Cell Biology
Machine learning model opens door to real-time detection of cell therapy contamination
Researchers at the Massachusetts Institute of Technology’s Singapore site have developed a new way to detect adventitious microbial contamination in mesenchymal stromal cell cultures. By using machine learning to predict if a culture is contaminated in near real-time, the approach could enable testing to take place during the production of cell therapy products. Read More
Berkeley Lab offers CRAGE kit for genome engineering
Lawrence Berkeley National Laboratory (Berkeley Lab) is offering a trial kit for its chassis-independent, recombinase-assisted, genome engineering (CRAGE) tool. Read More
Endosomal pH drives stemness in glioblastoma
A group of researchers has shown that endosomal pH drives stemness in glioblastoma. The group discovered that endosomal Na+/H+ exchanger isoform 9 is a novel driver of stem cell-like characteristics -- or stemness -- in glioblastoma by stabilizing multiple receptor tyrosine kinases, according to a recent paper published in PNAS Nexus. Read More
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