Tissues are incredibly diverse, composed of many different cell types with assorted distribution patterns and gene expression profiles. New approaches to efficiently and cost effectively tease apart this cellular diversity are constantly arising. Now, digital methods are entering the game, allowing researchers to use computational algorithms to estimate the relative distribution of cell types from bulk gene expression data.
Download this compendium from Drug Discovery News and its life sciences partner, Agilent, to learn about different experimental and digital methods to profile cells.
Here’s a sneak peek at what’s inside
- Poster: modeling disease, from animals to AI
- Application note: high throughput immune cell profiling using digital technologies
- Poster: traversing the tumor microenvironment with spatial biology
- Application note: characterizing tissue cell types using digital cytometry
