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Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor.
O'Shaughnessy, Ellen C; Stone, Orrin J; LaFosse, Paul K; Azoitei, Mihai L; Tsygankov, Denis; Heddleston, John M; Legant, Wesley R; Wittchen, Erika S; Burridge, Keith; Elston, Timothy C; Betzig, Eric; Chew, Teng-Leong; Adalsteinsson, David; Hahn, Klaus M.
Afiliação
  • O'Shaughnessy EC; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Stone OJ; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • LaFosse PK; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Azoitei ML; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Tsygankov D; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Heddleston JM; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA.
  • Legant WR; Advanced Imaging Center, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.
  • Wittchen ES; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.
  • Burridge K; Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Elston TC; Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Betzig E; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Chew TL; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.
  • Adalsteinsson D; Advanced Imaging Center, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.
  • Hahn KM; Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC david@unc.edu.
J Cell Biol ; 218(9): 3153-3160, 2019 09 02.
Article em En | MEDLINE | ID: mdl-31444239
Lattice light-sheet microscopy (LLSM) is valuable for its combination of reduced photobleaching and outstanding spatiotemporal resolution in 3D. Using LLSM to image biosensors in living cells could provide unprecedented visualization of rapid, localized changes in protein conformation or posttranslational modification. However, computational manipulations required for biosensor imaging with LLSM are challenging for many software packages. The calculations require processing large amounts of data even for simple changes such as reorientation of cell renderings or testing the effects of user-selectable settings, and lattice imaging poses unique challenges in thresholding and ratio imaging. We describe here a new software package, named ImageTank, that is specifically designed for practical imaging of biosensors using LLSM. To demonstrate its capabilities, we use a new biosensor to study the rapid 3D dynamics of the small GTPase Rap1 in vesicles and cell protrusions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Técnicas Biossensoriais / Transdução de Sinais / Proteínas de Ligação a Telômeros / Transferência Ressonante de Energia de Fluorescência / Células Endoteliais da Veia Umbilical Humana Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Técnicas Biossensoriais / Transdução de Sinais / Proteínas de Ligação a Telômeros / Transferência Ressonante de Energia de Fluorescência / Células Endoteliais da Veia Umbilical Humana Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article