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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
Investigating the Function of a Transport Protein: Where is ABCB6 Located in Human Cells?Learning ObjectivesAt the end of this activity students will be able to:
- describe the use of two common research techniques for studying proteins: SDS-PAGE and immunoblot analysis.
- determine a protein’s subcellular location based on results from: 1) immunoblotting after differential centrifugation, and 2) immunofluorescence microscopy.
- analyze protein localization data based on the limitations of differential centrifugation and immunofluorescence microscopy.
Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced studentsLearning ObjectivesStudents will:
- Articulate testable hypotheses. (Lab 8, final presentation/paper, in-class exercises)
- Analyze data to determine the level of support for articulated hypotheses. (Labs 4-7, final presentation/paper)
- Identify multiple species of plants in the field quickly and accurately. (Labs 2-3, field trip)
- Measure environmental variables and sample vegetation in the field. (Labs 2-3, field trip)
- Analyze soil samples using a variety of low-tech lab techniques. (Open labs after field trip)
- Use multiple statistical techniques to analyze data for patterns. (Labs 4-8, final presentation/paper)
- Interpret statistical analyses to distinguish between strong and weak interactions in a biological system. (Labs 4-7, final presentation/paper)
- Develop and present a conference-style presentation in a public forum. (Lab 8, final presentation/paper)
- Write a publication-ready research paper communicating findings and displaying data. (Lab 8, final presentation/paper)
Investigating Cell Signaling with Gene Expression DatasetsLearning ObjectivesStudents 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.
An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome...Learning ObjectivesAt the end of the activity, students will be able to:
- Explain the steps involved in genome assembly, annotation, and variant detection to other students and instructors.
- Create meaningful visualizations of their data using the integrated genome viewer.
- Use the Linux command line and web-based tools to answer research questions.
- Produce annotated genomes and call variants from raw sequencing reads in non-model species.
Serotonin in the Pocket: Non-covalent interactions and neurotransmitter bindingLearning Objectives
- Students will design a binding site for the neurotransmitter serotonin.
- Students will be able to determine the effect of a change in molecular orientation on the affinity of the molecule for the binding site.
- Students will be able to determine the effect of a change in molecular charge on the affinity of the molecule for the binding site.
- Students will be able to better differentiate between hydrogen bond donors and acceptors.
- Students can use this knowledge to design binding sites for other metabolites.
A new approach to course-based research using a hermit crab-hydrozoan symbiosisLearning ObjectivesStudents will be able to:
- define different types of symbiotic interactions, with specific examples.
- summarize and critically evaluate contemporary primary literature relevant to ecological symbioses, in particular that between hermit crabs and Hydractinia spp.
- articulate a question, based on observations of a natural phenomenon (in this example, the hermit crab-Hydractinia interaction).
- articulate a testable hypothesis, based on their own observations and read of the literature.
- design appropriate experimental or observational studies to address their hypotheses.
- collect and interpret data in light of their hypotheses.
- problem-solve and troubleshoot issues that arise during their experiment.
- communicate scientific results, both orally and in written form.
Using a Sequential Interpretation of Data in Envelopes (SIDE) approach to identify a mystery TRP channelLearning Objectives
- Students will be able to analyze data from multiple experimental methodologies to determine the identity of their "mystery" TRP channel.
- Students will be able to interpret the results of individual experiments and from multiple experiments simultaneously to identify their "mystery" TRP channel.
- Students will be able to evaluate the advantages and limitations of experimental methodologies presented in this lesson.
The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cupsLearning ObjectivesStudents will able to:
- compare and contrast spatial and temporal summation in terms of the number of presynaptic events and the timing of these events
- predict the relative contribution to reaching threshold and firing an action potential as a function of distance from the axon hillock
- predict how the frequency of incoming presynaptic action potentials effects the success of temporal summation of resultant postsynaptic potentials
A clicker-based case study that untangles student thinking about the processes in the central dogmaLearning ObjectivesStudents will be able to:
- explain the differences between silent (no change in the resulting amino acid sequence), missense (a change in the amino acid sequence), and nonsense (a change resulting in a premature stop codon) mutations.
- differentiate between how information is encoded during DNA replication, transcription, and translation.
- evaluate how different types of mutations (silent, missense, and nonsense) and the location of those mutations (intron, exon, and promoter) differentially affect the processes in the central dogma.
- predict the molecular (DNA size, mRNA length, mRNA abundance, and protein length) and/or phenotypic consequences of mutations.
Predicting and classifying effects of insertion and deletion mutations on protein coding regionsLearning ObjectivesStudents will be able to:
- accurately predict effects of frameshift mutations in protein coding regions
- conduct statistical analysis to compare expected and observed values
- become familiar with accessing and using DNA sequence databases and analysis tools
Cell Signaling Pathways - a Case Study ApproachLearning Objectives
- Use knowledge of positive and negative regulation of signaling pathways to predict the outcome of genetic modifications or pharmaceutical manipulation.
- From phenotypic data, predict whether a mutation is in a coding or a regulatory region of a gene involved in signaling.
- Use data, combined with knowledge of pathways, to make reasonable predictions about the genetic basis of altered signaling pathways.
- Interpret and use pathway diagrams.
- Synthesize information by applying prior knowledge on gene expression when considering congenital syndromes.
Building a Model of Tumorigenesis: A small group activity for a cancer biology/cell biology courseLearning ObjectivesAt the end of the activity, students will be able to:
- Analyze data from a retrospective clinical study uncovering genetic alterations in colorectal cancer.
- Draw conclusions about human tumorigenesis using data from a retrospective clinical study.
- Present scientific data in an appropriate and accurate way.
- Discuss why modeling is an important practice of science.
- Create a simple model of the genetic changes associated with a particular human cancer.