How Camptothecin Affects Cell Cycle Progression

Data:

This data set is from an HCS experiment to characterize how camptothecin affects cell cycle progression.

Assay

Cells are treated with camptothecin for 24 hours at a gradient of concentrations:

Experiment design for the high-content screening data
                 used for this tutorial on high-content screening data
                 analysis and visualization.

Readout:

Three cellular parameters are monitored:The measurements of the high-content screening data used
                 for this tutorial on high-content screening data analysis
                 and visualization.

DNA Content

Since we are looking at the effects of a cell cycle drug, the first thing to look at would be the DNA content, our first channel. In the following 27-second video, we create a trellis of histograms of DNA content.
It is clear from the trellis graph of DNA content in the video that camptothecin has different effects on cell cycle progression at different concentrations. The "2N" and "4N" peaks are quite distinct in the the upper 5 panels. The distribution of DNA content in each panel also spreads out quite a lot. This is because the particular cell line used in this experiment shows a wide range of chromosome numbers.

The 2nd Channel, p53

In the following 12-second video, we use a boxplot to visualize the effect of camptothecin on p53.
The boxplot in the video clearly shows that the level of p53 in nuclei increases markedly at higher concentrations of camptothecin. The median of the H1 well is 4 times bigger than the median of the A1 well.

The 3rd Channel, pRb

Much like we did for the second channel, we can get a boxplot with Well as the X variable and Nucleus Intensity (pRb) in log scale as the Y variable:

Another boxplot for high-content screening data analysis and visualization

This boxplot clearly shows that as the concentration of camptothecin goes up, the level of pRb goes down.

Point to Ponder

If the expression level or phosphorylation state of a cellular protein changes in different phases of cell cycle, does it make sense not to examine a target protein in terms of the phases of cell cycle?

In the rest of this tutorial, we'll take cell cycle into account to see how p53 and pRb are affected by camptothecin.

Dividing Cells into 3 Categories Based on DNA Content

Here we will divide all cells in this experiment into 3 categories:In the following 23-second video, we will do all of the division graphically by making a histogram of DNA content of all cells and using a paint brush:
What we just demonstrated in the above video is essentially equivalent to creating on the fly a new categorical variable with 3 categories:

Visualizing p53 Responses in Different Phases of Cell Cycle

Now we have divided all cells into 3 groups, each corresponding to one phase of cell cycle. We can visualize this information on p53 responses, phases of cell cycle, and drug concentration with a trellis of boxplots. Because Panmo treats each plot as a viewport into the data space and allows us to retrieve any data visible in a viewport, we can use the data in the histogram at the end of last video to make this trellis of boxplots. The following video runs for 1 minute.
It's clear the patterns in the G1 and H1 panels (subject to the highest camptothecin concentrations) are distinctly different from those in other panels.

Visualizing pRb Responses in Different Phases of Cell Cycle

Following similar steps, we can easily get the following trellis of boxplots:

A trellis of boxplots of cell cycle phase and pRb responses
               conditioning on the well parameter for high-content screening
              data analysis and visualization

Note that the pattern in the H1 (subject to the highest camptothecin concentration) panel is distinctly different from those in other panels.

Visualizing the Relationship Between p53 and pRb Conditioning on Drug Concentration and Phases of Cell Cycle

Finally, we are going to take drug concentration and phases of cell cycle into account to explore the relationship between p53 and pRb. We do so by making a trellis of scatterplots of p53 versus pRb in the following 25-second video: