Advanced Techniques for Single Cell Transcriptomics

描述（由申请人提供）：宾夕法尼亚大学基因组前沿研究所（PGFI）将在2014年、2015年和2016年提供为期五天的单细胞转录组学高级技术课程，该课程将向全国的研究人员（pi、博士后和研究生）开放。课程参与者将接受培训，成功完成从多细胞生物的单个细胞中定量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，RNA扩增通过aRNA和PCR， NextGen seq文库建设，测序和数据分析。讲座和讨论单细胞分析中单细胞转录组学的更广泛背景和最新的技术发展将加强实践台培训。课程的最后一节课将介绍rna - eq数据的分析和解释。课程材料，包括基础课程、协议和数据集，将在pgfi托管的、可公开访问的网页上提供。这个单细胞转录组学课程将提供一个研究培训的机会，我们希望在各种基础和生物医学学科的基因表达和功能基因组学研究人员中有广泛的兴趣和适用性。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，转录酶的发育和正常状态的表征，癌症和其他疾病状态基因组学）及其后果将从本次研讨会中获得有价值的工具。传播单细胞分析工具对于使这一有前途的领域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.