How Cell Painting is making its mark on drug discovery

Advancing the field of drug discovery

In recent years, Cell Painting has gained popularity across a wide range of research areas. For example, you can knock down or overexpress genes and look at their phenotypic profile to get a handle on the functions and the pathways of a specific gene.

Drug discovery is another area where Cell Painting is really making significant strides. It can be used to identify targets, toxicity in molecules, or compounds that are being studied. It can also be used to gain insights into different mechanisms of action or signaling pathways. In addition, you can test compounds in different cell lines and assess drug effects on potentially different organs. There are studies in which Cell Painting was used to screen pharmacological compounds in breast cancer cell lines. In these instances, the potential application is in the context of personalized medicine. By looking at the profiles that these compounds produce, researchers could identify the most suitable treatment for a specific clinical subtype.

As we all know, the drug discovery process is very costly. It typically takes about ten years and has a high attrition rate, making it very difficult to bring a drug to market. Recursion Pharma is a great example of a company that’s really leading the way in advancing the drug discovery process through Cell Painting. They implemented their own special machine learning pipeline to identify potential hits for drug discovery. The company was founded in 2013 and they already have four candidates in Phase 2 clinical trials and another six candidates in Phase 1.

Advantages of using Cell Painting over traditional cellular labeling assays

Cell Painting or phenotypic profiling is different from most classical image-based screening assays because you are casting a much wider net to gather as much data as you can. In other words, it is unbiased. In traditional screening assays, scientists are using hypothesis-driven approaches, meaning they would normally analyze some specific targets in their assay and measure a handful of features. Conversely, with Cell Painting you're gathering all the information using a standardized assay*. Because the study is not limited to a hypothesis or preexisting information, profiling assays increases the opportunity for novel discoveries. In addition, the data that is collected from one experiment can potentially be used for future experiments. That data can be mined differently to study other biological processes.

 

The Cell Painting assay is also highly adaptable to different applications, from studying gene function to identifying potential therapeutic compounds for SARS-CoV-2. It has also been demonstrated to be suitable for use on different cell types. This potentially is useful for assessing the effects of compounds or environmental chemicals on the human physiology.

In essence, the Cell Painting assay is very data rich, highly multiplexed and as thorough as it can be. The Carpenter lab at the Broad Institute summarizes it best, “Measure everything, ask questions later.”

* The standard Cell Painting assay referenced here is from Gustadottir et al 2013. Since then, there were other works published using different dyes suitable for their specific study.