Certain drugs are more efficient in one individual than the other. This can be better understood with the key mutation of cancer cells on the N-terminus.

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Better therapies for cancer and other diseases can be developed by understanding the complexities of oncogenesis and cell signaling.
The Aye Lab has published two related papers on this discovery in the last couple of months, both in Cell Chemical Biology. "Privileged Electrophile Sensors: A Resource for Covalent Drug Development" was published online; "β-TrCP1 Is a Vacillatory Regulator of Wnt Signaling" was published online.
The first paper explains how reduction-oxidation, or redox, signaling which is commonplace inside cells affects the activity of specific enzymes, and how certain enzymes' redox-specific processes could be harnessed for targeted drug design.
Research for the second paper started to test that theory. To determine which signals are affecting the response of a particular protein, the group used its T-REX procedure coupled with a widely used strategy to deplete the cell of a specific protein of interest.
One challenge is that multiple variations, or isoforms, of the same protein can all catalyze the same cellular function, "but the nuances of biology rest in how individual isoforms are regulated," Aye said.
The group's first key finding: The "cross-talk," or interaction back and forth, between cell signaling pathways is regulated depending on the concentration of a certain transcription factor (Nrf2), a fact that isn't clear unless you are able to selectively stimulate Nrf2 signaling, a method Aye pioneered.
"What we've discovered as a strategy is a means to target this pathway in the cancer cells that carry selective mutations on this domain [the N terminus]," Aye said. "Potentially, patients can be genotyped to see if they carry these mutations, and they should respond much better to small molecules that activate antioxidant response."
Aye said understanding the many complexities of oncogenesis and cell signaling is crucial to developing better therapies for cancer and other diseases. "We could design much more selective therapeutics by understanding the underlying cross-talk," she said.
Source-Eurekalert
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