Biological Analysis Core

生物分析核心

• 批准号: 10689785
• 负责人: ANDREW B. NIXON
• 金额: $ 74.67万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10689785
• 关键词: 18 year old; Adult; Aging; Atherosclerosis; Atlases; Biological; Biological Assay; Biological Markers; Blood; Bronchoalveolar Lavage; Cell Aging; Cell Nucleus; Cells; Cerebrospinal Fluid; Childhood; Chromatin; Chronic Disease; Clinical Research; Collaborations; Colon; Complex; Data; Data Analyses; Development; Dimensions; Elderly; Elements; Ensure; Environment; Enzyme-Linked Immunosorbent Assay; Epigenetic Process; Evaluation; Flow Cytometry; Foundations; Generations; Genus Mentha; Goals; Growth; Heart; Heterogeneity; Human; Hypoxia; Immune; In Vitro; Infant; Intervention; Lung; Malignant Neoplasms; Maps; Measurement; Measures; Methods; Microfluidics; Modeling; Molecular; Morphology; Muscle; Nerve Degeneration; Normal tissue morphology; Organ; Organoids; Phenotype; Prevention; Proteins; Pulmonary Fibrosis; Recording of previous events; Research; Research Personnel; Resolution; Resources; Saliva; Sampling; Science; Scientist; Skin; Spatial Distribution; Stains; Standardization; Structure of parenchyma of lung; System; TP53 gene; Technology; Tissue Banks; Tissue Preservation; Tissue atlas; Tissues; Transposase; Urine; Work; age group; beta-Galactosidase; biomarker identification; blood fractionation; cell injury; cell type; chromatin immunoprecipitation; efficacy testing; experience; fetal; functional genomics; genotoxicity; high dimensionality; histone modification; mitochondrial dysfunction; multimodality; multiple omics; novel; novel therapeutics; nutrient deprivation; response; senescence; stressor; telomere; tissue mapping; tool; transcriptome sequencing; transcriptomics; wound healing; young adult

ABSTRACT – Biological Analysis Core Cellular senescence is a prolonged and generally irreversible growth arrest observed in normal tissue development. While senescence is vital for tissue remodeling, for prevention of malignancy in damaged cells, and in wound healing, the aberrant accumulation of senescence cells is associated with multiple chronic diseases of aging such as atherosclerosis, pulmonary fibrosis, neurodegeneration and others. Senescence is seen as a response to various stressors including telomere erosion, genotoxicity, nutrient deprivation, hypoxia, and mitochondrial dysfunction. The Biological Analysis Core, in partnership with the Biospecimen Core, will be a critical resource for the SenNet proposal by integrating and delivering state-of-the-art technology to investigate senescence at the molecular, single-cell, and whole tissue level. The core is led by a team of highly accomplished research scientists who have successfully utilized these specific platforms in conjunction with previous and/or current clinical studies. Together with the Data Analysis Core, the Biological Analysis Core will generate multimodal atlases that characterize the heterogeneity and spatial distribution of senescent cells at single cell resolution in various tissues including lung, heart, colon, muscle, and skin and across different stages of development consisting of fetal/infant, pediatric (<18 years old), young adults (<35), middle adults (<55), and older adults (>55). To support the consortium and provide the requisite set of senescence maps across different tissues, Biological Analysis Core will utilize a comprehensive repertoire of highly standardized and/or formally validated assay platforms. With the initial focus on lung tissue, we will systematically profile heart, muscle, skin and colon tissues to provide rich tissue maps of senescence across all above-defined age groups. The Biological Analysis Core has the following Specific Aims: 1) to provide high resolution state-of-the-art molecular, cellular, and tissue-level characterization of biospecimens for the purpose of identifying robust biomarkers of senescence and constructing detailed tissue maps, 2) to collect and analyze matching biofluids including blood, cerebrospinal fluid, saliva, and urine, providing a broader interconnection between the senescence maps across multiple tissues and at varying developmental stages, and 3) to develop human-derived microfluidic-based droplet organoids from various tissues to model unique systems amenable to perturbations that test the efficacy of novel drugs for senescence intervention. All of these samples, derivatives, and data will be available to the entire Tissue Mapping Center consortium and our team will work to integrate and optimize all parts of the data generation pipeline, from tissue collection and preservation to data generation, integration, analysis, and interpretation.

摘要 – 生物分析核心 细胞衰老是在正常组织中观察到的长期且通常不可逆的生长停滞 虽然衰老对于组织重塑、预防受损细胞的恶性肿瘤至关重要， 在伤口愈合过程中，衰老细胞的异常积累与多种慢性炎症有关。 衰老疾病如动脉粥样硬化、肺纤维化、神经退行性疾病等。 被视为对各种压力源的反应，包括端粒侵蚀、遗传毒性、营养缺乏、缺氧、 生物分析核心将与生物样本核心合作。 通过集成和提供最先进的技术进行调查，这是 SenNet 提案的关键资源 分子、单细胞和整个组织水平的衰老研究核心由一支经验丰富的团队领导。 已成功利用这些特定平台并结合以前和/或 与数据分析核心一起，生物分析核心将生成当前的临床研究。 表征单细胞衰老细胞异质性和空间分布的多模态图谱 不同组织（包括肺、心脏、结肠、肌肉和皮肤）以及不同阶段的分辨率 发育包括胎儿/婴儿、儿童（<18 岁）、青年人（<35 岁）、中年人（<55 岁）和 老年人（> 55）支持该联盟并提供不同领域所需的衰老图谱。 组织，生物分析核心将利用高度标准化和/或正式的综合库 最初关注肺组织，我们将系统地分析心脏、肌肉、皮肤。 和结肠组织，以提供所有上述年龄组的丰富的衰老组织图。 Analysis Core 具有以下具体目标：1) 提供高分辨率、最先进的分子、细胞、 和生物样本的组织水平表征，以识别衰老的稳健生物标志物 并构建详细的组织图，2) 收集和分析匹配的生物流体，包括血液、脑脊液 液体、唾液和尿液，在多个衰老图之间提供了更广泛的互连 组织和不同发育阶段的样本，3) 开发人源微流体液滴 来自各种组织的类器官来模拟独特的系统，该系统能够承受扰动，从而测试新的功效 所有这些样品、衍生物和数据都将可供所有人使用。 组织作图中心联盟和我们的团队将致力于整合和优化数据的所有部分 生成流程，从组织采集和保存到数据生成、集成、分析和 解释。