Advancing Cancer Immunotherapy: A Focus on Analytical Methods in Drug Development
Exploring concepts of Cancer Biology and Genetic Engineering including the CRISPR/Cas9 system and associated data analytics part of a finished drug product

Yesh Muralidharan

Description
Foundational knowledge on research techniques like ELISA, Flow Cytometry, cell culture, and data analysis as well concepts involving Immunology, cancer biology, and genetic engineering techniques are crucial in the biotech industry for scientific researchers. It enables students to meet the expectations of entry level jobs but also allows for a smooth transition from academia to industry. In this Build Project, you will wear the hat of a scientific researcher trying to develop an analytical method to help understand different drug product characteristics. You will explore the practical applications of analytical methods such as flow cytometry and co-culture assays, while also learning to use data analysis software like FlowJo and GraphPad Prism. These tools, widely used in the industry, are essential for interpreting data that informs critical decisions in drug development. The aim is to equip you with the necessary tools to develop your own analytical approach for evaluating various drug parameters while introducing you to the many different opportunities the biotech industry has to offer!
Application timeline
What you will learn
- Understand principles of Cancer Cell Biology, Disease Models, and Immunotherapy.
- Use industry standard software like FlowJo and GraphPad Prism to perform data analysis.
- Understand the principles of analytical methods like ELISA, Flow Cytometry, and Cell Culture and their applications in industry specific functions.
Project workshops
Prerequisites
- Understanding of cellular biology, including cell signaling pathways, signal transduction, cellular metabolism, and cellular stress responses.
- Strong understanding of the central dogma (DNA replication, transcription, and translation), with some familiarity with molecular biology techniques such as PCR and ELISA.
- Basic understanding of statistical concepts including mean, variation, standard deviation, confidence intervals, P-values, and hypothesis testing.
- Ability to perform literature reviews using scientific databases such as PubMed and Google Scholar, with basic proficiency in Microsoft PowerPoint and Word for presenting data and assignments.
- Critical thinking skills to understand the use of technical tools for data analysis in industry.
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About the Fellow

Yesh Muralidharan

Yesh Muralidharan is a Molecular Biology Build Fellow at Dream Venture Labs, where he works with students leading projects in Molecular Biology. Yesh is a Research Associate II at CRISPR Therapeutics, where he focuses on developing analytical methods using Flow Cytometry and Cell culture to help characterize drug product attributes like potency, efficacy, and safety. Yesh has 3 years of experience in Biotechnology. Before his time at CRISPR Therapeutics, he worked as research assistant at Johns Hopkins University where his research was primarily centered on cell line development and improved efficiency of cell line product yield. He also worked on helping support studies involved in understanding antibody responses in patients with different COVID-19 variants. He holds a master’s in Biotechnology from Johns Hopkins University. A fun fact about Yesh is that he likes to travel, cook, and learn new hobbies. His most recent list of hobbies include crocheting, rock climbing, and getting back to reading books again. He has a sweet tooth and is always looking for new baking recipes.