Single Cell Analysis Core

SUMMARY A central goal of this P01 program project is the comprehensive interrogation of how cellular senescence affects the gene expression, phenotype, and function of diverse cell populations in various tissues following infection or vaccination. As traditional single-cell omics omits critical phenotypic and spatial information, the Single-Cell Analysis core will provide with innovative approaches to accurately identify immune cell populations and their functionality in their spatial context. This will be achieved by providing a consistent and validated pipeline of multiple high-throughput omics approaches including, single-cell RNA sequencing, cellular indexing of transcriptomes and epitopes by sequencing, cytometry by time of flight, spatial transcriptomics, and mass imaging. Interpretation of these data and their integration between the individual Projects will require a consistent experimental design and sample acquisition, as well as a significant effort of bioinformaticians with expertise in the biology of aging, immunology, and single-cell analysis. The Specific Aims of the Single-cell Analysis Core are: 1) Provide a quality-controlled platform and custom reagents for the single-cell and spatial genomics assessment of senescent cells; 2) Provide bioinformatics and statistical analyses of single-cell and spatial omics datasets; and 3) Develop a database to warehouse, integrate, and share datasets.