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FluoSim: simulator of single molecule dynamics for fluorescence live-cell and super-resolution imaging of membrane proteins.
Lagardère, Matthieu; Chamma, Ingrid; Bouilhol, Emmanuel; Nikolski, Macha; Thoumine, Olivier.
Affiliation
  • Lagardère M; CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Univ. Bordeaux, 33000, Bordeaux, France.
  • Chamma I; CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Univ. Bordeaux, 33000, Bordeaux, France.
  • Bouilhol E; CNRS, IBGC, UMR 5095, Univ. Bordeaux, 33000, Bordeaux, France.
  • Nikolski M; CNRS, IBGC, UMR 5095, Univ. Bordeaux, 33000, Bordeaux, France.
  • Thoumine O; CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Univ. Bordeaux, 33000, Bordeaux, France. olivier.thoumine@u-bordeaux.fr.
Sci Rep ; 10(1): 19954, 2020 11 17.
Article in En | MEDLINE | ID: mdl-33203884
ABSTRACT
Fluorescence live-cell and super-resolution microscopy methods have considerably advanced our understanding of the dynamics and mesoscale organization of macro-molecular complexes that drive cellular functions. However, different imaging techniques can provide quite disparate information about protein motion and organization, owing to their respective experimental ranges and limitations. To address these issues, we present here a robust computer program, called FluoSim, which is an interactive simulator of membrane protein dynamics for live-cell imaging methods including SPT, FRAP, PAF, and FCS, and super-resolution imaging techniques such as PALM, dSTORM, and uPAINT. FluoSim integrates diffusion coefficients, binding rates, and fluorophore photo-physics to calculate in real time the localization and intensity of thousands of independent molecules in 2D cellular geometries, providing simulated data directly comparable to actual experiments. FluoSim was thoroughly validated against experimental data obtained on the canonical neurexin-neuroligin adhesion complex at cell-cell contacts. This unified software allows one to model and predict membrane protein dynamics and localization at the ensemble and single molecule level, so as to reconcile imaging paradigms and quantitatively characterize protein behavior in complex cellular environments.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cell Membrane / Fluorescence Recovery After Photobleaching / Single Molecule Imaging / Membrane Proteins / Microscopy, Fluorescence Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cell Membrane / Fluorescence Recovery After Photobleaching / Single Molecule Imaging / Membrane Proteins / Microscopy, Fluorescence Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Type: Article Affiliation country: France