Difference between revisions of "Team:MIT/Clinical Applications"
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Revision as of 00:41, 19 October 2016
Clinical Applications
Developing a diagnosis
Endometriosis is a complex disease – any diagnostic needs to account for a variety of factors. We opted for a three-pronged approach, sensing progesterone resistance and miRNA dysfunction while maintaining temporal specificity. Each of these components represents a key hallmark of the disease, and when put together can create a sensitive diagnostic tool.
Implementing a Diagnosis
We initially contemplated creating an in-vivo diagnostic, but changed our minds after speaking with Professor Linda Griffith (MIT). Realistically, inserting a genetic circuit into a human (likely through the use of a viral vector) is many years away from being a possibility due to major safety concerns. Implementing an in-vitro diagnostic that can be used on an endometrial biopsy is more feasible. An endometrial biopsy is a procedure that can be done in a doctor’s office without anesthesia and is commonly used when testing for endometrial cancer. While not a pain-free procedure, endometrial biopsies are considerably less invasive than laparoscopic surgery, the current diagnostic method for endometriosis. The tissue from the biopsy can be dosed with hormones.... TALK MORE ABOUT THIS, UNSURE OF SPECIFICS. https://2016.igem.org/Team:MIT/Clinical_Applications
Synthetic Biology & Medicine - How SynBio Approaches Can Transform Diagnostics
Our approach of using a genetic circuit to sense diseased cells presents possibilities beyond endometriosis. Similar strategies can be used to diagnose other diseases... KEEP GOING WITH THIS https://2016.igem.org/Team:MIT/Clinical_Applications
