Project Mentor
Dr. Ji Yu
Center for Cell Analysis and Modeling, Department of Genetics and Genome Sciences
Undergraduate Research Opportunity Description
| Project Description | Our lab specializes in single-cell analysis of the cancer phosphoproteome. The specific student project involves acquiring profiling data on a subset of PBMC samples collected from chronic lymphocytic leukemia (CLL) patients. The student will: (1) Initiate the sample preparation pipeline and perform quality control evaluation; (2) Operate the automatic phosphoproteome profiling instrument to acquire data from the samples; (3) Perform quantitative evaluation of data quality. |
| Project Direction | CLL is a slow progressing subtype of leukemia characterized by the uncontrolled proliferation of mature B lymphocytes. A common issue with the current treatment (TKI) is relapse and/or resistance. The lab studies the single-cell phosphoproteome of CLL cells, in order to identify and understand cell taxonomy and how the phosphoproteome distribution shifts in response to treatment. The results will guide the design of better treatment plans and identify new cancer markers. |
| Mentorship and Supervision |
The initial technical training will be done by a senior researcher, who the student will work side by side with for the training period (~ 1 week)
Afterwards the student will meet with the PI at least twice a week, and more if needed, to discuss progress and troubleshooting.
A formal evaluation of student progress will be given at the mid and end of the program period.
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| Student Qualifications | The student should be pursuing a STEM degree and have taken courses related to cell biology. |
| Summer Schedule Options | Research Dates: May 22 to July 28, 2023 Schedule: Schedule is flexible |
| Project Continuation | Fall 2023, Spring 2024 |
| Academic Year Time Commitment | 6 hours/week |
| Possible Thesis Project | Yes |
Application
Submit an online application for this research opportunity at https://quest.uconn.edu/prog/HRP23-45. The application deadline is Monday, January 30, 2023.
This application requires a resume or CV and science GPA. References should be available upon request.