Advanced Techniques for Single Cell Transcriptomics

R25单细胞转录学的高级技术(J.Eberwin/J.Kim) 项目摘要 宾夕法尼亚大学基因组前沿研究所(PGFI)将提供单细胞高级技术 2014、2015和2016年为期5天的转录学课程，将向研究人员开放 (PIS、博士后和研究生)。课程参与者将接受培训以 成功地完成了从来自多个细胞的单个细胞中定量RNA的整个过程 细胞有机体。将教授的基本技术集包括单细胞分离， 单细胞RNA提取、RNA聚合酶链式反应扩增、下一代序列文库 构建、测序和数据分析。关于更广泛背景的讲座和讨论 单细胞分析中的单细胞转录和最新技术 事态的发展将加强板凳训练的实践。本课程的最后一节课将 涵盖RNAseq数据分析和解释。课程材料，包括基础课程， 协议和数据集，将在PGFI托管的公众可访问的网页上提供。 单细胞转录学课程将为以下人员提供研究培训机会 我们期望在从事基因研究的研究人员中有广泛的兴趣和适用性 在不同的基础和生物医学领域的表达和功能基因组学 纪律。研究人员受到接触极小细胞群体的限制或直接 对细胞异质性感兴趣(例如，转录本的特征、发育和 正常状态、癌症和其他疾病状态基因组学)及其后果将获得 这个工作坊里的贵重工具。单细胞分析工具的普及对 使这一前景广阔的领域能够扩大和发挥其潜力。

R25 Advanced Techniques in Single Cell Transcriptomics (J. Eberwine/J. Kim) Project Summary The Penn Genome Frontiers Institute (PGFI) will offer an Advanced Techniques in Single Cell Transcriptomics five-day course in 2014, 2015 and 2016 that would be open to researchers (PIs, Postdocs, and Graduate Students) nationally. Course participants will be trained to successfully perform the entire process of quantifying RNA from individual cells from multi- cellular organisms. The base set of techniques that will be taught include single cell isolation, single cell RNA isolation, RNA amplification by aRNA and PCR, NextGen seq library construction, sequencing and data analysis. Lectures and discussions on the broader context of single cell transcriptomics within single cell analysis and on the most recent technological developments will enhance the hands-on bench training. The final session of the course will cover RNAseq data analysis and interpretation. Course materials, including basic curriculum, protocols and datasets, will be available on PGFI-hosted, publically accessible web pages. This Single Cell Transcriptomics course will provide a research training opportunity for which we expect there to be broad interest and applicability among researchers working in gene expression and functional genomics in a diverse range of fundamental and biomedical disciplines. Researchers constrained by access to very small cell populations or directly interested in cell heterogeneity (e.g., characterization of transcriptomes, development and normal states, cancer and other disease-state genomics) and its consequences would gain valuable tools from this workshop. Dissemination of tools for single cell analysis is critical for enabling this promising area to expand and deliver on its potential.