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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.
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.
Using Place-Based Economically Relevant Organisms to Improve Student Understanding of the Roles of Carbon Dioxide,...Learning ObjectivesAt the end of this lesson, students will be able to:
- Describe the roles of light energy and carbon dioxide in photosynthetic organisms.
- Identify the effect of nutrients on the growth of photosynthetic organisms.
- Describe global cycles in atmospheric carbon dioxide levels and how they relate to photosynthetic organisms.
Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeographyLearning ObjectivesStudents will be able to:
- Estimate phylogenetic trees using diverse data types and phylogenetic models.
- Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
- Use selected computer programs for phylogenetic analysis.
- Use bootstrapping to assess the statistical support for a phylogeny.
- Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.
Sex and gender: What does it mean to be female or male?Learning Objectives
- Students will be able to distinguish between sex and gender, and apply each term appropriately.
- Students will be able to compare and contrast levels of sexual determination.
- Students will be able to critique societal misrepresentations surrounding sex, gender, and gender identity.
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.
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.
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
Furry with a chance of evolution: Exploring genetic drift with tuco-tucosLearning Objectives
- Students will be able to explain how genetic drift leads to allelic changes over generations.
- Students will be able to demonstrate that sampling error can affect every generation, which can result in random changes in allelic frequency.
- Students will be able to explore and evaluate the effect of population size on the strength of genetic drift.
- Students will be able to analyze quantitative data associated with genetic drift.
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
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