Shared Resource Core: Single Cell Analysis

癌症系统生物学中心将开发一种新的核心--单细胞分析 核心。该核心将提供技术、生物信息和培训支持 中心。癌症代表不同种类的细胞集合，这些细胞在 癌症，但也通过全身信号和转移扩张影响宿主。 单细胞的高通量测序提供了对 癌细胞数量。高吞吐量，但有噪声的数据，从单一的- 细胞实验给研究人员带来了新的挑战。类似于其他 突破性技术、多样化方法和创新分析必须 伴随着技术的发展。核心技术支持的目标是使 对单个电池进行经济高效的高通量分析，为每个电池提供最佳性能和可访问性 三个项目中的一个。技术支持将包括提供工作人员和仪器 基础设施，以及就实验战略的设计提供咨询，促进 共享流程开发协议；提供单一单元服务，包括 显微镜、蛋白质定位、细胞分类、文库制作和测序； 与调查人员合作，在这些技术上进行创新。生物信息学的目标 核心的支持是开发适当优化的分析管道 三个主要项目；通过统一化调解积极分享项目数据 报告标准和共享服务器；最后培养人们对 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 功能，这是技术变革具有挑战性的步伐所必需的。核心意志 建议和调查中心成员关于向学生开放工作坊的目标区域， 研究员、工作人员和教职员工。研讨会的重点是从湿板凳研讨会到 细胞分离和分选；自定义文库制作、C1和Chromium平台升级 使用和显微筛选细胞样本以进行生物信息学测序 关于单细胞商业软件的讲习班(C1 Fluidigm软件；Cell Ranger；和 独创性路径分析等)和开源分析软件及统计 适用于单个电池的包。最后，单细胞分析核心将建立两周一次的 在癌症单细胞研究会议上，当前的文献和研究都在 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情况。

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.