Hacking bacteria to fight cancer - Tal Danino
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Some cancer cells find ways to hide from the body’s immune cells. One of the common tricks cancer cells use is by making a protein called CD47. This protein stays on the surface of the cancer cells and sends a “D on’t eat me” signal to immune cells. So, the immune cells do not attack the cancer cells.
To address this problem, scientists have developed antibodies that can bind to this CD47 protein masking the “Don’t eat me” signal so the immune cells can attack and eliminate the cancer cells. But bacteria cannot be engineered to make normal and effective antibodies for CD47.
Dr. Michael Dougan and his colleagues at Massachusetts General Hospital in Boston developed a smaller version of the molecule called a nanobody. Interestingly, these nanobodies are tiny enough for the bacteria to make and they are more potent that traditional antibodies.
Drs. Tal Danino and Nicholas Arpaia at Columbia University in New York inserted nanobody genes inside a type of bacteria equipped with synchronized lysis circuit. Then large numbers of this bacteria were grown and injected in mouse tumors. Inside the mouse tumor, the bacteria multiplied happily. As the synchronized lysis circuit was programmed for mass self-destruction, the majority of the bacteria ripped themselves apart spilling out nanobodies that bound to the CD47 on cancer cells. The camouflage of the cancer cells was compromised, and immune cells killed the tumor.
Interestingly, once the tumor that received direct injection of bacteria shrank, other tumors in other parts of the mice also reduced in size. There is a possibility that the bacteria not only attracted the immune cells to kill the tumor where they were injected, but also, they taught the immune system to recognize similar types of tumors in other parts of the mice.
-NYT : https://www.nytimes.com/2019/07/03/science/cancer-bacteria-immune-system.html
-TED talk: https://www.ted.com/talks/tal_danino_we_can_use_bacteria_to_detect_cancer_and_maybe_treat_it?language=en
-Danino lab: http://daninolab.nyc/
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