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    Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issues

    Learning Objectives
    Students will be able to:
    • Describe various parameters of air quality that can negatively impact human health, list priority air pollutants, and interpret the EPA Air Quality Index as it relates to human health.
    • Identify an air quality problem that varies on spatial and/or temporal scales that can be addressed using publicly available U.S. EPA air data.
    • Collect appropriate U.S. EPA Airdata information needed to answer that/those questions, using the U.S. EPA Airdata website data mining tools.
    • Analyze the data as needed to address or answer their question(s).
    • Interpret data and draw conclusions regarding air quality levels and/or impacts on human and public health.
    • Communicate results in the form of a scientific paper.
  • Adult female Daphnia dentifera. Daphnia spp. make a great study system due to their transparent body and their ease of upkeep in a lab.

    Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year...

    Learning Objectives
    Students will be able to:
    • Construct written predictions about 1 factor experiments.
    • Interpret simple (2 variables) figures.
    • Construct simple (2 variables) figures from data.
    • Design simple 1 factor experiments with appropriate controls.
    • Demonstrate proper use of standard laboratory items, including a two-stop pipette, stereomicroscope, and laboratory notebook.
    • Calculate means and standard deviations.
    • Given some scaffolding (instructions), select the correct statistical test for a data set, be able to run a t-test, ANOVA, chi-squared test, and linear regression in Microsoft Excel, and be able to correctly interpret their results.
    • Construct and present a scientific poster.
  • CRISPR/Cas9 in yeast experimental overview

    CRISPR/Cas9 in yeast: a multi-week laboratory exercise for undergraduate students

    Learning Objectives
    Week 1: CRISPR design
    • Locate the coding sequence, flanking sequence, protein product, and characteristics of a given gene from the Saccharomyces Genome Database (
    • Design and defend the design of guide RNA and single stranded template for DNA repair in CRISPR/Cas9 gene editing studies to generate Saccharomyces cerevisiae auxotrophic mutants.
    Week 3-4: Cloning
    • Describe the qualities of the vector, pML104, that allow replication and selection in bacteria and yeast as well as allow expression of necessary factors in CRISPR/Cas9 genome editing, including Cas9 and sgRNA.
    • Describe the rationale of and perform procedures necessary for cloning a small cassette (i.e., sgRNA gene) into a vector (i.e., pML104) including; restriction digest, annealing of DNA strands, removal of 5’ phosphates, ligation, and transformation.
    • Recognize and design appropriate controls for cloning procedures such as ligation and transformation.
    Week 5: Screening clones
    • Describe the method of polymerase chain reaction (PCR), including the rationale for essential components of a reaction mixture and thermal-cycling conditions.
    • Locate the binding sites of and design primers for PCR, then report the expected size of the amplification product.
    • Describe and perform isolation of plasmid DNA from E. coli.  
    Week 6: Selection of clones and transformation of yeast
    • Describe the rationale for and perform procedures to transform yeast, including the essential components of a transformation mixture and conditions necessary for transformation.
    • Describe the basic conditions required for cultivating yeast.
    • Describe the rationale for and perform agarose gel electrophoresis of a given size of DNA.
    • Analyze DNA separated by agarose gel electrophoresis, including size estimation.
    • Recognize and describe the qualities of a template for DNA repair that allows efficient DNA repair. 
    Week 7: Phenotyping
    • Design an experiment to determine auxotrophic phenotypes.
    • Predict the outcome of multi-step experiments.
    • Recognize and describe conditions necessary for growth of E. coli and S. cerevisiae.
    • Qualitatively and quantitatively analyze scientific data from scientific experiments, including bacterial and yeast transformation, agarose gel electrophoresis, extraction of plasmid DNA from bacteria, PCR, and auxotroph phenotypic analysis.
    • Communicate science to peers through maintenance of a laboratory notebook, verbal communication with group members, and writing of a formal laboratory report written in a format acceptable for journal publication.
    • Troubleshoot scientific protocols by identifying procedures that are prone to error, comparing recommended protocols to actual procedure, and using positive and negative controls to narrow the location of a potential error.
    • Communicate specific potential or actual uses of CRISPR/Cas9 in science and/or medicine.
    Alignment with Society-Generated Learning Objectives - From Biochemistry and Molecular Biology, and Genetics Learning Frameworks
    • Use various bioinformatics approaches to analyze macromolecular primary sequence and structure.
    • Illustrate how DNA is replicated and genes are transmitted from one generation to the next in multiple types of organisms including bacteria, eukaryotes, viruses, and retroviruses.
    • Define what a genome consists of and how the information in various genes and other sequence classes within each genome are used to store and express genetic information.
    • Explain the meaning of ploidy (haploid, diploid, aneuploid etc.) and how it relates to the number of homologues of each chromosome. 
    • Predict the effects of mutations on the activity, structure, or stability of a protein and design appropriate experiments to assess the effects of mutations.
    • Predict the growth behavior of microbes based on their growth conditions, e.g., temperature, available nutrient, aeration level, etc.
    • Discuss the benefits of specific tools of modern biotechnology that are derived from naturally occurring microbes (e.g. cloning vectors, restriction enzymes, Taq polymerase, etc.)
    • Accurately prepare and use reagents and perform experiments.
    • When presented with an observation, develop a testable and falsifiable hypothesis.
    • When provided with a hypothesis, identify the appropriate experimental observations and controllable variables.
  • 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.
  • Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course

    Learning Objectives
    Students will be able to:
    • list and perform the steps of sequence processing and taxonomic inference.
    • interpret microbial community diversity from metagenomic sequence datasets.
    • compare microbial diversity within and between samples or treatments.