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Discovering Prokaryotic Gene Regulation by Building and Investigating a Computational Model of the lac OperonLearning ObjectivesStudents will be able to:
- model how the components of the lac operon contribute to gene regulation and expression.
- generate and test predictions using computational modeling and simulations.
- interpret and record graphs displaying simulation results.
- relate simulation results to cellular events.
- describe how changes in environmental glucose and lactose levels impact regulation of the lac operon.
- predict, test, and explain how mutations in specific elements in the lac operon affect their protein product and other elements within the operon.
Cutthroat trout in Colorado: A case study connecting evolution and conservationLearning ObjectivesStudents will be able to:
- interpret figures such as maps, phylogenies, STRUCTURE plots, and networks for species delimitation
- identify sources of uncertainty and disagreement in real data sets
- propose research to address or remedy uncertainty
- construct an evidence-based argument for the management of a rare taxon
Make It Stick: Teaching Gene Targeting with Ribbons and FastenersLearning Objectives
- Students will be able to design targeting constructs.
- Students will be able to predict changes to the gene locus after homologous recombination.
- Students will be able to design experiments to answer a biological question (e.g., "Design an experiment to test if the expression of gene X is necessary for limb development").
Using Structured Decision Making to Explore Complex Environmental IssuesLearning ObjectivesStudents will be able to:
- Describe the process, challenges, and benefits of structured decision making for natural resource management decisions.
- Explain and reflect on the role of science and scientists in structured decision making and how those roles interact and compare to the roles of other stakeholders.
- Assess scientific evidence for a given management or policy action to resolve an environmental issue.
Discovery Poster ProjectLearning ObjectivesStudents will be able to:
- identify and learn about a scientific research discovery of interest to them using popular press articles and the primary literature
- find a group on campus doing research that aligns with their interests and communicate with the faculty leader of that group
- create and present a poster that synthesizes their knowledge of the research beyond the discovery
Discovering Cellular Respiration with Computational Modeling and SimulationsLearning ObjectivesStudents will be able to:
- Describe how changes in cellular homeostasis affect metabolic intermediates.
- Perturb and interpret a simulation of cellular respiration.
- Describe cellular mechanisms regulating cellular respiration.
- Describe how glucose, oxygen, and coenzymes affect cellular respiration.
- Describe the interconnectedness of cellular respiration.
- Identify and describe the inputs and outputs of cellular respiration, glycolysis, pyruvate processing, citric acid cycle, and the electron transport chain.
- Describe how different energy sources are used in cellular respiration.
- Trace carbon through cellular respiration from glucose to carbon dioxide.
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
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active TeachingLearning Objectives
- From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
- Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
- Use the Linux command line to complete specified objectives in an RNAseq workflow.
- Generate meaningful visualizations of results from new data in R.
- (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
Lights, Camera, Acting Transport! Using role-play to teach membrane transportLearning ObjectivesAt the end of this activity, students should be able to:
- Compare and contrast the mechanisms of simple diffusion, facilitated diffusion, and active transport (both primary and secondary).
- Identify, and provide a rationale for, the mechanism(s) by which various substances cross the plasma membrane.
- Describe the steps involved in the transport of ions by the Na+/K+ pump, and explain the importance of electrogenic pumps to the generation and maintenance of membrane potentials.
- Explain the function of electrochemical gradients as potential energy sources specifically used in secondary active transport.
- Relate each molecule or ion transported by the Na+/glucose cotransporter (SGLT1) to its own concentration or electrochemical gradient, and describe which molecules travel with and against these gradients.
An undergraduate bioinformatics curriculum that teaches eukaryotic gene structureLearning ObjectivesModule 1
- Demonstrate basic skills in using the UCSC Genome Browser to navigate to a genomic region and to control the display settings for different evidence tracks.
- Explain the relationships among DNA, pre-mRNA, mRNA, and protein.
- Describe how a primary transcript (pre-mRNA) can be synthesized using a DNA molecule as the template.
- Explain the importance of the 5' and 3' regions of the gene for initiation and termination of transcription by RNA polymerase II.
- Identify the beginning and the end of a transcript using the capabilities of the genome browser.
- Explain how the primary transcript generated by RNA polymerase II is processed to become a mature mRNA, using the sequence signals identified in Module 2.
- Use the genome browser to analyze the relationships among:
- 5' capping
- 3' polyadenylation
- Identify splice donor and acceptor sites that are best supported by RNA-Seq data and TopHat splice junction predictions.
- Utilize the canonical splice donor and splice acceptor sequences to identify intron-exon boundaries.
- Determine the codons for specific amino acids and identify reading frames by examining the Base Position track in the genome browser.
- Assemble exons to maintain the open reading frame (ORF) for a given gene.
- Define the phases of the splice donor and acceptor sites and describe how they impact the maintenance of the ORF.
- Identify the start and stop codons of an assembled ORF.
- Demonstrate how alternative splicing of a gene can lead to different mRNAs.
- Show how alternative splicing can lead to the production of different polypeptides and result in drastic changes in phenotype.
Discovering Prokaryotic Gene Regulation with Simulations of the trp OperonLearning ObjectivesStudents will be able to:
- Perturb and interpret simulations of the trp operon.
- Define how simulation results relate to cellular events.
- Describe the biological role of the trp operon.
- Describe cellular mechanisms regulating the trp operon.
- Explain mechanistically how changes in the extracellular environment affect the trp operon.
- Define the impact of mutations on trp operon expression and regulation.
Taking the Hassle out of HasselbalchLearning ObjectivesStudents will be able to:
- Characterize an aqueous environment as acidic or basic.
- Explain that pKa is a measure of how easy it is to remove a proton from a molecule.
- Predict ionization state of a molecule at a particular pH based on its pKa (qualitative use of the Henderson-Hasselbalch equation).
- Calculate the ratio of protonated/unprotonated forms of ionizable groups depending on chemical characteristics and /or environment pH (quantitative use of the Henderson-Hasselbalch equation).
- Apply this knowledge in a medical context.