BME100 s2014:T Group9 L6
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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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LAB 6 WRITE-UP
TinkerCAD is a straightforward and easy to use program that allows the user to create different visual projects. The user can select from premade shapes the program offers, like spheres or cubes, and warp them in different sizes. It is also possible to change the color and combined many shapes into the desired pictures.
Feature 1: Disease SNP-Specific Primers
Background on the disease-associated mutation
It was found the species for this variation is homo sapien. This variation is found on teh chromosome 6:149721690 and the clinical significance was listed as other. This SNP is associated with the genes SUMO4 and TAB2. SUMO4, small ubiquitin-like modifier 4, is located in the cytoplasm of cells and specifically modifies IRBA. The diseases linked to it are type 1 Diabetes, Type 2 Diabetes, nephropathy, and VKH syndrome.
If the template contains the non-disease allele PCR should not occur. This is due to the disease-specific primer and template not binding 1oo% to the non-disease allele because the non-disease allele had a sequence of GTG, when the disease-assocoated allele has a sequence of ATG.
Feature 2: Consumables Kit
The consumables kit will be held within a small b ox. This will include all the materials needed to preform a small number of PCR reactions. All items will be packaged in groups based on the item. They will then be labeled with a short description, and then they will be placed in the consumables box.
Feature 3: Hardware - PCR Machine & Fluorimeter
The new design for the software will allow for easier teaching and better understanding of why the PCR machine is being used. It gives a visual to all of the confusing words and terms being thrown around when describing the PCR process. The video will contain narration and labels for each component of the replication process.
Bonus Opportunity: What Bayesian Stats Imply About The BME100 Diagnostic Approach
When looking into the PCR results, it was made clear that the machine did not do the best job at predicting illness. For the percentage of people who developed the disease and also received a positive result from the machine was not a strong percentage. Unfortunately, it was not close to one, like it ideally would be. On the other hand, the people who did not develop the illness and received a negative result was closer to 1 than the prior results. While that is a much stronger result, overall the machine does not have a strong reliability.