2022 AMI Online Salon
Cancer Heterogeneity
Project Detail
- Entrant Name: Stephen Boyd
- Other Contributors: Cameron Slayden
- Client: Bioskryb Genomics
- Copyright: Bioskryb Genomics, 2021
- Medium/software used: Cinema4D, X-particles, Adobe After Effects, Adobe Premiere
- Final presentation format: MP4, Web
- Primary Audience: Investors, Oncology Researchers, Eventually Oncologists and Patients
Project Description
Cancer Heterogeneity presents Bioskryb’s unique solution to understanding mutation pathways in the tumor microenvironment. The animation outlines multiple layers of selection that act upon cancer cells, including immune escape, survival, metastasis, and resistance to treatments, which are a major obstacle in the efficient and permanent eradication of cancer. The video explains how Bioskryb’s novel approach of evaluating the genomes of every cell in the sample coupled with massive data collection and processing can deepen understanding of these selection pathways and, as a result, potential therapeutic approaches. A primary challenge of the piece was to clearly visualize the subtle diversity present in cancer cell populations. The piece uses automated cell division with color-coding and distinct levels of saturation to clearly differentiate the various types of tumor cells. In addition, an uncommon technical approach was used to depict the tumor in its entirety by showing these colored cells en masse, emphasizing the overwhelming amount of allele variation that can be detected using Bioskryb’s Primary Template-directed Amplification, a novel whole-genome amplification approach.