Senescence tissue mapping and SASP Atlas for human somatic and reproductive tissues

人类体细胞和生殖组织的衰老组织图谱和 SASP 图谱

• 批准号: 10376496
• 负责人: Malene Hansen
• 金额: $ 50.69万
• 依托单位: BUCK INSTITUTE FOR RESEARCH ON AGING
• 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/10376496
• 关键词: Senescence; tissue; mapping; SASP; Atlas

ADMINISTRATIVE CORE - PROJECT SUMMARY This Buck Institute Tissue Mapping Center (TMC) grant application proposes to map senescent cells in three human somatic and reproductive tissues, i.e., ovaries, breast tissue, and skeletal muscle. It is crucial to provide tissue maps of cellular senescence as well as a SASP Atlas of for these human tissues as (i) ovaries are one of the first tissues to age, (ii) breast tissue has been shown to rapidly age and display high SASP gene expression signatures in previous RNA Seq experiments, and (iii) muscle aging typically leads to impacted mobility or frailty. The Admin core will oversee a leadership plan, a tissue-mapping coordination plan and a network coordination plan to generate senescence tissue maps as part of the SenNet Consortium. The Admin Core will oversee that data sharing pipelines within the TMC and with the SenNet network will be implemented and improved. The collaboration between the Admin Core with the 3 other scientific Buck Institute TMC cores, the Biospecimen Core, Biological Analysis Core and Data Analysis Core, will enable a streamlined tissue collection, data acquisition and data analysis pipeline, in order to generate and prioritize senescence biomarkers expressed in the somatic and reproductive tissues. Regular discussions and meetings between the Admin Core leaders and leaders of the other scientific cores will allow efficient information exchange between all stakeholders. The Admin Core in collaboration with the Data Analysis Core will develop and implement plans for submission of data, protocols and resources to the SenNet Consortium and its data coordination center. The Admin Core will ensure that any data submitted to the consortium complies with network-wide standard operating procedures and SenNet policies. Collaborations with other TMC centers will enable comparisons of senescence markers between tissues, and applying different technologies that are available at different TMC centers for tissue mapping of multiple tissues, as the Admin Center will encourage all TMC centers to work together and to engage in cross-training of technological skill-sets, use of novel instrumentations for scientists between centers, and expanding intellectual knowledge about cellular senescence. Throughout the award period novel technological advancements will be implemented more broadly into TMC workflows and tissue biological analysis pipelines as they become available for network use. The Admin Core will coordinate such implementation in collaboration with other Technology Development Centers and other TMC centers. In summary, the Admin Core will coordinate all efforts of the TMC and build upon the existing strong scientific expertise in cellular senescence research at the Buck Institute to establish a new Senescence Tissue Mapping Atlas resource focusing on human ovaries, breast tissue, and skeletal muscle.

行政核心----项目摘要 巴克研究所组织绘图中心（TMC）的拨款申请提出在三个组织中绘制衰老细胞。 人体和生殖组织，即，卵巢乳腺组织和骨骼肌至关重要的是， 细胞衰老的组织图以及这些人体组织的SASP图谱，因为（i）卵巢是 第一个老化的组织，（ii）乳腺组织已被证明快速老化并显示高SASP基因表达 （iii）肌肉老化通常导致受影响的移动性或脆弱性。 管理核心将监督领导计划、组织映射协调计划和网络协调 计划生成衰老组织图作为SenNet联盟的一部分。管理核心将监督 TMC内部以及与SenNet网络的数据共享管道将得到实施和改进。的 管理核心与巴克研究所TMC的其他3个科学核心，生物标本 核心，生物分析核心和数据分析核心，将使简化的组织收集，数据 采集和数据分析管道，以生成和优先考虑衰老生物标志物， 躯体和生殖组织。管理核心领导人之间的定期讨论和会议， 其他科学核心的领导人将使所有利益攸关方之间能够进行有效的信息交流。的 管理核心将与数据分析核心合作，制定并实施提交以下内容的计划： 向SenNet联盟及其数据协调中心提供数据、协议和资源。管理核心将 确保提交给联合体的任何数据符合网络范围的标准操作程序 和SenNet政策。与其他TMC中心的合作将能够比较衰老标志物 组织之间，并应用不同的技术，可在不同的TMC中心， 多个组织的映射，因为管理中心将鼓励所有TMC中心一起工作， 在技术技能的交叉培训中，为中心之间的科学家使用新的仪器， 扩展了关于细胞衰老的知识。在整个获奖期间， 这些进展将更广泛地应用于TMC工作流程和组织生物学分析管道， 它们变得可用于网络使用。行政核心将协同协调此类执行工作 与其他技术开发中心和其他TMC中心合作。 总之，管理核心将协调TMC的所有努力，并在现有的强大的科学基础上， 在巴克研究所的细胞衰老研究的专业知识，建立一个新的衰老组织图谱 图集资源集中在人类卵巢，乳腺组织，骨骼肌。