Evidence map›Paper›PMID 37333391›Full record

ArticlebioRxiv : the preprint server for biology2023

Differential usage of DNA modifications in neurons, astrocytes, and microglia.

Kyla B Tooley, Ana J Chucair-Elliott, Sarah R Ocañas, Adeline H Machalinski, Kevin D Pham, David R Stanford, Willard M Freeman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

7 authors.

Kyla B TooleyDepartment of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA.
Ana J Chucair-ElliottGenes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK USA.
Sarah R OcañasDepartment of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA.
Adeline H MachalinskiGenes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK USA.
Kevin D PhamGenes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK USA.
David R StanfordCenter for Biomedical Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK USA.
Willard M FreemanDepartment of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK USA.

Funding

Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HOLLY VAN REMMEN · 2015 to 2026
$13.9M
GEROSCIENCE TRAINING PROGRAM IN OKLAHOMAT32AG052363 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Benjamin Francis Miller, William Edmund Sonntag · 2017 to 2026
$3.6M
Sex divergence and cell specificity of age-related hippocampal DNA modificationsR01AG059430 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2019 to 2023
$2.7M
Sex chromosomal regulation of hippocampal microglial activation with Alzheimer's disease and agingDP5OD033443 · OD · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI OCANAS, SARAH RENEE · 2022 to 2025
$2.2M
Epigenetic regulation of sexually divergent neuroinflammation with brain aging and Alzheimer's diseaseF31AG064861 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI OCANAS, SARAH RENEE · 2019 to 2021
$94k
BLRD Research Career Scientist Award ApplicationIK6BX006033 · VA · OKLAHOMA CITY VA MEDICAL CENTER · PI FREEMAN, WILLARD M · 2022 to 2025
–
Dynamics of the brain epigenome with agingI01BX003906 · VA · OKLAHOMA CITY VA MEDICAL CENTER · PI FREEMAN, WILLARD M · 2018 to 2021
–
BLRD VA I01 BX003906BLRD VA IK6 BX006033NIA NIH HHS F31 AG064861NIA NIH HHS P30 AG050911NIA NIH HHS R01 AG059430NIA NIH HHS T32 AG052363NIH HHS DP5 OD033443
6 · The paper itself

Abstract

Background: Cellular identity is determined partly by cell type-specific epigenomic profiles that regulate gene expression. In neuroscience, there is a pressing need to isolate and characterize the epigenomes of specific CNS cell types in health and disease. This is especially true as for DNA modifications where most data are derived from bisulfite sequencing that cannot differentiate between DNA methylation and hydroxymethylation. In this study, we developed an Results: After validating the cell-specificity of the Camk2a-NuTRAP model, we performed TRAP-RNA-Seq and INTACT whole genome oxidative bisulfite sequencing to assess the neuronal translatome and epigenome in the hippocampus of young mice (3 months old). These data were then compared to microglial and astrocytic data from NuTRAP models. When comparing the different cell types, microglia had the highest global mCG levels followed by astrocytes and then neurons, with the opposite pattern observed for hmCG and mCH. Differentially modified regions between cell types were predominantly found within gene bodies and distal intergenic regions, with limited differences occurring within proximal promoters. Across cell types there was a negative correlation between DNA modifications (mCG, mCH, hmCG) and gene expression at proximal promoters. In contrast, a negative correlation of mCG with gene expression within the gene body while a positive relationship between distal promoter and gene body hmCG and gene expression was observed. Furthermore, we identified a neuron-specific inverse relationship between mCH and gene expression across promoter and gene body regions. Conclusions: In this study, we identified differential usage of DNA modifications across CNS cell types, and assessed the relationship between DNA modifications and gene expression in neurons and glia. Despite having different global levels, the general modification-gene expression relationship was conserved across cell types. The enrichment of differential modifications in gene bodies and distal regulatory elements, but not proximal promoters, across cell types highlights epigenomic patterning in these regions as potentially greater determinants of cell identity.

Indexed as

Brainepigenomicsgenome regulationhydroxymethylationmethylationregulatory elements

Identifiers

PMID37333391
PMCPMC10274634

What OpenQuestion holds

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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.