scholarly journals Modest changes in Spi1 dosage reveal the potential for altered microglial function as seen in Alzheimer’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruth E. Jones ◽  
Robert Andrews ◽  
Peter Holmans ◽  
Matthew Hill ◽  
Philip R. Taylor

AbstractGenetic association studies have identified multiple variants at the SPI1 locus that modify risk and age of onset for Alzheimer’s Disease (AD). Reports linking risk variants to gene expression suggest that variants denoting higher SPI1 expression are likely to have an earlier AD onset, and several other AD risk genes contain PU.1 binding sites in the promoter region. Overall, this suggests the level of SPI1 may alter microglial phenotype potentially impacting AD. This study determined how the microglial transcriptome was altered following modest changes to Spi1 expression in primary mouse microglia. RNA-sequencing was performed on microglia with reduced or increased Spi1/PU.1 expression to provide an unbiased approach to determine transcriptomic changes affected by Spi1. In summary, a reduction in microglial Spi1 resulted in the dysregulation of transcripts encoding proteins involved in DNA replication pathways while an increased Spi1 results in an upregulation of genes associated with immune response pathways. Additionally, a subset of 194 Spi1 dose-sensitive genes was identified and pathway analysis suggests that several innate immune and interferon response pathways are impacted by the concentration of Spi1. Together these results suggest Spi1 levels can alter the microglial transcriptome and suggests interferon pathways may be altered in individuals with AD related Spi1 risk SNPs.

2021 ◽  
Author(s):  
Ruth E. Jones ◽  
Robert Andrews ◽  
Peter Holmans ◽  
Matthew Hill ◽  
Philip R. Taylor

AbstractGenetic association studies have identified multiple variants at the SPI1 locus that modify risk and age of onset for Alzheimer’s Disease (AD). Reports linking risk variants to gene expression suggest that variants denoting higher SPI1 expression are likely to have an earlier AD onset, and several other AD risk genes contain PU.1 binding sites in the promoter region. Overall, this suggests altered levels of SPi1 may alter microglial phenotype potentially impacting AD. This study determined how the mouse microglial transcriptome was altered following modest changes to Spi1 expression in primary microglia. RNA-sequencing was performed on microglia with reduced or increased Spi1/PU.1 expression to provide an unbiased approach to determine transcriptomic changes affected by Spi1. In summary, a reduction in microglial Spi1 resulted in the dysregulation of transcripts encoding proteins involved in DNA replication pathways while an increased Spi1 results in an upregulation of genes associated with immune response pathways. Additionally, a subset of 194 Spi1 dose-sensitive genes was identified and pathway analysis suggests that several innate immune and interferon response pathways are impacted by the concentration of Spi1. Together these results suggest Spi1 levels can alter the microglial transcriptome and suggests interferon pathways may be altered in individuals with AD related Spi1 risk SNPs.


2017 ◽  
Vol 13 (8) ◽  
pp. 933-939 ◽  
Author(s):  
David W. Fardo ◽  
Laura E. Gibbons ◽  
Shubhabrata Mukherjee ◽  
M. Maria Glymour ◽  
Wayne McCormick ◽  
...  

2021 ◽  
Vol 13 ◽  
Author(s):  
David Vogrinc ◽  
Katja Goričar ◽  
Vita Dolžan

Alzheimer's disease (AD) is a complex neurodegenerative disease, affecting a significant part of the population. The majority of AD cases occur in the elderly with a typical age of onset of the disease above 65 years. AD presents a major burden for the healthcare system and since population is rapidly aging, the burden of the disease will increase in the future. However, no effective drug treatment for a full-blown disease has been developed to date. The genetic background of AD is extensively studied; numerous genome-wide association studies (GWAS) identified significant genes associated with increased risk of AD development. This review summarizes more than 100 risk loci. Many of them may serve as biomarkers of AD progression, even in the preclinical stage of the disease. Furthermore, we used GWAS data to identify key pathways of AD pathogenesis: cellular processes, metabolic processes, biological regulation, localization, transport, regulation of cellular processes, and neurological system processes. Gene clustering into molecular pathways can provide background for identification of novel molecular targets and may support the development of tailored and personalized treatment of AD.


2018 ◽  
Vol 107 ◽  
pp. 148-160 ◽  
Author(s):  
Anatoliy I. Yashin ◽  
Fang Fang ◽  
Mikhail Kovtun ◽  
Deqing Wu ◽  
Matt Duan ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P643-P644
Author(s):  
David W. Fardo ◽  
Laura E. Gibbons ◽  
Shubhabrata Mukherjee ◽  
M. Maria Glymour ◽  
Wayne McCormick ◽  
...  

2006 ◽  
Vol 2 ◽  
pp. S23-S23
Author(s):  
Lars Bertram ◽  
Matthew B. McQueen ◽  
Kristina Mullin ◽  
Deborah Blacker ◽  
Rudolph E. Tanzi

2021 ◽  
Author(s):  
Michael E Belloy ◽  
Yann E Le Guen ◽  
Sarah J. Eger ◽  
Valerio Napolioni ◽  
Michael D. Greicius ◽  
...  

Whole-exome sequencing (WES) and whole-genome sequencing (WGS) are expected to be critical to further elucidate the missing genetic heritability of Alzheimer's disease (AD) risk by identifying rare coding and/or noncoding variants that contribute to AD pathogenesis. In the United States, the Alzheimer's Disease Sequencing Project (ADSP) has taken a leading role in sequencing AD-related samples at scale, with the resultant data being made publicly available to researchers to generate new insights into the genetic etiology of AD. In order to achieve sufficient power, the ADSP has adapted a study design where subsets of larger AD cohorts are collected and sequenced across multiple centers, using a variety of sequencing kits. This approach may lead to variable variant quality across sequencing centers and/or kits. Here, we performed exome-wide and genome-wide association analyses on AD risk using the latest ADSP WES and WGS data releases. We observed that many variants displayed large variation in allele frequencies across sequencing centers/kits and contributed to spurious association signals with AD risk. We also observed that sequencing kit/center adjustment in association models could not fully account for these spurious signals. To address this issue, we designed and implemented novel filters that aim to capture and remove these center/kit-specific artifactual variants. We conclude by deriving a novel, fast, and robust approach to filter variants that represent sequencing center- or kit-related artifacts underlying spurious associations with AD risk in ADSP WES and WGS data. This approach will be important to support future robust genetic association studies on ADSP data, as well as other studies with similar designs.


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