711-Atlas-Guided Genetic Switches for T Cell Programming
Researchers have developed a computational atlas to solve the problem of T-cell exhaustion, a state where immune cells lose their ability to fight cancer. By utilizing the Taiji algorithm, the team identified specific transcription factors that act as genetic switches, distinguishing dysfunctional cells from protective memory T cells. Their findings highlight two previously unknown regulators, ZSCAN20 and JDP2, as primary drivers of immune burnout. Deactivating these specific switches in experiments successfully restored the tumor-killing power of the cells without harming long-term immunity…
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