Advanced Techniques for Single Cell Transcriptomics

R25单细胞转录组学先进技术（J. Eberwine/J. Kim） 项目摘要 Penn Genome Frontiers Institute（PGFI）将提供单细胞生物学的先进技术 2014年、2015年和2016年为期五天的转录组学课程将向研究人员开放 (PIs，博士后，研究生）全国。 学员将接受培训， 成功地执行从来自多个细胞的单个细胞中定量RNA的整个过程， 细胞有机体将教导的基本技术组包括单细胞分离， 单细胞RNA分离，通过aRNA和PCR进行RNA扩增，NextGen seq文库 构建、测序和数据分析。 关于更广泛背景的讲座和讨论 单细胞转录组学在单细胞分析和最新的技术 这些发展将加强板凳上的实际训练。 课程的最后一节课将 涵盖RNAseq数据分析和解释。 课程材料，包括基本课程， 协议和数据集，将可在PGFI托管的，可访问的网页。 这个单细胞转录组学课程将提供一个研究培训机会， 我们希望在基因工程领域的研究人员中有广泛的兴趣和适用性 表达和功能基因组学在各种基础和生物医学 学科 研究人员受限于获得非常小的细胞群或直接 对细胞异质性感兴趣（例如，转录组的表征、开发和 正常状态，癌症和其他疾病状态基因组学）及其后果将获得 这个车间的宝贵工具。 单细胞分析工具的推广对于 使这一前景广阔的领域能够扩大并发挥其潜力。

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.