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Liquid-liquid phase separation has been shown to underlie the formation and disassembly of membraneless organelles in cells, but the cellular mechanisms that control this phenomenon are poorly understood. A prominent example of regulated and reversible segregation of liquid phases may occur during mitosis, when membraneless organelles disappear upon nuclear-envelope breakdown and reappear as mitosis is completed. Here we show that the dual-specificity kinase DYRK3 acts as a central dissolvase of several types of membraneless organelle during mitosis. DYRK3 kinase activity is essential to prevent the unmixing of the mitotic cytoplasm into aberrant liquid-like hybrid organelles and the over-nucleation of spindle bodies. Our work supports a mechanism in which the dilution of phase-separating proteins during nuclear-envelope breakdown and the DYRK3-dependent degree of their solubility combine to allow cells to dissolve and condense several membraneless organelles during mitosis.

Animal microRNAs (miRNAs) regulate gene expression by inhibiting translation and/or by inducing degradation of target messenger RNAs. It is unknown how much translational control is exerted by miRNAs on a genome-wide scale. We used a new proteomic approach to measure changes in synthesis of several thousand proteins in response to miRNA transfection or endogenous miRNA knockdown. In parallel, we quantified mRNA levels using microarrays. Here we show that a single miRNA can repress the production of hundreds of proteins, but that this repression is typically relatively mild. A number of known features of the miRNA-binding site such as the seed sequence also govern repression of human protein synthesis, and we report additional target sequence characteristics. We demonstrate that, in addition to downregulating mRNA levels, miRNAs also directly repress translation of hundreds of genes. Finally, our data suggest that a miRNA can, by direct or indirect effects, tune protein synthesis from thousands of genes.

New antibiotics are urgently needed to control infectious diseases. Metabolic enzymes could represent attractive targets for such antibiotics, but in vivo target validation is largely lacking. Here we have obtained in vivo information about over 700 Salmonella enterica enzymes from network analysis of mutant phenotypes, genome comparisons and Salmonella proteomes from infected mice. Over 400 of these enzymes are non-essential for Salmonella virulence, reflecting extensive metabolic redundancies and access to surprisingly diverse host nutrients. The essential enzymes identified were almost exclusively associated with a small subgroup of pathways, enabling us to perform a nearly exhaustive screen. Sixty-four enzymes identified as essential in Salmonella are conserved in other important human pathogens, but almost all belong to metabolic pathways that are inhibited by current antibiotics or that have previously been considered for antimicrobial development. Our comprehensive in vivo analysis thus suggests a shortage of new metabolic targets for broad-spectrum antibiotics, and draws attention to some previously known but unexploited targets.

Nature 473, 337–342 (2011); doi:10.1038/nature10098 Mark Biggin of the Lawrence Berkeley National Laboratory contacted us, noting that our mass-spectrometry-based protein copy number estimates are lower than several literature-based values. We therefore re-analysed the scripts used for data processing, and found a scaling error that occurred during the conversion of normalized protein intensity values into absolute copy number estimates.