Researchers have developed an intracellular toolkit to study organelle communication and diversity within stem cells, combining rapid proteomic imaging, immunofluorescence techniques, and spatial transcriptomics. This toolkit allows for more accurate cell type classification and could lead to improv
, researchers examined a specific type of stem cell with an intracellular toolkit to determine which cells are most likely to create effective cell therapies.
“We are studying the placement of organelles within cells and how they communicate to help better treat disease,” said Coskun. “Our recent work proposes the use of an intracellular toolkit to map organelle bio-geography in stem cells that could lead to more precise therapies.”Creating the Subcellular Omics Toolkitportfolio journal — looked at mesenchymal stem cells that have historically offered promising treatments for repairing defective cells or modulating the immune response in patients.
“Usually, the stem cells are used to repair defective cells or treat immune diseases, but our micro-study of these specific cells showed just how different they can be from one another,” said Coskun. “This proved that patient treatment population and customized isolation of the stem cells identities and their bioenergetic organelle function should be considered when selecting the tissue source.
The experiment consisted of two parts: the development of computational methods and experiments at the lab bench. The researchers examined published datasets and an algorithm to group RNA molecules based on their physical location. This “nearest neighbor” algorithm helped determine gene groupings. On the bench, researchers then labeled RNA molecules with fluorescents to easily locate them in single cells.
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