Literature DB >> 20360771

Quantifying protein-protein interactions in high throughput using protein domain microarrays.

Alexis Kaushansky1, John E Allen, Andrew Gordus, Michael A Stiffler, Ethan S Karp, Bryan H Chang, Gavin MacBeath.   

Abstract

Protein microarrays provide an efficient way to identify and quantify protein-protein interactions in high throughput. One drawback of this technique is that proteins show a broad range of physicochemical properties and are often difficult to produce recombinantly. To circumvent these problems, we have focused on families of protein interaction domains. Here we provide protocols for constructing microarrays of protein interaction domains in individual wells of 96-well microtiter plates, and for quantifying domain-peptide interactions in high throughput using fluorescently labeled synthetic peptides. As specific examples, we will describe the construction of microarrays of virtually every human Src homology 2 (SH2) and phosphotyrosine binding (PTB) domain, as well as microarrays of mouse PDZ domains, all produced recombinantly in Escherichia coli. For domains that mediate high-affinity interactions, such as SH2 and PTB domains, equilibrium dissociation constants (K(D)s) for their peptide ligands can be measured directly on arrays by obtaining saturation binding curves. For weaker binding domains, such as PDZ domains, arrays are best used to identify candidate interactions, which are then retested and quantified by fluorescence polarization. Overall, protein domain microarrays provide the ability to rapidly identify and quantify protein-ligand interactions with minimal sample consumption. Because entire domain families can be interrogated simultaneously, they provide a powerful way to assess binding selectivity on a proteome-wide scale and provide an unbiased perspective on the connectivity of protein-protein interaction networks.

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Year:  2010        PMID: 20360771      PMCID: PMC3085283          DOI: 10.1038/nprot.2010.36

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  46 in total

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Journal:  Nucleic Acids Res       Date:  2001-08-01       Impact factor: 16.971

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Authors:  Christian von Mering; Roland Krause; Berend Snel; Michael Cornell; Stephen G Oliver; Stanley Fields; Peer Bork
Journal:  Nature       Date:  2002-05-08       Impact factor: 49.962

3.  Printing proteins as microarrays for high-throughput function determination.

Authors:  G MacBeath; S L Schreiber
Journal:  Science       Date:  2000-09-08       Impact factor: 47.728

4.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

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Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

5.  Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.

Authors:  Yuen Ho; Albrecht Gruhler; Adrian Heilbut; Gary D Bader; Lynda Moore; Sally-Lin Adams; Anna Millar; Paul Taylor; Keiryn Bennett; Kelly Boutilier; Lingyun Yang; Cheryl Wolting; Ian Donaldson; Søren Schandorff; Juanita Shewnarane; Mai Vo; Joanne Taggart; Marilyn Goudreault; Brenda Muskat; Cris Alfarano; Danielle Dewar; Zhen Lin; Katerina Michalickova; Andrew R Willems; Holly Sassi; Peter A Nielsen; Karina J Rasmussen; Jens R Andersen; Lene E Johansen; Lykke H Hansen; Hans Jespersen; Alexandre Podtelejnikov; Eva Nielsen; Janne Crawford; Vibeke Poulsen; Birgitte D Sørensen; Jesper Matthiesen; Ronald C Hendrickson; Frank Gleeson; Tony Pawson; Michael F Moran; Daniel Durocher; Matthias Mann; Christopher W V Hogue; Daniel Figeys; Mike Tyers
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

6.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

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Review 8.  PTB or not PTB -- that is the question.

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9.  A comprehensive two-hybrid analysis to explore the yeast protein interactome.

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Review 2.  Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.

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6.  Phosphorylated c-Mpl tyrosine 591 regulates thrombopoietin-induced signaling.

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Review 7.  New insights into RAS biology reinvigorate interest in mathematical modeling of RAS signaling.

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8.  Quantitative mapping of protein-peptide affinity landscapes using spectrally encoded beads.

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Journal:  Elife       Date:  2019-07-08       Impact factor: 8.140

9.  Phosphotyrosine signaling proteins that drive oncogenesis tend to be highly interconnected.

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10.  Cdc13 OB2 dimerization required for productive Stn1 binding and efficient telomere maintenance.

Authors:  Mark Mason; Jennifer J Wanat; Sandy Harper; David C Schultz; David W Speicher; F Brad Johnson; Emmanuel Skordalakes
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