Unlocking the Potential of Stem Cells for Personalized Medicine.
Originally Published 2 years ago — by SciTechDaily
Researchers from the Georgia Institute of Technology and Emory University have developed an intracellular toolkit to study organelle diversity and communication within stem cells, which includes rapid subcellular proteomic imaging and multiplexed immunofluorescence techniques. This toolkit allows for more accurate cell type classification and could lead to improved personalized cell therapies by identifying and isolating distinct stem cell subsets. The researchers also combined machine learning and spatial transcriptomics to analyze the spatial organization of multiple neighboring RNA molecules in single cells, providing insight into the importance of RNA-RNA proximity for accurate cell type classification.