20.109(S12): Cell-biomaterial engineering report
Back to Module 3.
The culminating written assignment for Module 3 will be relatively informal. You should continue to strive for clear writing and thorough explanations, but you do not have to provide as much context as you did in previous reports. You can assume a reader highly familiar with your work, such as a graduate school advisor to whom you are providing an update.
Collaboration and Integrity
For this assignment only, you and your partner (or even your entire super-group, if applicable) may share figures, figure captions, and supporting text if you wish. If you prefer to write the report separately rather than together, please let me know in advance.
This assignment is due by 5 PM on your final wet lab day, May 10th or 11th depending on lab section. Your data summary should submitted to 20109 DOT submit AT gmail DOT com, according to the usual naming convention, and you should also submit a hardcopy of the report (double-sided, please!) before you leave.
Assuming you are submitting one report per group, replace FirstInitial_LastName with TeamColour in the file name.
You should introduce the experimental question you investigated (citing publications if appropriate) in one paragraph. You can assume familiarity with cartilage tissue engineering on the part of the reader, and thus "zoom in" on your question and culture conditions immediately.
Summarize your findings and briefly suggest future work in about 2-3 pages, not counting figures. What we usually call Results and Discussion should be combined.
Prepare figures depicting results from the following assays: viability (including statistics), qPCR, ELISA, and DMMB. The figure captions should include any methodological details unique to your experiment in case future students want to repeat or build off of your work (e.g., number of cells analyzed, quantity of RNA used in qPCR, etc).
|Content||Approximate Worth (%)||Criteria|
|Background, Experimental Question, and Design||15||
|Results and Interpretation of Data||75||
|Contextualizing Results and Suggestions for Future Work||10||