Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC)

细胞衰老网络（SenNet）联盟组织和数据协调中心（CODCC）

• 批准号: 10376501
• 负责人: Ziv Bar-Joseph
• 金额: $ 350万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-22 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10376501
• 关键词: Address; Aging; Architecture; Atlases; Back; Biological; Biological Assay; Biology; Cancer Control; Catalogs; Cell Aging; Cells; Cellular biology; Characteristics; Clinical Data; Collaborations; Communication; Communities; Conceptions; Creativeness; Data; Data Analyses; Data Coordinating Center; Dedications; Deterioration; Disease; Educational workshop; Ensure; Genomics; Goals; Health; Hearing; Home; Human; Human BioMolecular Atlas Program; Hybrids; Image; Individual; Ingestion; Laboratories; Lead; Leadership; Liquid substance; Malignant Neoplasms; Maps; Measurable; Mission; Modernization; Molecular; Mus; Neurologic; Outcome; Participant; Pathway Analysis; Pathway interactions; Phenotype; Physiology; Publishing; Quality Control; Research Personnel; Resources; Science; Scientist; Secure; Security; Semantics; Site; Source; System; Technology; Time; Tissues; Vision; Visualization; Visualization software; Voice; Work; base; body system; burden of illness; cell community; data integration; data pipeline; data portal; data sharing; data standards; experience; experimental study; flexibility; improved; innovation; interest; meetings; novel; open source; outreach; repository; senescence; success; technology development; tool; tumor; web portal; working group

Abstract The Cellular Senescence Network Consortium (SenNet) presents unique new requirements and opportunities for organization and data coordination relative to the rapidly growing community of single-cell genomics mapping consortia including the Human BioMolecular Atlas Program Consortium (HuBMAP), the Human Cell Atlas (HCA) and the Human Tumor Atlas Network (HTAN). In particular, SenNet focuses on discovery, induction, and mapping of specific physiology at the cellular and molecular level, under a variety of normal, experimental and disease conditions, not “just” a catalog of normal, murine, or cancer tissues. This substantially increases the value of engagement and collaboration among the teams that constitute SenNet. Specifically, investigators among the Consortium Organization and Data Coordination Center (CODCC), Tissue Management Centers (TMCs), and Technology Development (TTDs), as well as the broader community of Cellular Senescence (CS) scientists and innovators, will need to work together to common purpose to achieve a multiyear strategy of human impact. SenNet will also need senescent cells to cooperate to reveal their biology. These are an understudied set of cells and phenotypes that are fluid in many ways we do not yet understand, but yet may have profound impact on our ability to address a variety of conditions with tremendous burden of disease across organ systems (e.g. neurological deterioration, cancer control, and even aging). SenNet, distinct from other single-cell genomics consortia, will need more shared focus upon prioritizing experiments jointly performed and/or replicated among laboratories, prioritizing tight focus on specific cells, and addressing changes, pathways, and trajectories cells may take over time. SenNet will ultimately require changing the conception of single-cell -omics maps to include dynamics in time, space and function, and will feed these back onto the other efforts.

摘要 细胞衰老网络联盟(Sennet)提出了独特的新要求和机遇 与快速增长的单细胞基因组图谱社区相关的组织和数据协调 包括人类生物分子图谱计划联盟(HuBMAP)、人类细胞图谱(HCA)在内的联盟 和人类肿瘤图谱网络(Htan)。特别是，Sennet专注于发现、归纳和 在细胞和分子水平上的特定生理图谱，在各种正常情况下， 实验和疾病条件，而不仅仅是正常、小鼠或癌症组织的目录。这 极大地提高了团队之间的参与度和协作价值 塞内特。具体地说，财团组织和数据协调中心的调查人员 (CODCC)、组织管理中心(TMC)、技术开发(TTD)以及更广泛的 细胞衰老(CS)社区的科学家和创新者需要为共同的目标而共同努力 以实现人类影响力的多年战略。Sennet还需要衰老细胞的合作才能揭示 他们的生物学。这些是一组未被充分研究的细胞和表型，在许多方面是流动的，我们还没有 理解，但可能会对我们处理各种情况的能力产生深远的影响 跨器官系统的疾病负担(例如，神经恶化、癌症控制，甚至衰老)。 与其他单细胞基因组学联盟不同的是，Sennet将需要更多的共同关注优先顺序 联合进行和/或在实验室之间复制的实验，优先关注特定的细胞， 而处理变化、路径和轨迹的细胞可能会占用时间。Sennet最终将需要 改变单细胞组学的概念，包括时间、空间和功能的动态，并将 将这些反馈到其他努力中。