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  5. Epigenome-wide profiling in the dorsal raphe nucleus highlights cell-type-specific changes in<i>TNXB</i>in Alzheimer’s disease

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Preprint
en
2023

Epigenome-wide profiling in the dorsal raphe nucleus highlights cell-type-specific changes in<i>TNXB</i>in Alzheimer’s disease

0 Datasets

0 Files

en
2023
DOI: 10.1101/2023.08.28.555168

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Manel Esteller
Manel Esteller

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Renzo J. M. Riemens
Ehsan Pishva
Artemis Iatrou
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Abstract

Abstract Recent studies have demonstrated that the dorsal raphe nucleus (DRN) is among the first brain regions affected in Alzheimer’s disease. Hence, in this study we conducted the first comprehensive epigenetic analysis of the DRN in AD, targeting both bulk tissue and single isolated cells. The Illumina Infinium MethylationEPIC BeadChip array was used to analyze the bulk tissue, assessing differentially modified positions (DMoPs) and regions (DMoRs) associated with Braak stage. The strongest Braak stage-associated DMoR in TNXB was targeted in a second patient cohort utilizing single laser-capture microdissected serotonin-positive (5-HT+) and -negative (5-HT-) cells isolated from the DRN. Our study revealed previously identified epigenetic loci, including TNXB and PGLYRP1 , and novel loci, including RBMXL2 , CAST , GNAT1 , MALAT1 , and DNAJB13 . Strikingly, we found that the methylation profile of TNXB depends both on disease phenotype and cell type analyzed, emphasizing the significance of single cell(-type) neuroepigenetic studies in AD.

How to cite this publication

Renzo J. M. Riemens, Ehsan Pishva, Artemis Iatrou, Janou A. Y. Roubroeks, Jennifer Nolz, Roy Lardenoije, Mourad W. Ali, Antonio del Sol, Raúl Delgado‐Morales, Manel Esteller, Günter Kenis, BPF Rutten, Klaus‐Peter Lesch, Stephen D. Ginsberg, Paul D. Coleman, Jonathan Mill, Diego Mastroeni, Alfredo Ramı́rez, Thomas Haaf, Katie Lunnon, DLA van den Hove (2023). Epigenome-wide profiling in the dorsal raphe nucleus highlights cell-type-specific changes in<i>TNXB</i>in Alzheimer’s disease. , DOI: https://doi.org/10.1101/2023.08.28.555168.

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Publication Details

Type

Preprint

Year

2023

Authors

21

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2023.08.28.555168

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