首页|Chinese Academy of Sciences Reports Findings in Cancer Gene Therapy (Robotic Act uation-Mediated Quantitative Mechanogenetics for Noninvasive and On-Demand Cance r Therapy)

Chinese Academy of Sciences Reports Findings in Cancer Gene Therapy (Robotic Act uation-Mediated Quantitative Mechanogenetics for Noninvasive and On-Demand Cance r Therapy)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Biotechnology-Cancer Gene Therapy is the subject of a report. According to news reporting originatin g from Changchun, People's Republic of China, by NewsRx correspondents, research stated, "Cell mechanotransduction signals are important targets for physical th erapy. However, current physiotherapy heavily relies on ultrasound, which is gen erated by high-power equipment or amplified by auxiliary drugs, potentially caus ing undesired side effects." Our news editors obtained a quote from the research from the Chinese Academy of Sciences, "To address current limitations, a robotic actuation-mediated therapy is developed that utilizes gentle mechanical loads to activate mechanosensitive ion channels. The resulting calcium influx precisely regulated the expression of recombinant tumor suppressor protein and death-associated protein kinase, leadi ng to programmed apoptosis of cancer cell line through caspase-dependent pathway . In stark contrast to traditional gene therapy, the complete elimination of ear ly- and middle-stage tumors (volume 100 mm) and significant growth inhibition of late-stage tumor (500 mm) are realized in tumor-bearing mice by transfecting me chanogenetic circuits and treating daily with quantitative robotic actuation in a form of 5 min treatment over the course of 14 days."

ChangchunPeople's Republic of ChinaA siaBioengineeringBiotechnologyCancerCancer Gene TherapyCancer TherapyDrugs and TherapiesEmerging TechnologiesGene TherapyHealth and MedicineMachine LearningOncologyPharmaceuticalsRoboticsRobotsTherapy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.2)