Asli Uyar, United States of America

The Jackson Laboratory for Genomic Medicine Carter Lab
Asli Uyar is an Associate Research Scientist at The Jackson Laboratory for Genomic Medicine. Her primary research interest is with Bioinformatics and ‘Cognitive Systems’ (Artificial Intelligence, Machine Learning). She develops computational methodologies which provide novel insight in disease modeling for more predictive and efficient preclinical studies. As part of the MODEL-AD consortium, she is working on studies investigating transcriptomic signatures in the brain of mouse models of both Early Onset and Late Onset Alzheimer’s Disease. The common goal of these studies is to provide effective mapping strategies for mouse-to-human inference by matching specific mouse models with Alzheimer’s Disease sub-types. In addition to her role as a research scientist, Asli is taking part in bioinformatics training programs teaching bioinformatics and machine learning workshops as a certified instructor for Software/Data Carpentry organizations.

Author Of 3 Presentations

WSB/EIJ: A NATURAL GENETIC CONTEXT TO DETERMINE VASCULAR AND NEUROINFLAMMATORY CONTRIBUTIONS TO CEREBRAL AMYLOID ANGIOPATHY IN ALZHEIMER’S DISEASE

Session Type
SYMPOSIUM
Date
10.03.2021, Wednesday
Session Time
08:00 - 09:45
Room
On Demand Symposia D
Lecture Time
08:30 - 08:45
Session Icon
On-Demand

Abstract

Aims

Cerebrovascular dysfunction is now considered an early event in many cases of Alzheimer’s disease (AD). Furthermore, microglia-mediated neuroinflammation is implicated as a key driver of disease progression. Previous work in our lab utilizing a panel of wild-derived mouse strains expressing human mutant forms of APP and PS1 determined inclusion of genetic diversity provides greater human relevance to model AD complexity. One strain, WSB.APP/PS1, exhibited lower numbers of parenchymal amyloid plaques, but significant vascular associated plaque via cerebral amyloid angiopathy (CAA), partnered with robust fibrin leakage.

Methods

Bulk brain and single-cell microglia RNA-sequencing was performed on our wild-derived AD mouse panel at 8 months. Differences in vascular integrity and microglia subtypes were validated using immunofluorescence at multiple ages.

Results

Transcriptional profiling of bulk brain tissue revealed WSB.APP/PS1-specific enrichment of genes relating to vascular health including basement membrane (Col4a2, Col6a4, Mmp2), endothelial function (Ednra), and blood vessel formation (Vegfr and Pdgfr8). Single-cell RNAseq uncovered differences in the proportion and expression profiles of previously identified microglia subclusters. Unlike other strains, WSB.APP/PS1 did not demonstrate significant increases in disease-associated or interferon-responding microglia compared to wild type (WT) counterparts. Interestingly, a population of homeostatic microglia enriched for expression of P2ry12 was only present in WSB but not WSB.APP/PS1 or other WT or AD strains. P2RY12-mediated chemotaxis is critical for closure of the blood brain barrier after injury.

Conclusions

These data suggest the WSB genetic background is ideal to dissect the role of vascular dysfunction and neuroinflammation in CAA in AD and neurodegenerative diseases.

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USING GENETICALLY DIVERSE COLLABORATIVE CROSS MOUSE STRAINS TO MODEL ALZHEIMER’S DISEASE

Session Type
SYMPOSIUM
Date
13.03.2021, Saturday
Session Time
08:00 - 10:00
Room
On Demand Symposia C
Lecture Time
09:45 - 10:00
Session Icon
On-Demand

Abstract

Aims

Mouse models of Alzheimer’s disease (AD), carrying rare variants in genes such as APP and PS1 (APP/PS1), have usually been created on the C57BL/6J (B6J) genetic background. While these strains often exhibit amyloid accumulation and neuroinflammation, many additional molecular alterations present in human AD are absent. To broaden the phenotypes of mouse models, we introduced genetic diversity by incorporating Collaborative Cross (CC) lines, a recombinant inbred mouse panel created from eight highly diverse founder strains.

Methods

Five CC strains were selected for maximal genetic and gene expression variation at twelve late-onset GWAS loci, including TREM2, BIN1, and CLU. Transgenic APPand PS1alleles with a humanized APOE4 allele on a B6J background were crossed with each CC line. Brain hemisphere transcriptomes and neuropathology were assessed at 8-months. Neuropathology focused on amyloid deposition, glial cell activation and neuronal health.

Results

The effect of humanized APOE4 demonstrated differences across CC lines and in the presence of mutant APP and PS1 transgenes. RNA-Seq data revealed allele-specific gene expression profiles associated with neuropathological differences. We mapped strain specific transcriptional signatures to Late-Onset AD subtypes identified in the study cohorts from AMP-AD consortium and observed correlations with subtypes specific to APP/PS1 and APOE4 alleles.

Conclusions

The findings provide new insights into the role of APOE4 in amyloid pathogenesis. Diverse genetic backgrounds of CC lines exhibit a unique resource to assess genome-wide allele-specific gene expression connecting AD risk variants to molecular and neuropathological profiles.This study suggests use of CC lines mouse models to better represent the genetic variation in AD.

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Presenter of 2 Presentations

USING GENETICALLY DIVERSE COLLABORATIVE CROSS MOUSE STRAINS TO MODEL ALZHEIMER’S DISEASE

Session Type
SYMPOSIUM
Date
13.03.2021, Saturday
Session Time
08:00 - 10:00
Room
On Demand Symposia C
Lecture Time
09:45 - 10:00
Session Icon
On-Demand

Abstract

Aims

Mouse models of Alzheimer’s disease (AD), carrying rare variants in genes such as APP and PS1 (APP/PS1), have usually been created on the C57BL/6J (B6J) genetic background. While these strains often exhibit amyloid accumulation and neuroinflammation, many additional molecular alterations present in human AD are absent. To broaden the phenotypes of mouse models, we introduced genetic diversity by incorporating Collaborative Cross (CC) lines, a recombinant inbred mouse panel created from eight highly diverse founder strains.

Methods

Five CC strains were selected for maximal genetic and gene expression variation at twelve late-onset GWAS loci, including TREM2, BIN1, and CLU. Transgenic APPand PS1alleles with a humanized APOE4 allele on a B6J background were crossed with each CC line. Brain hemisphere transcriptomes and neuropathology were assessed at 8-months. Neuropathology focused on amyloid deposition, glial cell activation and neuronal health.

Results

The effect of humanized APOE4 demonstrated differences across CC lines and in the presence of mutant APP and PS1 transgenes. RNA-Seq data revealed allele-specific gene expression profiles associated with neuropathological differences. We mapped strain specific transcriptional signatures to Late-Onset AD subtypes identified in the study cohorts from AMP-AD consortium and observed correlations with subtypes specific to APP/PS1 and APOE4 alleles.

Conclusions

The findings provide new insights into the role of APOE4 in amyloid pathogenesis. Diverse genetic backgrounds of CC lines exhibit a unique resource to assess genome-wide allele-specific gene expression connecting AD risk variants to molecular and neuropathological profiles.This study suggests use of CC lines mouse models to better represent the genetic variation in AD.

Hide