Literature DB >> 18381898

A new way to explore the world of extracellular protein interactions.

Christopher M Sanderson1.   

Abstract

Eukaryotic genomes encode large numbers of proteins that are either secreted or have exposed extracellular domains. It is highly likely that these proteins facilitate many important biological processes: however, as yet, most remain uncharacterized. Progress in this area of research has been impaired by the lack of a robust screening system that can be used to investigate interactions between large numbers of different extracellular proteins. In this issue, Bushell et al. introduce AVEXIS (avidity-based extracellular interaction screen), a high-throughput screening procedure, which can be used to identify even weak extracellular protein interactions with extremely high confidence. This assay represents an important development in the field of network biology. By combining data from the AVEXIS system with data produced by classical or variant yeast two-hybrid methods, it will be possible to assemble binary protein interaction networks that connect extracellular and intracellular processes. This information will dramatically increase our ability to understand a wide range of physiological processes and facilitate the development of better therapeutic strategies.

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Year:  2008        PMID: 18381898     DOI: 10.1101/gr.074583.107

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  6 in total

Review 1.  Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Katrin Deinhardt; Costel C Darie
Journal:  Cell Mol Life Sci       Date:  2013-04-12       Impact factor: 9.261

2.  The extracellular protein VlsE is destabilized inside cells.

Authors:  Irisbel Guzman; Hannah Gelman; Jonathan Tai; Martin Gruebele
Journal:  J Mol Biol       Date:  2013-09-04       Impact factor: 5.469

3.  Construction of a large extracellular protein interaction network and its resolution by spatiotemporal expression profiling.

Authors:  Stephen Martin; Christian Söllner; Varodom Charoensawan; Boris Adryan; Bernard Thisse; Christine Thisse; Sarah Teichmann; Gavin J Wright
Journal:  Mol Cell Proteomics       Date:  2010-08-27       Impact factor: 5.911

Review 4.  Fundamentals of protein interaction network mapping.

Authors:  Jamie Snider; Max Kotlyar; Punit Saraon; Zhong Yao; Igor Jurisica; Igor Stagljar
Journal:  Mol Syst Biol       Date:  2015-12-17       Impact factor: 11.429

5.  GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data.

Authors:  Ye Yuan; Ziv Bar-Joseph
Journal:  Genome Biol       Date:  2020-12-10       Impact factor: 13.583

6.  Detailed topology mapping reveals substantial exposure of the "cytoplasmic" C-terminal tail (CTT) sequences in HIV-1 Env proteins at the cell surface.

Authors:  Jonathan D Steckbeck; Chengqun Sun; Timothy J Sturgeon; Ronald C Montelaro
Journal:  PLoS One       Date:  2013-05-27       Impact factor: 3.240

  6 in total

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