High throughput analysis of cell-cell interactions using viral tracing
Iain Clark, Professor
Bioengineering
Closed. This professor is continuing with Fall 2023 apprentices on this project; no new apprentices needed for Spring 2024.
We recently developed a molecular method that categorizes the cellular connections and transcriptional profiles of glial cells in the mouse brain. The data from this technique can be represented as a highly connected network. The goal of this project is to discover ligand-receptor interactions that promote inflammation in the brain using network analysis. Keywords: CNS, neuroinflammation, neuroscience, single-cell sequencing, genomics, transcriptomics, synthetic biology, wet lab
Role: We are currently seeking an undergraduate to work in-person in an apprenticeship position with a graduate student working on the project. They will assist with a variety of molecular biology challenges related to the project including the optimization of viral library development and a single-cell workflow.
Qualifications: Preferred qualifications include: intermediate understanding of molecular biology (At least 3 semesters in a major related to molecular biology or equivalent experience), cell culture, bacterial culture, transfection, transformation, sterile and molecular technique.
Must be available 10 or more hours per week.
Day-to-day supervisor for this project: Kevin Joslin, Graduate Student
Hours: 9-11 hrs
Related website: https://clarklab.berkeley.edu/
Related website: https://www.science.org/doi/10.1126/science.abf1230?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed