Literature DB >> 30739083

Single-cell quantification of the concentrations and dissociation constants of endogenous proteins.

Akira T Komatsubara1,2, Yuhei Goto2,3, Yohei Kondo2,3,4,5, Michiyuki Matsuda1,6, Kazuhiro Aoki7,3,4,5.   

Abstract

Kinetic simulation is a useful approach for elucidating complex cell-signaling systems. The numerical simulations required for kinetic modeling in live cells critically require parameters such as protein concentrations and dissociation constants (Kd ). However, only a limited number of parameters have been measured experimentally in living cells. Here we describe an approach for quantifying the concentration and Kd of endogenous proteins at the single-cell level with CRISPR/Cas9-mediated knock-in and fluorescence cross-correlation spectroscopy. First, the mEGFP gene was knocked in at the end of the mitogen-activated protein kinase 1 (MAPK1) gene, encoding extracellular signal-regulated kinase 2 (ERK2), through homology-directed repair or microhomology-mediated end joining. Next, the HaloTag gene was knocked in at the end of the ribosomal S6 kinase 2 (RSK2) gene. We then used fluorescence correlation spectroscopy to measure the protein concentrations of endogenous ERK2-mEGFP and RSK2-HaloTag fusion constructs in living cells, revealing substantial heterogeneities. Moreover, fluorescence cross-correlation spectroscopy analyses revealed temporal changes in the apparent Kd values of the binding between ERK2-mEGFP and RSK2-HaloTag in response to epidermal growth factor stimulation. Our approach presented here provides a robust and efficient method for quantifying endogenous protein concentrations and dissociation constants in living cells.
© 2019 Komatsubara et al.

Entities:  

Keywords:  RSK; dissociation constant; extracellular signal-regulated kinase (ERK); fluorescence correlation spectroscopy (FCS); fluorescence cross-correlation spectroscopy (FCCS); live-cell analysis; nuclear translocation; protein–protein interaction; single-cell analysis

Mesh:

Substances:

Year:  2019        PMID: 30739083      PMCID: PMC6463716          DOI: 10.1074/jbc.RA119.007685

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  43 in total

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