Literature DB >> 16575597

Protein interaction networks in plants.

Joachim F Uhrig1.   

Abstract

Protein-protein interactions are fundamental to virtually every aspect of cellular functions. With the development of high-throughput technologies of both the yeast two-hybrid system and tandem mass spectrometry, genome-wide protein-linkage mapping has become a major objective in post-genomic research. While at least partial "interactome" networks of several model organisms are already available, in the plant field, progress in this respect is slow. However, even with comprehensive protein interaction data still missing, substantial recent advance in the graph-theoretical functional interpretation of complex network architectures might pave the way for novel approaches in plant research. This article reviews current progress and discussions in network biology. Emphasis is put on the question of what can be learned about protein functions and cellular processes by studying the topology of complex protein interaction networks and the evolutionary mechanisms underlying their development. Particularly the intermediate and local levels of network organization--the modules, motifs and cliques--are increasingly recognized as the operational units of biological functions. As demonstrated by some recent results from systematic analyses of plant protein families, protein interaction networks promise to be a valuable tool for a molecular understanding of functional specificities and for identifying novel regulatory components and pathways.

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Year:  2006        PMID: 16575597     DOI: 10.1007/s00425-006-0260-x

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  114 in total

1.  Ancestry and diversity of BEL1-like homeobox genes revealed by gymnosperm ( Gnetum gnemon) homologs.

Authors:  Annette Becker; Melanie Bey; Thomas R Bürglin; Heinz Saedler; Günter Theissen
Journal:  Dev Genes Evol       Date:  2002-07-31       Impact factor: 0.900

Review 2.  Role of MADS box proteins and their cofactors in combinatorial control of gene expression and cell development.

Authors:  Francine Messenguy; Evelyne Dubois
Journal:  Gene       Date:  2003-10-16       Impact factor: 3.688

3.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

4.  Adaptive evolution in the Arabidopsis MADS-box gene family inferred from its complete resolved phylogeny.

Authors:  León Patricio Martinez-Castilla; Elena R Alvarez-Buylla
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-03       Impact factor: 11.205

Review 5.  Analyzing cellular biochemistry in terms of molecular networks.

Authors:  Yu Xia; Haiyuan Yu; Ronald Jansen; Michael Seringhaus; Sarah Baxter; Dov Greenbaum; Hongyu Zhao; Mark Gerstein
Journal:  Annu Rev Biochem       Date:  2004       Impact factor: 23.643

Review 6.  The evolution of molecular genetic pathways and networks.

Authors:  Jennifer M Cork; Michael D Purugganan
Journal:  Bioessays       Date:  2004-05       Impact factor: 4.345

Review 7.  MIKC-type MADS-domain proteins: structural modularity, protein interactions and network evolution in land plants.

Authors:  Kerstin Kaufmann; Rainer Melzer; Günter Theissen
Journal:  Gene       Date:  2005-02-22       Impact factor: 3.688

8.  Some protein interaction data do not exhibit power law statistics.

Authors:  Reiko Tanaka; Tau-Mu Yi; John Doyle
Journal:  FEBS Lett       Date:  2005-09-26       Impact factor: 4.124

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

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

10.  Comprehensive interaction map of the Arabidopsis MADS Box transcription factors.

Authors:  Stefan de Folter; Richard G H Immink; Martin Kieffer; Lucie Parenicová; Stefan R Henz; Detlef Weigel; Marco Busscher; Maarten Kooiker; Lucia Colombo; Martin M Kater; Brendan Davies; Gerco C Angenent
Journal:  Plant Cell       Date:  2005-04-01       Impact factor: 11.277

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  10 in total

1.  Mapping plant interactomes using literature curated and predicted protein-protein interaction data sets.

Authors:  KiYoung Lee; David Thorneycroft; Premanand Achuthan; Henning Hermjakob; Trey Ideker
Journal:  Plant Cell       Date:  2010-04-06       Impact factor: 11.277

2.  A predicted interactome for Arabidopsis.

Authors:  Jane Geisler-Lee; Nicholas O'Toole; Ron Ammar; Nicholas J Provart; A Harvey Millar; Matt Geisler
Journal:  Plant Physiol       Date:  2007-08-03       Impact factor: 8.340

3.  A rapid, efficient, and low-cost BiFC protocol and its application in studying in vivo interaction of seed-specific transcription factors, RISBZ and RPBF.

Authors:  Tanika Thakur; Nishu Gandass; Kajal Mittal; Pallavi Jamwal; Mehanathan Muthamilarasan; Prafull Salvi
Journal:  Funct Integr Genomics       Date:  2021-08-26       Impact factor: 3.410

4.  Genome-Wide Identification and Characterization of the Calmodulin-Binding Transcription Activator (CAMTA) Gene Family in Plants and the Expression Pattern Analysis of CAMTA3/SR1 in Tomato under Abiotic Stress.

Authors:  Hua Fang; Peng Wang; Fujin Ye; Jing Li; Meiling Zhang; Chunlei Wang; Weibiao Liao
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

5.  Glycolytic enzymes associate dynamically with mitochondria in response to respiratory demand and support substrate channeling.

Authors:  James W A Graham; Thomas C R Williams; Megan Morgan; Alisdair R Fernie; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Cell       Date:  2007-11-02       Impact factor: 11.277

6.  Plant protein-protein interaction network and interactome.

Authors:  Yixiang Zhang; Peng Gao; Joshua S Yuan
Journal:  Curr Genomics       Date:  2010-03       Impact factor: 2.236

7.  Comparative study of the protein profiles of Sunki mandarin and Rangpur lime plants in response to water deficit.

Authors:  Tahise M Oliveira; Fernanda R da Silva; Diego Bonatto; Diana M Neves; Raphael Morillon; Bianca E Maserti; Mauricio A Coelho Filho; Marcio G C Costa; Carlos P Pirovani; Abelmon S Gesteira
Journal:  BMC Plant Biol       Date:  2015-03-03       Impact factor: 4.215

8.  Proteomic analysis reveals the diversity and complexity of membrane proteins in chickpea (Cicer arietinum L.).

Authors:  Doel Ray; Pratigya Subba; Dinesh Kumar Jaiswal; Poonam Mishra; Saurabh Gayali; Asis Datta; Subhra Chakraborty; Niranjan Chakraborty
Journal:  Proteome Sci       Date:  2012-10-02       Impact factor: 2.480

9.  Membrane-associated proteomics of chickpea identifies Sad1/UNC-84 protein (CaSUN1), a novel component of dehydration signaling.

Authors:  Dinesh Kumar Jaiswal; Poonam Mishra; Pratigya Subba; Divya Rathi; Subhra Chakraborty; Niranjan Chakraborty
Journal:  Sci Rep       Date:  2014-02-28       Impact factor: 4.379

10.  The R3-MYB gene GhCPC negatively regulates cotton fiber elongation.

Authors:  Bingliang Liu; Yichao Zhu; Tianzhen Zhang
Journal:  PLoS One       Date:  2015-02-03       Impact factor: 3.240

  10 in total

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