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Analyze Flow Cytometry Data to Evaluate CAR-T Cytotoxicity
Srutartha Bose
Srutartha Bose
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Analyze Flow Cytometry Data to Evaluate CAR-T Cytotoxicity

Use FlowJo and GraphPad Prism software to perform flow cytometry analysis and statistical analysis of CAR-T cytotoxicity dataset generated in cell and gene therapy industry.

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Apply now
Wednesdays
 at
5:00
P.M.
 ET /
2:00
P.M.
PT
8 weeks, 2-3 hours per week
Beginner
No experience required
No experience required
Some experience required
Degree and experience required

Description

In this Build Project, you'll wear the hat of Research Associate and evaluate Flow Cytometry datasets generated by a Tumor Cell Killing Potency assay. Under the supervision of an experienced Build Fellow, you will statistically analyze cytotoxicity datasets to compare the performance of different drug products. This project will expose you to FlowJo and GraphPad Prism (two very popular tools in biotechnology, biomedical and pharmaceutical industries), as well as familiarize you with critical assay attributes. By completing this project, you will be able to make business-driven scientific in an environment that simulates the operations of a real Analytical Development team.

Session timeline

  • Applications open
    May 27, 2024
  • Application deadline
    June 23, 2024
  • Project start date
    Week of July 8, 2024
    Week of
    July 8, 2024
  • Project end date
    Week of

What you will learn

  • Use FlowJo software to perform subjective analysis on complex cytotoxicity datasets
  • Use GraphPAD Prism to evaluate drug product portfolios
  • Use communication skills to engage in team-based discussions and mock interviews
  • Use scientific writing skills to author industrial protocols
  • Use presentation skills to discuss scientific determinations

Project workshops

1
Introductions
2
CAR-T Cytotoxicity Assay
3
Flow Cytometry Basics
4
FlowJo Tutorial
5
Drug Product Profiling
6
GraphPad Prism Tutorial
7
Troubleshooting Workshop
8
Presentations

Prerequisites

  • Basic knowledge of T-cells: you should be able to understand CAR-T cell killing mechanism.
  • Basic knowledge of Statistics: you should be able to calculate Mean and Variability in given datasets.
  • Basic knowledge of using MS Word features such as linking References, tracking and updating Reviews, Commenting and responding to and incorporating feedback.
  • Other prerequisites: before the project starts, you'll need to have MS Excel, MS Word, and a functional camera and mic.

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About the expert

Srutartha Bose

Biomedical Engineering Fellow
Open Avenues Foundation
Srutartha Bose is a Senior Research Associate at CRISPR Therapeutics where she works on the analytical development of immuno-oncologic drug products in addition to working as a Biomedical Engineering Global Talent Fellow at Open Avenues, where she works with students leading projects in biomedical science/engineering
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