Literature DB >> 22307600

Protein-binding dynamics imaged in a living cell.

Yael Phillip1, Vladimir Kiss, Gideon Schreiber.   

Abstract

Historically, rate constants were determined in vitro and it was unknown whether they were valid for in vivo biological processes. Here, we bridge this gap by measuring binding dynamics between a pair of proteins in living HeLa cells. Binding of a β-lactamase to its protein inhibitor was initiated by microinjection and monitored by Förster resonance energy transfer. Association rate constants for the wild-type and an electrostatically optimized mutant were only 25% and 50% lower than in vitro values, whereas no change in the rate constant was observed for a slower binding mutant. These changes are much smaller than might be anticipated considering the high macromolecular crowding within the cell. Single-cell analyses of association rate constants and fluorescence recovery after photobleaching reveals a naturally occurring variation in cell density, which is translated to an up to a twofold effect on binding rate constants. The data show that for this model protein interaction the intracellular environment had only a small effect on the association kinetics, justifying the extrapolation of in vitro data to processes in the cell.

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Year:  2012        PMID: 22307600      PMCID: PMC3277120          DOI: 10.1073/pnas.1112171109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Protein folding and binding in confined spaces and in crowded solutions.

Authors:  Huan-Xiang Zhou
Journal:  J Mol Recognit       Date:  2004 Sep-Oct       Impact factor: 2.137

2.  Dynamics of receptor/G protein coupling in living cells.

Authors:  Peter Hein; Monika Frank; Carsten Hoffmann; Martin J Lohse; Moritz Bünemann
Journal:  EMBO J       Date:  2005-11-17       Impact factor: 11.598

3.  Evolutionary optimization of fluorescent proteins for intracellular FRET.

Authors:  Annalee W Nguyen; Patrick S Daugherty
Journal:  Nat Biotechnol       Date:  2005-02-06       Impact factor: 54.908

4.  Crowding and confinement effects on protein diffusion in vivo.

Authors:  Michael C Konopka; Irina A Shkel; Scott Cayley; M Thomas Record; James C Weisshaar
Journal:  J Bacteriol       Date:  2006-09       Impact factor: 3.490

5.  Quantification of amyloid precursor protein and tau for the study of axonal traffic pathways.

Authors:  Claire Goldsbury; Edda Thies; Sven Konzack; Eva-Maria Mandelkow
Journal:  J Neurosci       Date:  2007-03-28       Impact factor: 6.167

6.  Robust protein protein interactions in crowded cellular environments.

Authors:  Eric J Deeds; Orr Ashenberg; Jaline Gerardin; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-11       Impact factor: 11.205

7.  Effect of inert polymers on protein self-association.

Authors:  L W Nichol; A G Ogston; P R Wills
Journal:  FEBS Lett       Date:  1981-04-06       Impact factor: 4.124

8.  Protein-protein association in polymer solutions: from dilute to semidilute to concentrated.

Authors:  Noga Kozer; Yosef Yehuda Kuttner; Gilad Haran; Gideon Schreiber
Journal:  Biophys J       Date:  2006-12-22       Impact factor: 4.033

9.  Photobleaching recovery and anisotropy decay of green fluorescent protein GFP-S65T in solution and cells: cytoplasmic viscosity probed by green fluorescent protein translational and rotational diffusion.

Authors:  R Swaminathan; C P Hoang; A S Verkman
Journal:  Biophys J       Date:  1997-04       Impact factor: 4.033

10.  Translational diffusion of macromolecule-sized solutes in cytoplasm and nucleus.

Authors:  O Seksek; J Biwersi; A S Verkman
Journal:  J Cell Biol       Date:  1997-07-14       Impact factor: 10.539

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  36 in total

Review 1.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
Journal:  Curr Opin Struct Biol       Date:  2013-07-12       Impact factor: 6.809

2.  Molecular dynamics simulations of highly crowded amino acid solutions: comparisons of eight different force field combinations with experiment and with each other.

Authors:  Casey T Andrews; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-10-08       Impact factor: 6.006

3.  Single-molecule spectroscopy of protein conformational dynamics in live eukaryotic cells.

Authors:  Iwo König; Arash Zarrine-Afsar; Mikayel Aznauryan; Andrea Soranno; Bengt Wunderlich; Fabian Dingfelder; Jakob C Stüber; Andreas Plückthun; Daniel Nettels; Benjamin Schuler
Journal:  Nat Methods       Date:  2015-07-06       Impact factor: 28.547

Review 4.  Understanding biochemical processes in the presence of sub-diffusive behavior of biomolecules in solution and living cells.

Authors:  Sujit Basak; Sombuddha Sengupta; Krishnananda Chattopadhyay
Journal:  Biophys Rev       Date:  2019-08-23

5.  Quantifying enzyme activity in living cells.

Authors:  Agnes Zotter; Felix Bäuerle; Debabrata Dey; Vladimir Kiss; Gideon Schreiber
Journal:  J Biol Chem       Date:  2017-08-07       Impact factor: 5.157

6.  Weak protein-protein interactions in live cells are quantified by cell-volume modulation.

Authors:  Shahar Sukenik; Pin Ren; Martin Gruebele
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-12       Impact factor: 11.205

Review 7.  Protein-protein interactions in a crowded environment.

Authors:  Apratim Bhattacharya; Young C Kim; Jeetain Mittal
Journal:  Biophys Rev       Date:  2013-04-16

Review 8.  Effects of macromolecular crowding agents on protein folding in vitro and in silico.

Authors:  Alexander Christiansen; Qian Wang; Margaret S Cheung; Pernilla Wittung-Stafshede
Journal:  Biophys Rev       Date:  2013-02-19

9.  Protein shape modulates crowding effects.

Authors:  Alex J Guseman; Gerardo M Perez Goncalves; Shannon L Speer; Gregory B Young; Gary J Pielak
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-09       Impact factor: 11.205

Review 10.  Macromolecular Crowding In Vitro, In Vivo, and In Between.

Authors:  Germán Rivas; Allen P Minton
Journal:  Trends Biochem Sci       Date:  2016-09-23       Impact factor: 13.807

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