The UCSD Microbiome and Metagenomics Center

加州大学圣地亚哥分校微生物组和宏基因组学中心

• 批准号: 10386327
• 负责人: Jack Anthony Gilbert
• 金额: $ 54.98万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-23 至 2026-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10386327
• 关键词: Address; Algorithms; American; Archaea; Area; Artificial Intelligence; Assimilations; Bacteria; Benchmarking; Bioinformatics; Biological Markers; California; Collaborations; Collection; Communication; Communities; Community Outreach; Computer software; Consensus; Core Facility; Cost efficiency; DNA; Data; Data Analyses; Data Provenance; Detection; Development; Elements; Ensure; Eukaryota; Faculty; Feces; Feedback; Fellowship; Generations; Goals; Health; Human; Infrastructure; International; Investments; Laboratory Research; Leadership; Libraries; Metagenomics; Microbe; Mission; National Institute of Diabetes and Digestive and Kidney Diseases; Nutritional Study; Participant; Persons; Pilot Projects; Planet Earth; Positioning Attribute; Precision Health; Preparation; Procedures; Process; Production; Protocols documentation; Quality Control; Quality of life; RNA; Recording of previous events; Reproducibility; Research; Research Design; Research Support; Resolution; Sampling; Scientific Advances and Accomplishments; Scientist; Services; Sum; Supercomputing; System; Taxonomy; Technology; Time; United States National Institutes of Health; Universities; Virus; Visualization; base; beta diversity; biobank; bioinformatics infrastructure; cost; cost efficient; data access; data format; data management; data sharing; data visualization; density; detection sensitivity; experience; improved; innovation; innovative technologies; interest; laptop; metagenome; metaproteomics; metatranscriptomics; microbial; microbiome; microbiome analysis; microbiome research; multidisciplinary; nutrition; open source; operation; precision nutrition; recruit; sample collection; statistics; stool sample; success; synthetic construct; tool; ultra high resolution; undergraduate student

Project Summary The University of California San Diego (UCSD) Microbiome and Metagenomics Center (MMC) as part of the Nutrition for Precision Health (NPH) consortium will provide rapid, robust stool sample processing, high-quality metagenomic and metatranscriptomic data generation, and best-in-class bioinformatic analysis. We will optimize our protocols for DNA and RNA extraction from stool, metagenomic and metatranscriptomic library preparation, sequencing, and bioinformatics for ultra-high resolution taxonomic and functional profiling of the microbiome, including bacteria, archaea, eukaryotes, and viruses. We will offer analytical services and expertise on study design, sample collection, statistics, artificial intelligence, and host-microbe data interpretation to support other NPH centers and develop standard operation procedures with the Research Coordinating Center (RCC). Our team has developed uniquely innovative approaches to provide metagenomic and metatranscriptomic data at a cost that facilitates application to all 17,500 samples provided by the BioBank, with robust quality control to ensure high-quality raw and processed data products. We are also able to provide absolute quantification of microbial load through our recent innovation in synthetic DNA ‘spike-ins', which also facilitates rigorous assessment of contamination and extraction efficiency. Beyond bringing cutting edge technology that we have developed to the consortium, we also propose 3 Pilot Projects: (i) long-read data assembly; (ii) multiplexed metaproteomics; and (iii) automated stool sample collection and processing, so as to improve the taxonomic and functional resolution of profiling and improve biomarker detection sensitivity using dense timeseries. Importantly, our team is also optimally positioned to develop community consensus for the analysis strategies agreed on during the planning year, as well as to address the challenges of integrating microbiome data into the NPH consortium, due to our: existing high-throughput sample processing, sequencing, and data analysis cores; tight integration among disciplinary groups; access to supercomputing infrastructure; data visualization expertise; and tight coordination with an international braintrust of scientists who have been selected based on their complementary expertise in different areas of microbiome and precision nutrition research. This center will also benefit from cross-campus institutional commitment to provide 4 undergraduate, 5 postgraduate, and 6 postdoctoral fellowships, enabling faculty engagement and the development of innovative technologies and algorithms to advance NPH consortium goals. Additionally, our existing community outreach experiences can further support the NPH consortium’s goal to provide respectful, accessible and engaging feedback to the participants. Essential to the success of the MMC is the 35% time-commitment of the PI who has an outstanding track record in leading similar scale efforts. As a key part of the NPH consortium, we aim to democratize microbiome data by reducing cost, time, and computational requirements and coordination of multidisciplinary expertise required for data analyses and interpretation to achieve the ambitious goals of precision nutrition.

项目摘要 加州大学圣地亚哥分校（UCSD）微生物组和宏基因组学中心（MMC）是 精准健康营养（NPH）联盟将提供快速，稳健的粪便样本处理，高质量的 宏基因组和元转录组数据生成，以及一流的生物信息学分析。我们将优化 我们的方案用于从粪便中提取DNA和RNA，宏基因组和宏转录组文库制备， 测序和生物信息学，用于微生物组的超高分辨率分类和功能分析， 包括细菌、古细菌、真核生物和病毒。我们将提供分析服务和专业知识的研究 设计、样品收集、统计、人工智能和宿主微生物数据解释，以支持其他 NPH与研究协调中心（RCC）一起制定标准操作程序。我们 团队开发了独特的创新方法，以提供宏基因组和元转录组数据， 生物银行提供的所有17，500个样本的应用成本，以及强大的质量控制， 确保高质量的原始和处理数据产品。我们还能够提供绝对量化的 通过我们最近在合成DNA“加标”方面的创新， 污染和提取效率的评估。除了把我们拥有的尖端技术 开发的联盟，我们还提出了3个试点项目：（i）长读数据组装;（ii）多路复用 元蛋白质组学;以及（iii）自动化粪便样本收集和处理，以改进分类学和 分析的功能分辨率和使用密集时间序列提高生物标志物检测灵敏度。重要的是， 我们的团队也处于最佳位置，可以就商定的分析战略达成社区共识 在规划年期间，以及解决将微生物组数据整合到NPH中的挑战 由于我们现有的高通量样品处理、测序和数据分析核心; 学科群体之间的整合;获得超级计算基础设施;数据可视化专业知识;以及 与国际科学家智囊团紧密合作，这些科学家是根据他们的 在微生物组和精确营养研究的不同领域的互补专业知识。该中心还将 受益于跨校园的机构承诺，提供4个本科生，5个研究生，和6个 博士后奖学金，使教师参与和创新技术的发展， 推进NPH联盟目标的算法。此外，我们现有的社区外展经验可以 进一步支持NPH联盟的目标，即向 参与者MMC成功的关键是PI的35%时间承诺， 在领导类似规模的努力方面的记录。作为NPH联盟的重要组成部分，我们的目标是民主化 微生物组数据，通过降低成本，时间和计算要求以及多学科的协调 数据分析和解释所需的专业知识，以实现精确营养的宏伟目标。