Computational approach may lead to more effective cellular therapies

Professor Jose Polo

Cellular therapy is a powerful strategy to produce patient-specific, personalised cells to treat many diseases, including heart disease and neurological disorders. But a major challenge for cell therapy applications is keeping cells alive and well in the lab. Collaborators at the BDI and Duke-NUS Medical School, Singapore, have developed a first-of-its-kind computational approach called EpiMogrify that can predict which molecules are needed to keep cells healthy in laboratory cultures, which could enable more effective cellular therapies against major diseases. Their findings, published in Cell Systems, were reproduced in at least 17 outlets including Global Banking & Finance, Phys Org, Science Daily, MarketWatch and BioSpace. Senior and corresponding author of the study, ARC Future Fellow Professor Jose Polo, from Monash BDI and ARMI, said, “This approach facilitates the identification of the optimum cell culture conditions for converting cells and also for growing the high-quality cells required for cell therapy applications.” EpiMogrify’s predicted molecules are available for other researchers to explore on a public database: