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A new tool to determine the cellular metabolic landscape: nanotechnology to the study of Friedreich's ataxia
2019
Scientific Reports
Understanding the cell response to oxidative stress in disease is an important but difficult task. Here, we demonstrate the feasibility of using a nanomotion sensor to study the cellular metabolic landscape. This nanosensor permits the non-invasive real-time detection at the single-cell level and offers high sensitivity and time resolution. We optimised the technique to study the effects of frataxin overexpression in a cellular model of Friedreich's ataxia, a neurodegenerative disease caused by
doi:10.1038/s41598-019-55799-z
pmid:31848436
pmcid:PMC6917756
fatcat:465z5h7mwvebjofjxedxwe3kru