Center for multidimensional atlas of the human heart

人类心脏多维图谱中心

• 批准号: 10530968
• 负责人: Jeffrey Moffitt
• 金额: $ 221.18万
• 依托单位: CHILDREN'S HOSP OF PHILADELPHIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10530968
• 关键词: ATAC-seq; Adult; Age; Aging; Algorithms; Anatomy; Atlases; Automobile Driving; Awareness; Basic Science; Biological Assay; Biology; Biomedical Research; Boston; Cell Communication; Cell Nucleus; Cells; Cellular Structures; Childhood; Chromatin; Clinical Data; Clinical Research; Collaborations; Communities; Complex; Computational algorithm; Computer Models; Computer software; Computing Methodologies; Data; Data Analyses; Databases; Detection; Development; Diagnosis; Disease; Emerging Technologies; Ethnic Origin; Fluorescent in Situ Hybridization; Follow-Up Studies; Freezing; Genetic Transcription; Health; Heart; Heart Diseases; Heart Research; Heterogeneity; Human; Human BioMolecular Atlas Program; Image; Imaging technology; Informed Consent; Infrastructure; Iowa; Knowledge; Longevity; Maps; Mediating; Medical; Methods; Molecular; Molecular Profiling; Normalcy; Organ; Outcome; Pattern; Pediatric Hospitals; Pennsylvania; Phase; Phenotype; Philadelphia; Physiological; Population; Production; Prognosis; Proteins; Proteomics; Protocols documentation; RNA; Regulatory Pathway; Research; Research Personnel; Signal Pathway; Signal Transduction Pathway; Small Nuclear RNA; Spatial Distribution; Specimen; Techniques; Technology; Tissue Donors; Tissue Preservation; Tissue Procurements; Tissues; Translational Research; Universities; Visualization; XCL1 gene; base; biobank; burden of illness; cell type; cellular imaging; complex data; computational pipelines; computerized tools; data sharing; epidemiologic data; epigenomics; genomic data; human disease; human tissue; improved; indexing; molecular imaging; multiple omics; multiplexed imaging; open source; precision medicine; searchable database; sex; single cell analysis; tissue mapping; transcriptomics; user-friendly

PROJECT SUMMARY - OVERALL The human heart presents remarkable anatomical, cellular and functional heterogeneity, with specialized cellular structures performing distinct yet essential physiological functions. A significant gap of knowledge is that different cells’ molecular signature, spatial distribution and interactions, and functional state remain little understood for the heart. We therefore propose the in-depth characterization of the heart which accounts for a large fraction of human disease burden. We will map molecular and cellular changes in heart tissues over the course of human lifespan using comprehensive multi-dimensional single-cell and imaging technologies. The final product will impact research of the heart in the following manner: 1) Organ Atlases: spatially resolved atlases will provide a highly user friendly, publicly available, searchable database of the most comprehensive multi-omic, single cell analysis of the heart. Molecular data will be richly annotated with additional clinical and epidemiological data. 2) Computational methods: in addition to the data, the critical computational tools and pipelines developed in this project will be available to the research community. These include methods and pipelines for processing multi-omics and imaging data, inference of cell-specific regulatory and signaling pathways, correlation of mesoscale imaging and molecular imaging features, as well as database algorithms for the query, exploration and visualization of highly complex data. 3) Access to biospecimens for follow-up studies: biospecimens collected in this project will be banked and made available to the biomedical research community. These include freshly frozen and fixed specimens and tissue sections. In summary, the proposed project will broadly impact the entire research community and jumpstart basic-science and medical discoveries based on a sophisticated understanding of the key molecular circuits underlying the development and aging of the heart.

项目总结-整体