Shared Resource Core: Single Cell Analysis

共享资源核心：单细胞分析

• 批准号: 10392894
• 负责人: SUZANNE SANDMEYER
• 金额: $ 22.86万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10392894
• 关键词: Address; Affect; Antibodies; Area; Awareness; Bioinformatics; Cell Separation; Cells; Chromium; Collection; Communities; Computer software; Custom; Data; Data Reporting; Development; Dissociation; Doctor of Philosophy; Educational workshop; Ensure; Environment; Evaluation; Experimental Designs; Faculty; Fostering; Funding; Gene Expression Profiling; Genomics; Goals; High-Throughput Nucleotide Sequencing; Individual; Infrastructure; Investigation; Laboratories; Libraries; Linux; Literature; Malignant Neoplasms; Management Information Systems; Mediating; Microscopic; Microscopy; Monitor; Pathway Analysis; Population; Preparation; Process; Production; Proteins; Protocols documentation; Reporting; Research; Research Personnel; Research Project Grants; Resolution; Resource Sharing; Resources; Route; Sampling; Services; Signal Transduction; Sorting - Cell Movement; Source; Specialist; Statistical Data Interpretation; Students; Surveys; System; Systems Biology; Techniques; Technology; Training; Training Activity; Training Support; Variant; Walking; Western Blotting; Work; analysis pipeline; analytical tool; base; bioinformatics tool; cancer cell; cell type; cost effective; data exchange; data format; data sharing; differential expression; digital; droplet sequencing; experience; experimental study; fluorescence microscope; high throughput analysis; innovation; insight; instrument; meetings; member; new technology; open source; programs; protein profiling; reference genome; screening; single cell analysis; single cell sequencing; single-cell RNA sequencing; skills; tool

The Cancer Systems Biology Center will develop a new core, the Single-Cell Analysis Core. This core will provide technical, bioinformatic, and training support for the Center. Cancers represent heterogeneous collections of cells interacting within the cancer, but also affecting the host through systemic signaling and metastatic expansion. High-throughput sequencing of single cells provides direct insight into the complexity of the cancer cell population. The high-throughput, but noisy data generated from single- cell experiments presents new challenges to investigators. Similar to the advent of other breakthrough technologies, diverse approaches and innovative analysis must accompany technological development. The goal of Core technical support is to make cost-effective high-throughput analysis of single cells optimal for and accessible to each of the three Projects. Technical support will consist of providing staff and instrument infrastructure, as well as advising on design of experimental strategies, facilitating sharing of protocols for process development; providing single-cell services including microscopy, protein localization, cell sorting, library production, and sequencing; and working with investigators to innovate in these technologies. The goal of bioinformatic support by the Core is to develop analysis pipelines optimized as appropriate for the three main Projects; mediate active sharing of data from the projects through uniform reporting standards and a shared server; and finally fostering awareness of technological advances within the Center and throughout the broader systems and cancer communities. Training support for the Center is one of the most critical Core functions, necessitated by the challenging pace of technological change. The Core will advise and survey Center members as to target areas for workshops open to students, fellows, staff, and faculty. Workshops will range in focus from wet bench workshops for cell isolation and sorting; custom library production, C1 and Chromium platform walk-up use, and microscopic screening of cell samples for sequencing to bioinformatic workshops on single-cell commercial software (C1 Fluidigm software; Cell Ranger; and Ingenuity Pathway Analysis etc.) and open source analysis software and statistical packages for single cells. Finally, the Single-Cell Analysis Core will establish a biweekly Cancer Single-Cell Research Meeting in which both current literature and research in progress will be discussed. The new Single-Cell Analysis Core will promote and integrate the progress of the three research Projects.

癌症系统生物学中心将开发一个新的核心，单细胞分析 核心该核心将为生物信息学和培训提供技术支持， 中心癌症代表了在肿瘤细胞内相互作用的细胞的异质集合。 癌症，而且还通过全身信号传导和转移性扩张影响宿主。 单细胞的高通量测序提供了对细胞的复杂性的直接洞察。 癌细胞群体。高通量，但噪音数据产生的单一- 细胞实验对研究人员提出了新的挑战。类似于其他 突破性的技术、多样化的方法和创新的分析必须 伴随着技术的发展。核心技术支持的目标是使 对每个人来说最佳和可访问的单细胞进行具有成本效益的高通量分析 这三个项目。技术支持将包括提供人员和仪器 基础设施，以及建议设计的实验策略，促进 共享工艺开发协议;提供单细胞服务，包括 显微镜、蛋白定位、细胞分选、文库产生和测序;以及 与研究人员合作，在这些技术上进行创新。生物信息学的目标 核心的支持是开发分析管道， 三个主要项目;通过统一的数据共享， 报告标准和共享服务器;最后， 中心内部和整个更广泛系统的技术进步， 癌症社区对中心的培训支持是最关键的核心之一， 这是技术变革的挑战性步伐所必需的。芯会 建议和调查中心成员，以目标领域的研讨会开放给学生， 研究员，工作人员和教师。研讨会的重点将从湿工作台研讨会， 细胞分离和分选;定制文库生产，C1和Chromium平台启动 用于生物信息学测序的细胞样品的使用和显微镜筛选 关于单细胞商业软件的讲习班（C1 Fluidigm软件; Cell Ranger;以及 独创性路径分析等）开源分析软件和统计 单个电池的包装。最后，单细胞分析核心将建立一个双周 癌症单细胞研究会议上，目前的文献和研究， 将讨论进展情况。新的单细胞分析核心将促进和 整合三个研究项目的进展。