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1.1: Introduction to Biology - Biology

1.1: Introduction to Biology - Biology


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  • 1.1.1: Themes and Concepts of Biology
    Biology is the science of life. All living organisms share several key properties such as order, sensitivity or response to stimuli, reproduction, adaptation, growth and development, regulation, homeostasis, and energy processing. Living things are highly organized following a hierarchy that includes atoms, molecules, organelles, cells, tissues, organs, and organ systems. Organisms, in turn, are grouped as populations, communities, ecosystems, and the biosphere.
  • 1.1.2: The Process of Science
    Biology is the science that studies living organisms and their interactions with one another and their environments. Science attempts to describe and understand the nature of the universe in whole or in part. Science has many fields; those fields related to the physical world and its phenomena are considered natural sciences. A hypothesis is a tentative explanation for an observation.
  • 1.1.E: Introduction to Biology (Exercises)

1.1: Introduction to Biology - Biology

It’s late September and Kendra’s studying when she gets a text from her mom: “Have you gotten your flu shot yet?” Kendra sets down her book to text her mom that, no she hasn’t had the time yet classes have been keeping her really busy this semester. Besides, she got her flu shot last year. Her mom responds informing Kendra that her local drug store has a flu shot kiosk—one that promises a quick and easy vaccination. “If there’s a line, you could study while you wait!” her mom concludes.

Before Kendra can respond to her mom, she gets a message from her cousin Michael. He’s just sent a link to an article about genetically modified foods and the dangers they inherently contain. Before she’s finished reading the first paragraph of the article, Mike’s already sent her another one: this article lauding the paleo diet and its benefits. Kendra starts to read the article, but before she can get too far, she remembers that she was studying. She bookmarks the articles so she can read them later—then she hits the books.

Though Kendra might not realize it, she’s just been presented with three biological problems. Should she get a flu shot? Are GMOs dangerous? Are extreme diets (like the paleo diet) beneficial?

Kendra still has to make her own choices, but having an understanding of biology will help her make the best choices she can.


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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.


An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks―a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields.

  • A hands-on approach to modelling
  • Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models
  • Thoughtful exercises to test and enable understanding of concepts
  • State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design
  • Emphasis on coding and software tools for systems biology
  • Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/

An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.


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Watch the video: Biology 1010 Lecture 1 Intro to Biology (October 2022).