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Basic Science and Pathogenesis

ABCA7, an important risk gene for AD, encodes a transporter implicated in lipid transport and phagocytosis, and its disruptions have been linked to AD pathogenesis. However, the impact of these mutations on AD risk is complex due to their interaction with a multifaceted transcriptional architecture...

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Published in:Alzheimer's & dementia 2024-12, Vol.20 Suppl 1, p.e092265
Main Authors: De Deyn, Lara, Duchateau, Lena, Watzeels, Tijs, Vicente, Cristina, Van Dongen, Jasper, Bijnens, Baukje, De Pooter, Tim, De Rijk, Peter, Strazisar, Mojca, Vandenberghe, Wim, Thal, Dietmar Rudolf, Mancuso, Renzo, Rademakers, Rosa, Küçükali, Fahri, Sleegers, Kristel
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container_title Alzheimer's & dementia
container_volume 20 Suppl 1
creator De Deyn, Lara
Duchateau, Lena
Watzeels, Tijs
Vicente, Cristina
Van Dongen, Jasper
Bijnens, Baukje
De Pooter, Tim
De Rijk, Peter
Strazisar, Mojca
Vandenberghe, Wim
Thal, Dietmar Rudolf
Mancuso, Renzo
Rademakers, Rosa
Küçükali, Fahri
Sleegers, Kristel
description ABCA7, an important risk gene for AD, encodes a transporter implicated in lipid transport and phagocytosis, and its disruptions have been linked to AD pathogenesis. However, the impact of these mutations on AD risk is complex due to their interaction with a multifaceted transcriptional architecture and cell type-specificexpression patterns. This study aims to analyze the intricate patterns of ABCA7 expression across diverse cell types, considering various ABCA7 genotypes in relation to AD patients and non-carrier controls, while also exploring the effects of ABCA7 mutations on transcriptome-wide gene expression. To address this complexity, we performed droplet-based single-nuclei RNA sequencing on BA10 brain samples (ABCA7 mutation carriers [n = 9], non-carrier AD patients [n = 6], and non-carrier control [n = 8]) using 10x Chromium library preparation followed by sequencing on a NovaSeq6000 platform. Cell type annotation was performed using scSorter. Differential gene expression was analyzed using limma-voom, and pathway analyses were performed using fgsea in R across cell types and studied groups. We obtained over 400,000 nuclei across 23 samples. Excitatory neurons had the highest proportion of cells expressing ABCA7. However, the highest average expression of ABCA7 was noted in microglia. We detected numerous differentially expressed genes between carrier and non-carrier AD patients (pval_FDR_adj < 0.05 & abs(logFC) >1). Pathway analysis revealed a notable decrease in the expression of translation-related genes in microglia, including those associated with nonsense-mediated mRNA decay, in individuals carrying the mutation. In conclusion, our study unveils distinctive patterns of ABCA7 expression and enriched pathways across major brain cell types, suggesting different roles of ABCA7 in different cell types.
doi_str_mv 10.1002/alz.092265
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However, the impact of these mutations on AD risk is complex due to their interaction with a multifaceted transcriptional architecture and cell type-specificexpression patterns. This study aims to analyze the intricate patterns of ABCA7 expression across diverse cell types, considering various ABCA7 genotypes in relation to AD patients and non-carrier controls, while also exploring the effects of ABCA7 mutations on transcriptome-wide gene expression. To address this complexity, we performed droplet-based single-nuclei RNA sequencing on BA10 brain samples (ABCA7 mutation carriers [n = 9], non-carrier AD patients [n = 6], and non-carrier control [n = 8]) using 10x Chromium library preparation followed by sequencing on a NovaSeq6000 platform. Cell type annotation was performed using scSorter. Differential gene expression was analyzed using limma-voom, and pathway analyses were performed using fgsea in R across cell types and studied groups. We obtained over 400,000 nuclei across 23 samples. Excitatory neurons had the highest proportion of cells expressing ABCA7. However, the highest average expression of ABCA7 was noted in microglia. We detected numerous differentially expressed genes between carrier and non-carrier AD patients (pval_FDR_adj &lt; 0.05 &amp; abs(logFC) &gt;1). Pathway analysis revealed a notable decrease in the expression of translation-related genes in microglia, including those associated with nonsense-mediated mRNA decay, in individuals carrying the mutation. 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source Wiley-Blackwell Open Access Collection; Publicly Available Content Database; PubMed Central
subjects Alzheimer Disease - genetics
Alzheimer Disease - metabolism
ATP-Binding Cassette Transporters - genetics
ATP-Binding Cassette Transporters - metabolism
Brain - metabolism
Female
Humans
Male
Mutation
Transcriptome
title Basic Science and Pathogenesis
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