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    Colon Cancer: A Case of Genetic Bad Luck
    Case study developed for an introductory genetics class published in the National Center for Case Study Teaching in Science
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    Cancer Discovery Activities
    These two hands-on activities are based on a Howard Hughes Medical Institute 2013 Holiday Lectures on Science video (http://www.hhmi.org/biointeractive/cancer-genetic-disease-video-highlights)...
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    Calculating Lifetime Cancer Risk Resulting from DNA Replication
    An expanded case study adapted from an HHMI Data Point on Cell Division and Cancer Risk using Figure 1 from Tomasetti, C. and Vogelstein, B. (2015).
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    Cell Division and Cancer Risk Data Point
    Cancer is typically attributed to hereditary and environmental factors, but these only explain a fraction of overall cancer risk. This activity explores a third factor.
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    Using Nanoparticles to Treat Cancer Scientist Spotlight
    Students use published scientific data to determine which types of nanoparticles would be best to use to deliver cytotoxic drugs directly to cancer cells. Then they learn about the scientist who...
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    Drug screening and cancer resistance: EGFR Activity
    This activity explores a specific gene (egfr) and its role in cancer. EGFR was introduced with the Gene Card Activities, researched throughout the semester, and then authentic image data of...
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    3D breast cancer tissue reconstruction
    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
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    Cancer Genetics and an Interview with a Deaf Biomedical Researcher
    In this lesson, learners will learn about cancer genetics and understand and interpret graphs showing quantitative trait locus (QTL) data, survivor curve data, and other genetics data. Then,...
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    GEA Introductory lesson on RNA-Seq
    This RNA-Seq lesson uses the CyVerse VICE Platform and Jupyter notebooks to examine the expression of the leptin gene in samples from a mouse experimental design evaluating diet (high-fat vs....
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    CYTOSKELETON - Microtubule Dynamics in the Cell Cycle
    This module contains exercises designed to help upper-level cell biology students understand the dynamics of microtubule polymerization and depolymerization within the cell cycle and how cancer...
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    Data Analysis and Cancer
    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis...
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    Environmental Pollution & Public Health (Project EDDIE)
    Environmental health is a field of study within public health that is concerned with human-environment interactions, and specifically, how the environment influences public well-being. In this...
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    A talk about the impacts of Tobacco with Rachel Hendricks
    We interview researchers of all rankings! In this interview, NIH postbaccalaureate fellow Rachel Hendricks discusses her undergraduate research in Dr. Karen Bernd's lab at Davidson College and the...
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    Advanced Student Molecular Case Study Authorship Scaffolded Project and Rubric
    Instructions, assignment prompts, and a rubric for assessing advanced undergraduate authorship of molecular case studies
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    Cell Division and Rates of Population Growth
    This module introduces the exponential growth of cells in the context of understanding cell division. It is intended for an introductory biology audience.
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    Doubling Time of Tumors
    This module introduces the calculation of potential doubling time of tumorous cells in the context of understanding the growth of a population of the cells. It is intended for an introductory...
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    Environmental Pollution & Public Health (Project EDDIE) used in an introductory Environmental Challenges course
    Environmental health is a field of study within public health that is concerned with human-environment interactions, and specifically, how the environment influences public well-being. In this...
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    Bioimage Informatics Activity
    Students use basic bioimage informatics techniques to acquire quantitative data from images of cultured cells and test a hypothesis about the effect of a genetic mutation on cellular phenotypes
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