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Cell Biology

  • Neutrophils in a Danio rerio Embryo. Student-generated picture of a wounded zebrafish embryo that was stained to show the neutrophils (small black dots) that had migrated toward the wound site on the fin.

    Inexpensive Cell Migration Inquiry Lab using Zebrafish

    Learning Objectives
    Students will:
    • formulate a hypothesis and design an experiment with the proper controls.
    • describe the steps involved in the zebrafish wounding assay (treating zebrafish embryos with drugs or control substances, wounding the embryo, staining the embryo, and counting neutrophils near the wound).
    • summarize results into a figure and write a descriptive figure legend.
    • perform appropriate statistical analysis.
    • interpret results in a discussion that draws connections between the cytoskeleton and cell migration.
    • put data into context by appropriately using information from journal articles in the introduction and discussion of a lab report.
  • Two cells stained

    Bad Cell Reception? Using a cell part activity to help students appreciate cell biology, with an improved data plan and...

    Learning Objectives
    • Identify cell parts and explain their function
    • Explain how defects in a cell part can result in human disease
    • Generate thought-provoking questions that expand upon existing knowledge
    • Create a hypothesis and plan an experiment to answer a cell part question
    • Find and reference relevant cell biology journal articles
  • Abelson kinase signaling network. The image shows many connections between genes and illustrates that signaling molecules and pathways function within networks. It emphasizes the indispensability of computational tools in understanding the molecular functioning of cells. The image was generated with Cytoscape from publicly accessible protein-protein interactions databases.

    Investigating Cell Signaling with Gene Expression Datasets

    Learning Objectives
    Students will be able to:
    • Explain the hierarchical organization of signal transduction pathways.
    • Explain the role of enzymes in signal propagation and amplification.
    • Recognize the centrality of signaling pathways in cellular processes, such as metabolism, cell division, or cell motility.
    • Rationalize the etiologic basis of disease in terms of deranged signaling pathways.
    • Use software to analyze and interpret gene expression data.
    • Use an appropriate statistical method for hypotheses testing.
    • Produce reports that are written in scientific style.
  • Structure of protein ADA2

    Understanding Protein Domains: A Modular Approach

    Learning Objectives
    • Students will be able to compare protein sequences and identify conserved regions and putative domains.
    • Students will be able to obtain, examine, and compare structural models of protein domains.
    • Students will be able to interpret data on protein interactions (in vitro pull-down and in vitro and in vivo functional assays)
    • Students will be able to propose experiments to test protein interactions.
  • Example image of dividing cells obtained from the Allen Institute for Cell Science 3D Cell Viewer.

    A virtual laboratory on cell division using a publicly-available image database

    Learning Objectives
    • Students will name and describe the salient features and cellular tasks for each stage of cell division.
    • Students will predict the relative durations of the stages of cell division using prior knowledge and facts from assigned readings.
    • Students will describe the relationship between duration of each stage of cell division and the frequency of cells present in each stage of cell division counted in a random sample of images of pluripotent stem cells.
    • Students will identify the stages of cell division present in research-quality images of human pluripotent stem cells in various stages of cell division.
    • Students will quantify, analyze and summarize data on the prevalence of cells at different stages of cell division in randomly sampled cell populations.
    • Students will use data to reflect on and revise predictions.