What do you predict the future of cancer technology will look like? Do you have any suggestions of how researchers could better spend their money on cancer research?
Good question! It’s hard to determine what the future looks like, but I would imagine that a lot of biotechnology would involved. I would suggest that researchers spend their money on things that have previously been identified as potential uses within this specific research in order to have the best outcome for patients!
Thank you for your question! I would definitely love to do more copies of the experiments, especially the dose response curve. I want to understand how exactly Allicin is working, and I think that more iterations of the experiment are needed.
It is hard for us to know if there was an error or not! We included that in the poster as a possible reason for these results, however it is possible that this is the actual response of Allicin within these flies! I believe that more experiments are needed to validate these results.
Radiation works by causing double stranded DNA breaks and causing the cancer cells to die. Normal, non-cancer cells have the ability to repair these damages but cancer cells usually do not. A statistical hit is identified as two standard deviations above or below the mean of the negative control. In this case, we had to “hits” which were two standard deviations below the mean of the negative control, identifying Allicin as a potential chemotherapeutic.
I’m not sure I know exactly how Allicin would impact the DNA on a molecular level. I think that more specific research would need to be done in order to determine this. However, from the results of our experiment, I do believe that Allicin does have some substantial effect on cells and would love to figure out exactly how it is doing this.
What do you predict the future of cancer technology will look like? Do you have any suggestions of how researchers could better spend their money on cancer research?
Good question! It’s hard to determine what the future looks like, but I would imagine that a lot of biotechnology would involved. I would suggest that researchers spend their money on things that have previously been identified as potential uses within this specific research in order to have the best outcome for patients!
What would you do differently, if anything, if you could do this project over again?
Thank you for your question! I would definitely love to do more copies of the experiments, especially the dose response curve. I want to understand how exactly Allicin is working, and I think that more iterations of the experiment are needed.
Where do you believe the most probable error came from and how did it effect the results?
It is hard for us to know if there was an error or not! We included that in the poster as a possible reason for these results, however it is possible that this is the actual response of Allicin within these flies! I believe that more experiments are needed to validate these results.
How does radiation treat cancer cells? Also what counts as a statistical hit?
Radiation works by causing double stranded DNA breaks and causing the cancer cells to die. Normal, non-cancer cells have the ability to repair these damages but cancer cells usually do not. A statistical hit is identified as two standard deviations above or below the mean of the negative control. In this case, we had to “hits” which were two standard deviations below the mean of the negative control, identifying Allicin as a potential chemotherapeutic.
How would you predict Allicin to impact DNA on a molecular level during the treatment?
I’m not sure I know exactly how Allicin would impact the DNA on a molecular level. I think that more specific research would need to be done in order to determine this. However, from the results of our experiment, I do believe that Allicin does have some substantial effect on cells and would love to figure out exactly how it is doing this.