Literature DB >> 23442923

Quantitative measurement of protein relocalization in live cells.

Alan Bush1, Alejandro Colman-Lerner.   

Abstract

Microscope cytometry provides a powerful means to study signaling in live cells. Here we present a quantitative method to measure protein relocalization over time, which reports the absolute fraction of a tagged protein in each compartment. Using this method, we studied an essential step in the early propagation of the pheromone signal in Saccharomyces cerevisiae: recruitment to the membrane of the scaffold Ste5 by activated Gβγ dimers. We found that the dose response of Ste5 recruitment is graded (EC50 = 0.44 ± 0.08 nM, Hill coefficient = 0.8 ± 0.1). Then, we determined the effective dissociation constant (K(de)) between Ste5 and membrane sites during the first few minutes when the negative feedback from the MAPK Fus3 is first activated. K(de) changed during the first minutes from a high affinity of < 0.65 nM to a steady-state value of 17 ± 9 nM. During the same period, the total number of binding sites decreased slightly, from 1940 ± 150 to 1400 ± 200. This work shows how careful quantification of a protein relocalization dynamic can give insight into the regulation mechanisms of a biological system.
Copyright © 2013 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23442923      PMCID: PMC3566451          DOI: 10.1016/j.bpj.2012.12.030

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


  52 in total

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4.  Single-cell quantification of molecules and rates using open-source microscope-based cytometry.

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5.  Quantitative effect of scaffold abundance on signal propagation.

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  10 in total

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Review 7.  Spatial and temporal signal processing and decision making by MAPK pathways.

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8.  MAPK modulation of yeast pheromone signaling output and the role of phosphorylation sites in the scaffold protein Ste5.

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Review 10.  Using measures of single-cell physiology and physiological state to understand organismic aging.

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  10 in total

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