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  • 标题:Large scale, single-cell FRET-based glucose uptake measurements within heterogeneous populations
  • 本地全文:下载
  • 作者:Adam J.M. Wollman ; Dimitrios Kioumourtzoglou ; Rebecca Ward
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:4
  • 页码:1-14
  • DOI:10.1016/j.isci.2022.104023
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryFluorescent biosensors are powerful tools allowing the concentration of metabolites and small molecules, and other properties such as pH and molecular crowding to be measured inside live single cells. The technology has been hampered by lack of simple software to identify cells and quantify biosensor signals in single cells. We have developed a new software package, FRETzel, to address this gap and demonstrate its use by measuring insulin-stimulated glucose uptake in individual fat cells of varying sizes for the first time. Our results support the long-standing hypothesis that larger fat cells are less sensitive to insulin than smaller ones, a finding that has important implications for the battle against type 2 diabetes. FRETzel has been optimized using the messy and crowded environment of cultured adipocytes, demonstrating its utility for quantification of FRET biosensors in a wide range of other cell types, including fibroblasts and yeast via a simple user-friendly quantitative interface.Graphical abstractDisplay OmittedHighlights•FRETzel is a new software package for easy analysis of FRET signals in cells•FRETzel is used to quantify glucose uptake in adipocytes of different sizes•Reduced glucose uptake suggests that larger adipocytes have lower insulin sensitivity•FRETzel is demonstrated on a range of cell types: yeast, fibroblasts, and adipocytesOptical imaging; Biological sciences; Cell biology; Bioinformatics; Biocomputational method
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