We are conducting a large-scale study analyzing brain tissues from mice and humans with different APOE genotypes, using both single-nucleus sequencing and spatial transcriptomics to assess RNA expression differences caused by APOE genotype. We are working with an expert bioinformatics core, but would like a data science student to help perform the analyses and act as an in-lab lead for the bioinformatics analysis. Prior experience analyzing RNA-sequencing data is preferred, but not required.

The project has both paid and unpaid options available. Determination will be made by the principal investigator.

Faculty Advisor

  • Professor: Tal Nuriel
  • Department/School: Pathology and Cell Biology
  • Location: P&S 12-430
  • My lab’s research revolves around understanding the role of the APOE4 gene in the development of Alzheimer’s disease. Our primary approach is to use top-down, systems biology tools to identify novel pathway effects caused by APOE4 gene expression.

Project Timeline

  • Earliest starting date: 10/1/2020
  • End date: 5/31/2021
  • Number of hours per week of research expected during Fall 2020: ~14

Candidate requirements

  • Skill sets: R, Python
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes
  • Additional comments: Previous experience analyzing RNA-sequencing data preferred, but not required