Advanced Techniques for Single Cell Transcriptomics

描述(由申请者提供)：宾夕法尼亚大学基因组前沿研究所(PGFI)将在2014、2015和2016年提供为期五天的单细胞转录学高级技术课程，面向全国研究人员(PI、博士后和研究生)。课程参与者将接受培训，以成功地完成从多细胞生物体的单个细胞中量化RNA的整个过程。将教授的基本技术包括单细胞分离、单细胞RNA分离、用ARNA和PCR扩增RNA、构建下一代序列文库、测序和数据分析。关于单细胞分析中单细胞转录学的更广泛背景的讲座和讨论以及关于最新技术发展的讲座和讨论将加强实际操作培训。课程的最后一节将讲述RNASEQ数据的分析和解释。课程材料，包括基本课程、协议和数据集，将在PGFI托管的公众可访问的网页上提供。这门单细胞转录学课程将提供一个研究培训机会，我们预计在不同的基础和生物医学学科中从事基因表达和功能基因组学工作的研究人员将对此产生广泛的兴趣和适用性。受制于获得非常小的细胞群体或直接对细胞异质性感兴趣的研究人员(例如，转录酶的发育和正常状态的特征、癌症和其他疾病状态基因组学)及其后果将从这次研讨会中获得宝贵的工具。单细胞分析工具的传播对于使这一前景广阔的领域能够扩大和发挥其潜力至关重要。

DESCRIPTION (provided by applicant): 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 transcriptase's 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.