Literature DB >> 20658977

High-throughput identification of transient extracellular protein interactions.

Gavin J Wright1, Stephen Martin, K Mark Bushell, Christian Söllner.   

Abstract

Protein interactions are highly diverse in their biochemical nature, varying in affinity and are often dependent on the surrounding biochemical environment. Given this heterogeneity, it seems unlikely that any one method, and particularly those capable of screening for many protein interactions in parallel, will be able to detect all functionally relevant interactions that occur within a living cell. One major class of interactions that are not detected by current popular high-throughput methods are those that occur in the extracellular environment, especially those made by membrane-embedded receptor proteins. In the present article, we discuss some of our recent research in the development of a scalable assay to identify this class of protein interaction and some of the findings from its application in the construction of extracellular protein interaction networks.

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Year:  2010        PMID: 20658977     DOI: 10.1042/BST0380919

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  11 in total

Review 1.  Specification of synaptic connectivity by cell surface interactions.

Authors:  Joris de Wit; Anirvan Ghosh
Journal:  Nat Rev Neurosci       Date:  2015-12-10       Impact factor: 34.870

2.  A Platform for Extracellular Interactome Discovery Identifies Novel Functional Binding Partners for the Immune Receptors B7-H3/CD276 and PVR/CD155.

Authors:  Bushra Husain; Sree R Ramani; Eugene Chiang; Isabelle Lehoux; Sairupa Paduchuri; Tia A Arena; Ashka Patel; Blair Wilson; Pamela Chan; Yvonne Franke; Athena W Wong; Jennie R Lill; Shannon J Turley; Lino C Gonzalez; Jane L Grogan; Nadia Martinez-Martin
Journal:  Mol Cell Proteomics       Date:  2019-07-15       Impact factor: 5.911

3.  An extracellular interactome of immunoglobulin and LRR proteins reveals receptor-ligand networks.

Authors:  Engin Özkan; Robert A Carrillo; Catharine L Eastman; Richard Weiszmann; Deepa Waghray; Karl G Johnson; Kai Zinn; Susan E Celniker; K Christopher Garcia
Journal:  Cell       Date:  2013-07-03       Impact factor: 41.582

4.  Avidity-based extracellular interaction screening (AVEXIS) for the scalable detection of low-affinity extracellular receptor-ligand interactions.

Authors:  Jason S Kerr; Gavin J Wright
Journal:  J Vis Exp       Date:  2012-03-05       Impact factor: 1.355

5.  Deconstruction of the beaten Path-Sidestep interaction network provides insights into neuromuscular system development.

Authors:  Hanqing Li; Ash Watson; Agnieszka Olechwier; Michael Anaya; Siamak K Sorooshyari; Dermott P Harnett; Hyung-Kook Peter Lee; Jost Vielmetter; Mario A Fares; K Christopher Garcia; Engin Özkan; Juan-Pablo Labrador; Kai Zinn
Journal:  Elife       Date:  2017-08-15       Impact factor: 8.140

Review 6.  Technologies for Proteome-Wide Discovery of Extracellular Host-Pathogen Interactions.

Authors:  Nadia Martinez-Martin
Journal:  J Immunol Res       Date:  2017-02-22       Impact factor: 4.818

7.  Quantitative Analysis of Interaction Between CADM1 and Its Binding Cell-Surface Proteins Using Surface Plasmon Resonance Imaging.

Authors:  Takeshi Ito; Yutaka Kasai; Yuki Kumagai; Daisuke Suzuki; Misaki Ochiai-Noguchi; Daisuke Irikura; Shiro Miyake; Yoshinori Murakami
Journal:  Front Cell Dev Biol       Date:  2018-08-07

8.  Genome-scale identification of cellular pathways required for cell surface recognition.

Authors:  Sumana Sharma; S Josefin Bartholdson; Amalie C M Couch; Kosuke Yusa; Gavin J Wright
Journal:  Genome Res       Date:  2018-06-18       Impact factor: 9.043

Review 9.  Identifying novel Plasmodium falciparum erythrocyte invasion receptors using systematic extracellular protein interaction screens.

Authors:  S Josefin Bartholdson; Cécile Crosnier; Leyla Y Bustamante; Julian C Rayner; Gavin J Wright
Journal:  Cell Microbiol       Date:  2013-05-13       Impact factor: 3.715

10.  Position Matters: Network Centrality Considerably Impacts Rates of Protein Evolution in the Human Protein-Protein Interaction Network.

Authors:  David Alvarez-Ponce; Felix Feyertag; Sandip Chakraborty
Journal:  Genome Biol Evol       Date:  2017-06-01       Impact factor: 3.416

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