Scientists have long known that mitochondria, the "powerhouses" of cells, play a crucial role in the metabolism and energy production of cancer cells. However, until now, little was known about the relationship between the structural organization of mitochondrial networks and their functional bioenergetic activity at the level of whole tumors.
In a new study, published in Nature, researchers from the UCLA Jonsson Comprehensive Cancer Center used positron emission tomography (PET) in combination with electron microscopy to generate 3-dimensional ultra-resolution maps of mitochondrial networks in lung tumors of genetically engineered mice. They categorized the tumors based on mitochondrial activity and other factors using an artificial intelligence technique called deep learning, quantifying the mitochondrial architecture across hundreds of cells and thousands of mitochondria throughout the tumor.
Read the full UCLA press release.
The study was led by Dr. Mingqi Han, a post-doctoral researcher in Dr. David Shackelford's lab at UCLA and was supported in part by a CTSI KL2 Translational Science Award.
Image source: Shackelford Lab
