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      Quantifying domain-ligand affinities and specificities by high-throughput holdup assay

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          Abstract

          Many protein interactions are mediated by small linear motifs interacting specifically with defined families of globular domains. Quantifying the specificity of a motif requires measuring and comparing its binding affinities to all its putative target domains. To this aim, we developed the high-throughput holdup assay, a chromatographic approach that can measure up to a thousand domain-motif equilibrium binding affinities per day. Extracts of overexpressed domains are incubated with peptide-coated resins and subjected to filtration. Binding affinities are deduced from microfluidic capillary electrophoresis of flow-throughs. After benchmarking the approach on 210 PDZ-peptide pairs with known affinities, we determined the affinities of two viral PDZ-binding motifs derived from Human Papillomavirus E6 oncoproteins for 209 PDZ domains covering 79% of the human PDZome. We obtained exquisite sequence-dependent binding profiles, describing quantitatively the PDZome recognition specificity of each motif. This approach, applicable to many categories of domain-ligand interactions, has a wide potential for quantifying the specificities of interactomes.

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          Most cited references35

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          Understanding eukaryotic linear motifs and their role in cell signaling and regulation.

          It is now clear that a detailed picture of cell regulation requires a comprehensive understanding of the abundant short protein motifs through which signaling is channeled. The current body of knowledge has slowly accumulated through piecemeal experimental investigation of individual motifs in signaling. Computational methods contributed little to this process. A new generation of bioinformatics tools will aid the future investigation of motifs in regulatory proteins, and the disordered polypeptide regions in which they frequently reside. Allied to high throughput methods such as phosphoproteomics, signaling networks are becoming amenable to experimental deconstruction. In this review, we summarise the current state of linear motif biology, which uses low affinity interactions to create cooperative, combinatorial and highly dynamic regulatory protein complexes. The discrete deterministic properties implicit to these assemblies suggest that models for cell regulatory networks in systems biology should neither be overly dependent on stochastic nor on smooth deterministic approximations.
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            Crosstalk between small GTPases and polarity proteins in cell polarization.

            Cell polarization is crucial for the development of multicellular organisms, and aberrant cell polarization contributes to various diseases, including cancer. How cell polarity is established and how it is maintained remain fascinating questions. Conserved proteins of the partitioning defective (PAR), Scribble and Crumbs complexes guide the establishment of cell polarity in various organisms. Moreover, GTPases that regulate actin cytoskeletal dynamics have been implicated in cell polarization. Recent findings provide insights into polarization mechanisms and show intriguing crosstalk between small GTPases and members of polarity complexes in regulating cell polarization in different cellular contexts and cell types.
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              PDZ domain binding selectivity is optimized across the mouse proteome.

              PDZ domains have long been thought to cluster into discrete functional classes defined by their peptide-binding preferences. We used protein microarrays and quantitative fluorescence polarization to characterize the binding selectivity of 157 mouse PDZ domains with respect to 217 genome-encoded peptides. We then trained a multidomain selectivity model to predict PDZ domain-peptide interactions across the mouse proteome with an accuracy that exceeds many large-scale, experimental investigations of protein-protein interactions. Contrary to the current paradigm, PDZ domains do not fall into discrete classes; instead, they are evenly distributed throughout selectivity space, which suggests that they have been optimized across the proteome to minimize cross-reactivity. We predict that focusing on families of interaction domains, which facilitates the integration of experimentation and modeling, will play an increasingly important role in future investigations of protein function.
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                Author and article information

                Journal
                101215604
                32338
                Nat Methods
                Nat. Methods
                Nature methods
                1548-7091
                1548-7105
                3 July 2015
                08 June 2015
                August 2015
                01 February 2016
                : 12
                : 8
                : 787-793
                Affiliations
                [1 ]Unité Mixte de Recherche 7257 Centre National de la Recherche Scientifique - Aix-Marseille Université, Architecture et Fonction des Macromolécules Biologiques (AFMB), Marseille, FRANCE
                [2 ]Unité Mixte de Recherche 7242 Centre National de la Recherche Scientifique - Université de Strasbourg, École Supérieure de Biotechnologie de Strasbourg, Illkirch, FRANCE
                [3 ]Unité 1068 Institut national de la santé et de la recherche médicale, Unité Mixte de Recherche 7258 Centre National de la Recherche Scientifique - Aix-Marseille Université, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, Marseille, FRANCE
                [4 ]Département de Biologie Structurale et Chimie, Unité de Résonance Magnétique Nucléaire des Biomolécules, Institut Pasteur, Unité Mixte de Recherche 3528 Centre National de la Recherche Scientifique, Paris, FRANCE
                [5 ]Département de Virologie, Unité de Génétique Moléculaire des Virus à ARN, Institut Pasteur, Unité Mixte de Recherche 3569 Centre National de la Recherche Scientifique, Université Paris Diderot, Paris, FRANCE
                Author notes
                Correspondence should be addressed to G.T. ( trave@ 123456unistra.fr )
                [6]

                Current addresses: Center for Cancer Systems Biology (CCSB), Harvard Medical School, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachussets, USA (K.L.); Unité 1104 Institut national de la santé et de la recherche médicale - Unité Mixte de Recherche 7280 Centre National de la Recherche Scientifique - Aix-Marseille Université, Centre d’Immunologie de Marseille-Lumigny (CIML), Marseille, France (J. Polanowska, J.R.).

                [7]

                Equal contributors to the work.

                Article
                NIHMS692624
                10.1038/nmeth.3438
                4521981
                26053890
                82f82f61-8917-4c86-ba9d-37bc3fa9c1fc

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