A proteome-scale map of the human interactome network

TL;DR: Understanding of the mechanisms of silencing is enhanced, making it possible to describe in molecular terms a continuum of direct interactions from miRNA target recognition to mRNA deadenylation, decapping and 5′-to-3′ degradation.

TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.

TL;DR: Using high-throughput affinity-purification mass spectrometry, BioPlex is used to identify interacting partners for 2,594 human proteins in HEK293T cells and reveals associations among thousands of protein domains, suggesting a basis for examining structurally related proteins.

TL;DR: A network-based framework to identify the location of disease modules within the interactome and use the overlap between the modules to predict disease-disease relationships is presented and it is found that disease pairs with overlapping disease modules display significant molecular similarity, elevated coexpression of their associated genes, and similar symptoms and high comorbidity.

TL;DR: A new algorithm will be introduced that combines structural information with nonstructural clues and that is comparable in accuracy to high-throughput experiments, and significantly expands the range of application of protein structure in the annotation of protein function.

TL;DR: An evaluation of existing curation of protein interaction experiments reported in the literature found that curation can be error-prone and possibly of lower quality than commonly assumed.

TL;DR: It is suggested that DEC1, along with DEC2, plays a role in the finer regulation and robustness of the molecular clock.

TL;DR: It is shown that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations, to increase the specificity of cancer gene identification.