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  • Possible implementations of a short research module

    A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research Experience

    Learning Objectives
    • Students will be able to evaluate the strengths and weaknesses of data.
    • Students will be able to employ prior knowledge in formulating a biological research question or hypothesis.
    • Students will be able to distinguish a research question from a testable hypothesis.
    • Students will recognize that the following are essential elements in experimental design: identifying gaps in prior knowledge, picking an appropriate approach (ex. experimental tools and controls) for testing a hypothesis, and reproducibility and repeatability.
    • Students will be able to identify appropriate experimental tools, approaches and controls to use in testing a hypothesis.
    • Students will be able to accurately explain why an experimental approach they have selected is a good choice for testing a particular hypothesis.
    • Students will be able to discuss whether experimental outcomes support or fail to support a particular hypothesis, and in the case of the latter, discuss possible reasons why.
  • Students use plastic Easter eggs and chocolate pieces to simulate the distribution of HIV in T lymphocytes.

    Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle...

    Learning Objectives
    • Students will define a Poisson distribution.
    • Students will generate a data set on the probability of a T cell being infected with a virus(es).
    • Students will predict the likelihood of one observing the mean value of viruses occurring.
    • Students will evaluate the outcomes of a random process.
    • Students will hypothesize whether a process is Poissonian and design a test for that hypothesis.
    • Students will collect data and create a histogram from their data.
  • 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.
  • Figure 2. ICB-Students come to class prepared to discuss the text
  • 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 (https://www.yeastgenome.org/).
    • 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.
    Multiweek
    • 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.
  • Image from http://www.epa.gov/airdata/ad_maps.html

    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.
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Introductory Biology (identifying...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount.
    • Diagram how a repressor works to reduce transcription.
    • Diagram how an activator works to increase transcription.
    • Identify a new promoter from literature and design a method to clone it and test its function.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments.
    • Design an experiment to verify a new promoter has been cloned into a destination vector.
    • Design an experiment to measure the strength of a promoter.
    • Analyze data showing reporter protein produced and use the data to assess promoter strength.
    • Define type IIs restriction enzymes.
    • Distinguish between type II and type IIs restriction enzymes.
    • Explain how Golden Gate Assembly (GGA) works.
    • Measure the relative strength of a promoter compared to a standard promoter.
  • MA plot of RNA-seq data. An MA plot is a visual summary of gene expression data which identifies genes showing differential expression between two treatments.

    Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy

    Learning Objectives
    • Students will locate and download high-throughput sequence data and genome annotation files from publically available data repositories.
    • Students will use Galaxy to create an automated computational workflow that performs sequence quality assessment, trimming, and mapping of RNA-seq data.
    • Students will analyze and interpret the outputs of RNA-seq analysis programs.
    • Students will identify a group of genes that is differentially expressed between treatment and control samples, and interpret the biological significance of this list of differentially expressed genes.
  • A three-dimensional model of methionine is superimposed on a phase contrast micrograph of Saccharomyces cerevisiae from a log phase culture.

    Follow the Sulfur: Using Yeast Mutants to Study a Metabolic Pathway

    Learning Objectives
    At the end of this lesson, students will be able to:
    • use spot plating techniques to compare the growth of yeast strains on solid culture media.
    • predict the ability of specific met deletion strains to grow on media containing various sulfur sources.
    • predict how mutations in specific genes will affect the concentrations of metabolites in the pathways involved in methionine biosynthesis.
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Genetics (analyzing mutant...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount. 
    • Diagram a bacterial promoter with −35 and −10 elements and the transcription start site.
    • Describe how mutational analysis can be used to study promoter sequence requirements.
    • Develop a promoter mutation hypothesis and design an experiment to test it.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments. 
    • Design an experiment to verify a mutated promoter has been cloned into a destination vector. 
    • Design an experiment to measure the strength of a promoter. 
    • Analyze data showing reporter protein produced and use the data to assess promoter strength. 
    • Define type IIs restriction enzymes.
    • Distinguish between type II and type IIs restriction enzymes.
    • Explain how Golden Gate Assembly (GGA) works.
    • Measure the relative strength of a promoter compared to a standard promoter.