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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/experimental-methods
课程评论：没有评论
课程名称：系统生物学中的实验方法 课程概述：本课程将介绍系统生物学中实验所用的技术，重点关注RNA测序、质谱基础的蛋白质组学、流式/质谱细胞计数以及活细胞成像。系统生物学领域的重要推动力是这些技术，使我们能够深入了解细胞如何响应实验扰动，从而构建更详细的细胞功能定量模型。这些模型对从生物技术到人类疾病的各种应用提供了重要的见解。课程广泛概述了现代系统生物学中使用的多种实验技术，重点是获取用于后续分析的定量数据。我们特别深入探讨四种技术：mRNA测序、质谱基础的蛋白质组学、流式/质谱细胞计数和活细胞成像。这些技术在系统生物学中应用广泛，涵盖了从基因组范围到单分子覆盖，从百万细胞到单细胞，以及从单个时间点到频繁采样的时间序列数据。我们不仅提供这些技术的理论背景，此外还进入实际的湿实验室环境，指导这些技术的实际操作，以及如何分析所获得数据的质量和内容。 课程大纲： 1. 介绍 2. 深度mRNA测序 3. 质谱基础的蛋白质组学 4. 期中考试 5. 流式和质谱细胞计数用于单细胞蛋白水平和细胞命运 6. 活细胞成像用于单细胞蛋白动态 7. 集成和解读数据集与网络模型和动态模型 8. 期末考试 通过本课程，学习者将掌握现代系统生物学中关键实验技术的理论和实践，提升对细胞功能的定量理解能力。
Name:Introduction
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Name:Deep mRNA Sequencing
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Name:Mass Spectrometry-Based Proteomics
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Name:Midterm Exam
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Name:Flow and Mass Cytometry for Single Cell Protein Levels and Cell Fate
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Name:Live-cell Imaging for Single Cell Protein Dynamics
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Name:Integrating and Interpreting Datasets with Network Models and Dynamical Models
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Name:Final Exam
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Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging. A key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from biotechnology to human disease. This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses. We dive deeply into four technologies in particular, mRNA sequencing, mass spectrometry-based proteomics, flow/mass cytometry, and live-cell imaging. These techniques are often used in systems biology and range from genome-wide coverage to single molecule coverage, millions of cells to single cells, and single time points to frequently sampled time courses. We present not only the theoretical background upon which these technologies work, but also enter real wet lab environments to provide instruction on how these techniques are performed in practice, and how resultant data are analyzed for quality and content.
