
Zuolin ChengBradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States.
Songtao WeiBradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States.
Guoqiang YuBradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States.
Michelle L OlsenSchool of Neuroscience, Virginia Tech, Blacksburg, VA, the United States.

Funding

TrkB.T1 signaling in astrocytesR01NS120746 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI OLSEN, MICHELLE L · 2021 to 2025
$1.7M
NINDS NIH HHS R01 NS120746
6 · The paper itself

Abstract

The DNA modifications, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), represent powerful epigenetic regulators of temporal and spatial gene expression. Yet, how the cooperation of these genome-wide, epigenetic marks determine unique transcriptional signatures across different brain cell populations is unclear. Here we applied Nanopore sequencing of native DNA to obtain a complete, genome-wide, single-base resolution atlas of 5mC and 5hmC modifications in neurons, astrocytes and microglia in the mouse cortex (99% genome coverage, 40 million CpG sites). In tandem with RNA sequencing, analysis of 5mC and 5hmC patterns across cell types reveals astrocytes drive uniquely high brain 5hmC levels and support two decades of research regarding methylation patterns, gene expression and alternative splicing, benchmarking this resource. As such, we provide the most comprehensive DNA methylation data in mouse brain as an interactive, online tool (

Indexed as

5hmC5mCastrocytecortexDNA methylationmicroglianeuron

Identifiers

PMID39026756
PMCPMC11257419

What OpenQuestion holds

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Registered trials

None linked

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.