This Research Program offers the following research opportunity: Aging and Protein Aggregation. As a result of COVID-19, this experience is online. 

Dates: January 5th - March 11th, 2021 

Tuition: $1,800

Grade Level: Students must currently be in 10th - 12th grade

Schedule: 

• Tuesdays and Thursdays (3:30pm – 4:50pm PST)
• Synchronous online teaching
• 4 hours of work required outside of online lecture

Aging and Protein Aggregation

Premature aging can induce physiological changes and lead to disease. Protein aggregation associated with aging disturbs the cellular environment and may contribute to onset and progression of age-related diseases. Students will explore protein aggregation process which could induce or facilitate the decline of cellular functions, and evaluate methods to counteract the damaging effects of the aggregated proteins. Students will learn to utilize the model organism roundworm Caenorhabditis elegans, microscopy, fluorescent tagging, qRT-PCR and Western Blotting to quantify gene activity and protein expression during several stress conditions. Statistical methods and bioinformatics tools will be applied to mine the data to better understand the biology of aging. 

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This Research Program offers the following research opportunity: Fruit Fly Sex-Specific Gene Activity in the Brain During Stress. As a result of COVID-19, this experience is online. 

Dates: October 6th - December 10th, 2020 

Tuition: $1,800

Grade Level: Students must currently be in 10th - 12th grade

Schedule: 

• Tuesdays and Thursdays (5:00pm – 6:20pm PST)
• Synchronous online teaching
• 4 hours of work required outside of online lecture

Fruit Fly Sex-Specific Metabolic Gene Activity in the Brain During Stress

Our study aims to quantify metabolic brain gene activity of female and male fruit flies (Drosophila melanogaster) under several stressful conditions, including toxicant exposure, heat, and hypoxia. Students will learn to culture and manage fruit flies during critical developmental stages, microdissect fly brains and extract RNA.  Brain gene expression will be quantified using qRT-PCR; statistical and bioinformatics data analyses will be focused on loci involved in metabolic pathways to better understand the sex-specific coping mechanisms during stress and relevance to human health.