What can we learn from article "decoding car t cell phenotype using combinatorial signaling motif libraries and machine learning"?

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20-12-2022
Computers and Technology

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What can we learn from article "decoding car t cell phenotype using combinatorial signaling motif libraries and machine learning"?

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ShubhamSrivastava ShubhamSrivastava · Answer 1 · 2022-12-24T03:01:54-05:00

According to the study "decoding Car T Cell phenotype using combinatorial signalling motif libraries and machine learning," important design rules might be extracted using neural networks.

How can the T expression be located on a CAR?

In the process of creating CAR-T cells, assessing CAR expression is a crucial stage. Flow cytometry is frequently used for this, with protein L, anti-Fab antibodies, or target antigens as detection agents. CAR T cells, as was previously established, have receptors that specifically target naturally occurring antigens. In CAR T-cell therapy, the immune system has no function other than to lend T cells. On the other hand, MHC is used in TCR treatment to label cancer cells with identifiable antigens.

The doctor will check to determine if the CAR T cells were successful after around three months. It's crucial to remember that CAR T cells kill every cell they are directed at, even healthy cells that had been taught to decode the combinatorial grammar of CAR signalling motifs.

Learn more about the Neural networks here: https://brainly.com/question/27792997

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