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1.
Cell ; 159(5): 1212-1226, 2014 11 20.
Artigo em Inglês | MEDLINE | ID: mdl-25416956

RESUMO

Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand genotype-phenotype relationships. Here, we describe a systematic map of ?14,000 high-quality human binary protein-protein interactions. At equal quality, this map is ?30% larger than what is available from small-scale studies published in the literature in the last few decades. While currently available information is highly biased and only covers a relatively small portion of the proteome, our systematic map appears strikingly more homogeneous, revealing a "broader" human interactome network than currently appreciated. The map also uncovers significant interconnectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high-quality interactome models will help "connect the dots" of the genomic revolution.


Assuntos
Mapas de Interação de Proteínas , Proteoma/metabolismo , Animais , Bases de Dados de Proteínas , Estudo de Associação Genômica Ampla , Humanos , Camundongos , Neoplasias/metabolismo
2.
Science ; 333(6042): 596-601, 2011 Jul 29.
Artigo em Inglês | MEDLINE | ID: mdl-21798943

RESUMO

Plants generate effective responses to infection by recognizing both conserved and variable pathogen-encoded molecules. Pathogens deploy virulence effector proteins into host cells, where they interact physically with host proteins to modulate defense. We generated an interaction network of plant-pathogen effectors from two pathogens spanning the eukaryote-eubacteria divergence, three classes of Arabidopsis immune system proteins, and ~8000 other Arabidopsis proteins. We noted convergence of effectors onto highly interconnected host proteins and indirect, rather than direct, connections between effectors and plant immune receptors. We demonstrated plant immune system functions for 15 of 17 tested host proteins that interact with effectors from both pathogens. Thus, pathogens from different kingdoms deploy independently evolved virulence proteins that interact with a limited set of highly connected cellular hubs to facilitate their diverse life-cycle strategies.


Assuntos
Arabidopsis/imunologia , Arabidopsis/metabolismo , Interações Hospedeiro-Patógeno , Doenças das Plantas/imunologia , Imunidade Vegetal , Receptores Imunológicos/metabolismo , Fatores de Virulência/metabolismo , Arabidopsis/genética , Arabidopsis/microbiologia , Proteínas de Bactérias/metabolismo , Evolução Molecular , Genes de Plantas , Imunidade Inata , Oomicetos/patogenicidade , Mapeamento de Interação de Proteínas , Pseudomonas syringae/patogenicidade
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