Decoding Cancer: Practical Advice for Working with Cellular

In this webinar, you will learn about the process for genotyping cells—particularly tumor cells—and practical advice for analyzing the resulting data.

The main points that we will cover are:

Practical advice and methods for sample collection and preparation for your genotyping experiments
An overview of the available data analysis methods for your genotyping results
Examples of pathway analysis methods for determining potential mechanisms within your system
Advice, tips, and applications for your genotyping experiments
Dr. Ania Wronski, a breast cancer researcher from Tufts University, will guide you through the process of investigating the genotype of tumor cells. Join her in this webinar as she takes you from sample collection to data analysis.

The American Cancer Society predicts that 1.7 million new cancer cases will be diagnosed and almost 600,000 cancer deaths will occur this year in the United States alone. These staggering numbers prompted the creation of the National Cancer Moonshot initiative in the US and contributed to the prominent position of cancer research in the European Union’s Horizon 2020 project.

Recent evidence suggests that cells within a particular tumor are not all genetically identical. Most tumors exhibit some degree of cellular heterogeneity. While most cells within the tumor possess one or more dominant mutations, sometimes there is a subpopulation with different ones. Researchers hypothesize that these subpopulations might be responsible for resistance to therapeutic agents. Discovering the genotype of tumor cells might yield new therapeutic targets to aid in the fight against multidrug resistance of cancer.

Ania will use her own research as an example and give you a broad strokes overview of the steps necessary to interrogate the genotype of tumors. She will lead you through the collection and preparation of samples and discuss available data analysis methods. Finally, she will share examples of pathway analysis that can be used to discover potential mechanisms.

Decoding Cancer: Practical Advice for Working with Cellular