Biostatistic Data- Bet you don't what that is!

Okay! We have compelted the CLPA analysis. Some genes were not expressed and some genes were expressed. Great, but what do we do now? Well, as I mentioned previously, to determine whether there is a significant difference in expression you must complete a biostatistic of your data.

What is that, you say? Here, I got you. Let me explain. Biostatisctics is the branch of statistics branch of statistics that handles the proper interpretation of data generated in health sciences such as biology and public health. Dr. Lacombe completed this analysis with the help of some software (thank you technology).

Here are the results:

Okay... 22Rv1... PC3... but wait one's missing. DU145, what happened?

Well, when running the biostatistic we were looking to see if any genes were deferentially expressed between the single and fractionated dose treatments. DU145, as seen by the lack of a graph, did not have any genes that were differentially expressed.

ATTENTION: This does not mean that DU145 is no longer an important part of the results. Not finding something has just as many implication as finding something.

Now back to the data.

As indicated by the graph above, in the 22Rv1 cell line there were four genes that were differentially expressed between the SD and FD. These genes were PARP1, CDKN1A, DDB2, and TRIB2.

For PC3, there were four genes that were differentially expressed between the two treatments. These genes were DEDD, RPA1, and MDM.

One thing to keep in mind: These that were differentially expressed between the two treatments were different between the cell lines. (Look back and check. It's pretty cool right.)