About this Research Topic
Genomic approaches, investigating quantitative molecular phenotypes and pathways underlying disease progression in a genome-wide manner, have the potential to quickly identify disease-relevant druggable genes. Several large bulk tissue transcriptomic studies have pointed out that glial heterogeneity are hallmarks of the human brain. While genotypic information is shared by most cells of a body, the transcriptomic information varies widely even between cells from the same tissue. This transcriptomic heterogeneity at the cell-type level is critical to understand cell-composition changes in disease. The first goal of this Research Topic is to address current genomic approaches, including single-cell multi-omic approaches, to identify cell-type-specific regulators of AD, unravel factors that lead to resilience in AD in some people, and understand the role of various cell types in disease progression. The second goal of the Research Topic is to address several large-scale whole-genome sequencing projects to identify genome-wide rare variants contributing to AD risk cross populations across multiple ethnicities.
This Research Topic aims to collect high-quality reviews and original research articles covering genetics and genomic approaches to understand neurodegenerative diseases including Alzheimer’s disease. The Research Topic will mainly focus on current state-of-the-art multi-omic approaches including single-cell transcriptomics, single-cell epigenomics, whole-genome, and whole-exome analysis, spatial multi-omics, and integrative genomic approaches in neurodegeneration with a special focus on Alzheimer’s disease.
The research topic will cover themes such as -
• Single-cell transcriptomics and epigenomics in neurodegenerative diseases
• Whole genome sequencing analysis in neurodegenerative diseases
• Spatial multi-omics approaches to understand disease biology
• Integrative multi-omics and functional genomics approaches in neurodegenerative diseases
Keywords: Genetics, Epigenetics, Transcriptomics, Single-cell genomics, Neurodegeneration, Neurodegenerative dementia, Alzheimer’s disease, Tauopathies, Bioinformatics
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