Literature DB >> 11377797

Protein--protein interaction maps: a lead towards cellular functions.

P Legrain1, J Wojcik, J M Gauthier.   

Abstract

The availability of complete genome sequences now permits the development of tools for functional biology on a proteomic scale. Several experimental approaches or in silico algorithms aim at clustering proteins into networks with biological significance. Among those, the yeast two-hybrid system is the technology of choice to detect protein-protein interactions. Recently, optimized versions were applied at a genomic scale, leading to databases on the web. However, as with any other 'genetic' assay, yeast two-hybrid assays are prone to false positives and false negatives. Here we discuss these various technologies, their general limitations and the potential advances they make possible, especially when in combination with other functional genomics or bioinformatics analyses.

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Year:  2001        PMID: 11377797     DOI: 10.1016/s0168-9525(01)02323-x

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  41 in total

Review 1.  Large-scale plant proteomics.

Authors:  Birgit Kersten; Lukas Bürkle; Eckehard J Kuhn; Patrick Giavalisco; Zoltan Konthur; Angelika Lueking; Gerald Walter; Holger Eickhoff; Ulrich Schneider
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  Interaction generality, a measurement to assess the reliability of a protein-protein interaction.

Authors:  Rintaro Saito; Harukazu Suzuki; Yoshihide Hayashizaki
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

Review 3.  Chlamydomonas reinhardtii at the crossroads of genomics.

Authors:  Arthur R Grossman; Elizabeth E Harris; Charles Hauser; Paul A Lefebvre; Diego Martinez; Dan Rokhsar; Jeff Shrager; Carolyn D Silflow; David Stern; Olivier Vallon; Zhaoduo Zhang
Journal:  Eukaryot Cell       Date:  2003-12

4.  The mammalian protein-protein interaction database and its viewing system that is linked to the main FANTOM2 viewer.

Authors:  Harukazu Suzuki; Rintaro Saito; Mutsumi Kanamori; Chikatoshi Kai; Christian Schönbach; Takeshi Nagashima; Junko Hosaka; Yoshihide Hayashizaki
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

5.  Selective inhibition of calcineurin-NFAT signaling by blocking protein-protein interaction with small organic molecules.

Authors:  Michael H A Roehrl; Sunghyun Kang; José Aramburu; Gerhard Wagner; Anjana Rao; Patrick G Hogan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-06       Impact factor: 11.205

6.  Transcriptional regulation: a genomic overview.

Authors:  José Luis Riechmann
Journal:  Arabidopsis Book       Date:  2002-04-04

7.  Cell-free cotranslation and selection using in vitro virus for high-throughput analysis of protein-protein interactions and complexes.

Authors:  Etsuko Miyamoto-Sato; Masamichi Ishizaka; Kenichi Horisawa; Seiji Tateyama; Hideaki Takashima; Shinichiro Fuse; Kaori Sue; Naoya Hirai; Kazuyo Masuoka; Hiroshi Yanagawa
Journal:  Genome Res       Date:  2005-05       Impact factor: 9.043

8.  MAPT/Tau accumulation represses autophagy flux by disrupting IST1-regulated ESCRT-III complex formation: a vicious cycle in Alzheimer neurodegeneration.

Authors:  Qiong Feng; Yu Luo; Xiang-Nan Zhang; Xi-Fei Yang; Xiao-Yue Hong; Dong-Shen Sun; Xia-Chun Li; Yu Hu; Xiao-Guang Li; Jun-Fei Zhang; Xiao Li; Ying Yang; Qun Wang; Gong-Ping Liu; Jian-Zhi Wang
Journal:  Autophagy       Date:  2019-06-28       Impact factor: 16.016

9.  Computational approaches for predicting protein-protein interactions: a survey.

Authors:  Jingkai Yu; Farshad Fotouhi
Journal:  J Med Syst       Date:  2006-02       Impact factor: 4.460

Review 10.  Integrating physical and genetic maps: from genomes to interaction networks.

Authors:  Andreas Beyer; Sourav Bandyopadhyay; Trey Ideker
Journal:  Nat Rev Genet       Date:  2007-09       Impact factor: 53.242

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