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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/systems-biology
课程评论：没有评论
课程名称：系统生物学导论 课程概述：该课程将介绍当代以哺乳动物细胞为中心的系统生物学，重点关注其组成部分及功能。随着我们对基因组和基因表达的认识加深，以及对涉及细胞过程的分子（如蛋白质、脂质、离子）进行的整理，我们需要理解这些分子如何相互作用，形成作为离散功能系统的模块。这些系统支撑着核心的亚细胞过程，如信号转导、转录、运动能力和电生理活动。进而，这些过程共同展现出细胞行为，如分泌、增殖和动作电位。课程将探讨亚细胞和细胞系统的特性、系统的涌现行为机制，以及如何通过实验来促进系统思维，理解计算和模拟的重要性。 课程内容将围绕多个推理线索展开，主要包括：设计、执行和解读产生大数据集的多变量实验；定量推理、模型和模拟。通过讨论实例，展示细胞功能如何产生，以及机械知识如何帮助我们预测导致疾病状态和药物反应的细胞行为。 课程大纲： 1. 系统层次推理 | 从分子到通路 2. 通路到网络 | 生物物理力与细胞生物学中的电活动 3. 细胞生物系统的数学表征 | 细胞生物系统的模拟 4. 实验技术 | 网络构建与分析 5. 期中考试 6. 网络分析 | 从拓扑到功能 7. 各种模型的优缺点 | 辨识涌现特性 8. 涌现特性：超敏感性与鲁棒性 | 案例研究 9. 案例研究 | 系统生物医学 | 系统药理学与疗法 | 视角 10. 期末考试 该课程旨在通过理论与实践结合，提升学生在系统生物学领域的理解与应用能力。
Part: 1
Title:Systems Level Reasoning | Molecules to Pathways
Description:Module description goes here.
Part: 2
Title:Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
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Part: 3
Title:Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
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Part: 4
Title:Experimental Technologies | Network Building and Analysis
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Part: 5
Title:Midterm
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Part: 6
Title:Analysis of Networks | Topology to Function
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Part: 7
Title:Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
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Part: 8
Title:Emergent Properties: Ultrasensitivity and Robustness | Case Studies
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Part: 9
Title:Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
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Part: 10
Title:Final
Description:Module description goes here.
This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability. In turn these processes come together to exhibit cellular behaviors such as secretion, proliferation and action potentials. What are the properties of such subcellular and cellular systems? What are the mechanisms by which emergent behaviors of systems arise? What types of experiments inform systems-level thinking? Why do we need computation and simulations to understand these systems? The course will develop multiple lines of reasoning to answer the questions listed above. Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Examples will be discussed to demonstrate “how” cell- level functions arise and “why” mechanistic knowledge allows us to predict cellular behaviors leading to disease states and drug responses.
