Literature DB >> 33587591

Quantitative Yeast-Yeast Two Hybrid for the Discovery and Binding Affinity Estimation of Protein-Protein Interactions.

Kaitlyn Bacon1, Abigail Blain1, John Bowen1, Matthew Burroughs1, Nikki McArthur1, Stefano Menegatti1,2, Balaji M Rao1,2.   

Abstract

Quantifying the binding affinity of protein-protein interactions is important for elucidating connections within biochemical signaling pathways, as well as characterization of binding proteins isolated from combinatorial libraries. We describe a quantitative yeast-yeast two-hybrid (qYY2H) system that not only enables the discovery of specific protein-protein interactions but also efficient, quantitative estimation of their binding affinities (KD). In qYY2H, the bait and prey proteins are expressed as yeast cell surface fusions using yeast surface display. We developed a semiempirical framework for estimating the KD of monovalent bait-prey interactions, using measurements of bait-prey yeast-yeast binding, which is mediated by multivalent interactions between yeast-displayed bait and prey. Using qYY2H, we identified interaction partners of SMAD3 and the tandem WW domains of YAP from a cDNA library and characterized their binding affinities. Finally, we showed that qYY2H could also quantitatively evaluate binding interactions mediated by post-translational modifications on the bait protein.

Entities:  

Keywords:  cDNA library; post-translational modifications; protein engineering; protein−protein interactions; yeast surface display; yeast two-hybrid

Year:  2021        PMID: 33587591     DOI: 10.1021/acssynbio.0c00472

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  6 in total

1.  Engineering Proteins Containing Noncanonical Amino Acids on the Yeast Surface.

Authors:  Rebecca L Hershman; Arlinda Rezhdo; Jessica T Stieglitz; James A Van Deventer
Journal:  Methods Mol Biol       Date:  2022

2.  NanoLuc luciferase as a quantitative yeast two-hybrid reporter.

Authors:  Veronica J Heintz; Ling Wang; Douglas J LaCount
Journal:  FEMS Yeast Res       Date:  2022-01-11       Impact factor: 2.923

3.  Modified Histone Peptides Linked to Magnetic Beads Reduce Binding Specificity.

Authors:  Jenna N Meanor; Albert J Keung; Balaji M Rao
Journal:  Int J Mol Sci       Date:  2022-02-01       Impact factor: 5.923

4.  SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.

Authors:  Xue Li; Peifu Han; Gan Wang; Wenqi Chen; Shuang Wang; Tao Song
Journal:  BMC Genomics       Date:  2022-06-27       Impact factor: 4.547

5.  Experimental and Analytical Framework for "Mix-and-Read" Assays Based on Split Luciferase.

Authors:  Nikki McArthur; Carlos Cruz-Teran; Apoorva Thatavarty; Gregory T Reeves; Balaji M Rao
Journal:  ACS Omega       Date:  2022-07-01

6.  Quantifying Biomolecular Interactions Using Slow Mixing Mode (SLOMO) Nanoflow ESI-MS.

Authors:  Duong T Bui; Zhixiong Li; Pavel I Kitov; Ling Han; Elena N Kitova; Marlène Fortier; Camille Fuselier; Philippine Granger Joly de Boissel; David Chatenet; Nicolas Doucet; Stephen M Tompkins; Yves St-Pierre; Lara K Mahal; John S Klassen
Journal:  ACS Cent Sci       Date:  2022-07-06       Impact factor: 18.728

  6 in total

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