Literature DB >> 32681822

Combined Selective Plane Illumination Microscopy and FRAP Maps Intranuclear Diffusion of NLS-GFP.

Chad M Hobson1, E Timothy O'Brien2, Michael R Falvo2, Richard Superfine3.   

Abstract

Since its initial development in 1976, fluorescence recovery after photobleaching (FRAP) has been one of the most popular tools for studying diffusion and protein dynamics in living cells. Its popularity is derived from the widespread availability of confocal microscopes and the relative ease of the experiment and analysis. FRAP, however, is limited in its ability to resolve spatial heterogeneity. Here, we combine selective plane illumination microscopy (SPIM) and FRAP to create SPIM-FRAP, wherein we use a sheet of light to bleach a two-dimensional (2D) plane and subsequently image the recovery of the same image plane. This provides simultaneous quantification of diffusion or protein recovery for every pixel in a given 2D slice, thus moving FRAP measurements beyond these previous limitations. We demonstrate this technique by mapping both intranuclear diffusion of NLS-GFP and recovery of 53BP1-mCherry, a marker for DNA damage, in live MDA-MB-231 cells. SPIM-FRAP proves to be an order of magnitude faster than fluorescence-correlation-spectroscopy-based techniques for such measurements. We observe large length-scale (>∼500 nm) heterogeneity in the recovery times of NLS-GFP, which is validated against simulated data sets. 2D maps of NLS-GFP recovery times showed no pixel-by-pixel correlation with histone density, although slower diffusion was observed in nucleoli. Additionally, recovery of 53BP1-mCherry was observed to be slowed at sites of DNA damage. We finally developed a diffusion simulation for our SPIM-FRAP experiments to compare across techniques. Our measured diffusion coefficients are on the order of previously reported results, thus validating the quantitative accuracy of SPIM-FRAP relative to well-established methods. With the recent rise of accessibility of SPIM systems, SPIM-FRAP is set to provide a straightforward means of quantifying the spatial distribution of protein recovery or diffusion in living cells.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32681822      PMCID: PMC7399492          DOI: 10.1016/j.bpj.2020.07.001

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  35 in total

1.  In vivo pair correlation analysis of EGFP intranuclear diffusion reveals DNA-dependent molecular flow.

Authors:  Elizabeth Hinde; Francesco Cardarelli; Michelle A Digman; Enrico Gratton
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

2.  Accuracy and precision in camera-based fluorescence correlation spectroscopy measurements.

Authors:  Jagadish Sankaran; Nirmalya Bag; Rachel Susan Kraut; Thorsten Wohland
Journal:  Anal Chem       Date:  2013-04-04       Impact factor: 6.986

3.  Fluorescence correlation spectroscopy. II. An experimental realization.

Authors:  D Magde; E L Elson; W W Webb
Journal:  Biopolymers       Date:  1974-01       Impact factor: 2.505

4.  Trichostatin A-induced histone acetylation causes decondensation of interphase chromatin.

Authors:  Katalin Fejes Tóth; Tobias A Knoch; Malte Wachsmuth; Monika Frank-Stöhr; Michael Stöhr; Christian P Bacher; Gabriele Müller; Karsten Rippe
Journal:  J Cell Sci       Date:  2004-08-03       Impact factor: 5.285

5.  Universal Approach to FRAP Analysis of Arbitrary Bleaching Patterns.

Authors:  Daniel Blumenthal; Leo Goldstien; Michael Edidin; Levi A Gheber
Journal:  Sci Rep       Date:  2015-06-25       Impact factor: 4.379

6.  Combined Atomic Force Microscope and Volumetric Light Sheet System for Correlative Force and Fluorescence Mechanobiology Studies.

Authors:  E Nelsen; C M Hobson; M E Kern; J P Hsiao; E T O'Brien Iii; T Watanabe; B M Condon; M Boyce; S Grinstein; K M Hahn; M R Falvo; R Superfine
Journal:  Sci Rep       Date:  2020-05-18       Impact factor: 4.379

7.  Epi-illumination SPIM for volumetric imaging with high spatial-temporal resolution.

Authors:  Bin Yang; Xingye Chen; Yina Wang; Siyu Feng; Veronica Pessino; Nico Stuurman; Nathan H Cho; Karen W Cheng; Samuel J Lord; Linfeng Xu; Dan Xie; R Dyche Mullins; Manuel D Leonetti; Bo Huang
Journal:  Nat Methods       Date:  2019-05-06       Impact factor: 28.547

8.  Phase separation of 53BP1 determines liquid-like behavior of DNA repair compartments.

Authors:  Sinan Kilic; Aleksandra Lezaja; Marco Gatti; Eliana Bianco; Jone Michelena; Ralph Imhof; Matthias Altmeyer
Journal:  EMBO J       Date:  2019-07-01       Impact factor: 11.598

9.  Mapping eGFP oligomer mobility in living cell nuclei.

Authors:  Nicolas Dross; Corentin Spriet; Monika Zwerger; Gabriele Müller; Waldemar Waldeck; Jörg Langowski
Journal:  PLoS One       Date:  2009-04-04       Impact factor: 3.240

10.  Correlating nuclear morphology and external force with combined atomic force microscopy and light sheet imaging separates roles of chromatin and lamin A/C in nuclear mechanics.

Authors:  Chad M Hobson; Megan Kern; E Timothy O'Brien; Andrew D Stephens; Michael R Falvo; Richard Superfine
Journal:  Mol Biol Cell       Date:  2020-04-08       Impact factor: 4.138

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  4 in total

Review 1.  Quantitative Bio-Imaging Tools to Dissect the Interplay of Membrane and Cytoskeletal Actin Dynamics in Immune Cells.

Authors:  Falk Schneider; Huw Colin-York; Marco Fritzsche
Journal:  Front Immunol       Date:  2021-01-11       Impact factor: 7.561

Review 2.  A survey of physical methods for studying nuclear mechanics and mechanobiology.

Authors:  Chad M Hobson; Michael R Falvo; Richard Superfine
Journal:  APL Bioeng       Date:  2021-11-18

Review 3.  Modulating biomolecular condensates: a novel approach to drug discovery.

Authors:  Diana M Mitrea; Matthäus Mittasch; Beatriz Ferreira Gomes; Isaac A Klein; Mark A Murcko
Journal:  Nat Rev Drug Discov       Date:  2022-08-16       Impact factor: 112.288

4.  DeepFRAP: Fast fluorescence recovery after photobleaching data analysis using deep neural networks.

Authors:  Victor Wåhlstrand Skärström; Annika Krona; Niklas Lorén; Magnus Röding
Journal:  J Microsc       Date:  2021-01-16       Impact factor: 1.758

  4 in total

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