Amazing stuff!
"The new technology combines fluorescence resonance energy transfer (Fret) between two light-sensitive molecules with machine learning ...
Glucose is a vital energy source for almost all cell types, but the process of glycolysis in cancer often goes wrong. This can contribute to the diseased state of a malignant cell, supporting its ability to move, grow and divide. By pairing Fret technology with a new machine learning algorithm, [researchers] team were able to obtain images of glycolysis at a previously unachievable resolution, showing exactly which parts of the cell were using glucose in real time. ..."
Glucose is a vital energy source for almost all cell types, but the process of glycolysis in cancer often goes wrong. This can contribute to the diseased state of a malignant cell, supporting its ability to move, grow and divide. By pairing Fret technology with a new machine learning algorithm, [researchers] team were able to obtain images of glycolysis at a previously unachievable resolution, showing exactly which parts of the cell were using glucose in real time. ..."
"Single-cell motility is spatially heterogeneous and driven by metabolic energy. Directly linking cell motility to cell metabolism is technically challenging but biologically important. Here, we use single-cell metabolic imaging to measure glycolysis in individual endothelial cells with genetically encoded biosensors capable of deciphering metabolic heterogeneity at subcellular resolution. ..."
Single-cell metabolic imaging reveals a SLC2A3-dependent glycolytic burst in motile endothelial cells (no public access)
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