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. These projects will generate a set of genomic, (epigenomic in some datasets), transcriptomic, proteomic, metabolomic/lipidomic, imaging (MRI and PET), neuropsychological data, and Alzheimer's Disease status. Using
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participants at each of three-time points over 5 years. Technologies to be deployed may include cytometry, bulk RNA sequencing, and proteomic profiling, various single cell-related technologies
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develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains
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to understanding neuroproteasome function, leveraging chemical biology, super-resolution micrsocopy, functional and Ca+2 imaging, quantitative proteomics, in vivo mouse work, primary neuronal culture, and
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develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains
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on autism and chronic fatigue syndrome/myalgic encephalomyelitis with focus on understanding host response mechanisms using high-throughput protein arrays, RNA-Seq, proteomics and metabolomics platforms, and
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fatigue syndrome/myalgic encephalomyelitis with focus on understanding host response mechanisms using high-throughput protein arrays, RNA-Seq, proteomics and metabolomics platforms, and data integration