Hypoxic regulation of RIOK3 is a major mechanism for cancer cell invasion and metastasis.

Hypoxia is a common feature of locally advanced breast cancers that is associated with increased metastasis and poorer survival. Stabilisation of hypoxia-inducible factor-1α (HIF1α) in tumours causes transcriptional changes in numerous genes that function at distinct stages of the metastatic cascade. We demonstrate that expression of RIOK3 (RIght Open reading frame kinase 3) was increased during hypoxic exposure in an HIF1α-dependent manner. RIOK3 was localised to distinct cytoplasmic aggregates in normoxic cells and underwent redistribution to the leading edge of the cell in hypoxia with a corresponding change in the organisation of the actin cytoskeleton. Depletion of RIOK3 expression caused MDA-MB-231 to become elongated and this morphological change was due to a loss of protraction at the trailing edge of the cell. This phenotypic change resulted in reduced cell migration in two-dimensional cultures and inhibition of cell invasion through three-dimensional extracellular matrix. Proteomic analysis identified interactions of RIOK3 with actin and several actin-binding factors including tropomyosins (TPM3 and TPM4) and tropomodulin 3. Depletion of RIOK3 in cells resulted in fewer and less organised actin filaments. Analysis of these filaments showed reduced association of TPM3, particularly during hypoxia, suggesting that RIOK3 regulates actin filament specialisation. RIOK3 depletion reduced the dissemination of MDA-MB-231 cells in both a zebrafish model of systemic metastasis and a mouse model of pulmonary metastasis. These findings demonstrate that RIOK3 is necessary for maintaining actin cytoskeletal organisation required for migration and invasion, biological processes that are necessary for hypoxia-driven metastasis

Bioinformatics and molecular modeling in glycobiology

The field of glycobiology is concerned with the study of the structure, properties, and biological functions of the family of biomolecules called carbohydrates. Bioinformatics for glycobiology is a particularly challenging field, because carbohydrates exhibit a high structural diversity and their chains are often branched. Significant improvements in experimental analytical methods over recent years have led to a tremendous increase in the amount of carbohydrate structure data generated. Consequently, the availability of databases and tools to store, retrieve and analyze these data in an efficient way is of fundamental importance to progress in glycobiology. In this review, the various graphical representations and sequence formats of carbohydrates are introduced, and an overview of newly developed databases, the latest developments in sequence alignment and data mining, and tools to support experimental glycan analysis are presented. Finally, the field of structural glycoinformatics and molecular modeling of carbohydrates, glycoproteins, and protein–carbohydrate interaction are reviewed

Synthesis and solution-phase conformation of the RG-I fragment of the plant polysaccharide pectin reveals a modification-modulated assembly mechanism.

The syntheses of pure RG-I fragments of key plant matrix biomolecule pectin using a counterintuitive late-stage convergent cis-glycosylation has allowed detailed analyses of their solution-phase conformations, metal binding affinities, pK(a) values, self-assembly equilibria, and diffusional kinetics. These reveal a striking, right-handed 3(1)-helix that provides an effective and repeating lateral display of putative liganding carboxylates. Moreover, these heteropolymeric structures allow units as short as tetrasaccharides to self-assemble through carbohydrate-carbohydrate interactions that are induced by the presence of Ca(II), a known dynamic trigger in planta. These self-assembly properties can be switched simply by the addition or removal of a single methyl group in this repeating unit through methyl (de)esterification, another known dynamic trigger in planta. Together, the combined effect of Ca(II) and methylation revealed here suggests a concerted molecular basis for these two major dynamic modifications in planta

Fluorescence-based active site probes for profiling deubiquitinating enzymes.

Novel ubiquitin-based active site probes including a fluorescent tag have been developed and evaluated. A new, functionalizable electrophilic trap is utilized allowing for late stage diversification of the probe. Attachment of fluorescent dyes allowed direct detection of endogenous deubiquitinating enzyme (DUB) activities in cell extracts by in-gel fluorescence imaging

Small-molecule-based inhibition of histone demethylation in cells assessed by quantitative mass spectrometry.

Post-translational modifications on histones are an important mechanism for the regulation of gene expression and are involved in all aspects of cell growth and differentiation, as well as pathological processes including neurodegeneration, autoimmunity, and cancer. A major challenge within the chromatin field is to develop methods for the quantitative analysis of histone modifications. Here we report a mass spectrometry (MS) approach based on ultraperformance liquid chromatography high/low collision switching (UPLC-MS(E)) to monitor histone modifications in cells. This approach is exemplified by the analysis of trimethylated lysine-9 levels in histone H3, following a simple chemical derivatization procedure with d(6)-acetic anhydride. This method was used to study the inhibition of histone demethylases with pyridine-2,4-dicarboxylic acid (PDCA) derivatives in cells. Our results show that the PDCA-dimethyl ester inhibits JMJD2A catalyzed demethylation of lysine-9 on histone H3 in human HEK 293T cells. Demethylase inhibition, as observed by MS analyses, was supported by immunoblotting with modification-specific antibodies. The results demonstrate that PDCA derived small molecules are cell permeable demethylase inhibitors and reveal that quantitative MS is a useful tool for measuring post-translational histone modifications in cells

Comparative evaluation of label-free SINQ normalized spectral index quantitation in the central proteomics facilities pipeline.

Normalized spectral index quantification was recently presented as an accurate method of label-free quantitation, which improved spectral counting by incorporating the intensities of peptide MS/MS fragment ions into the calculation of protein abundance. We present SINQ, a tool implementing this method within the framework of existing analysis software, our freely available central proteomics facilities pipeline (CPFP). We demonstrate, using data sets of protein standards acquired on a variety of mass spectrometers, that SINQ can rapidly provide useful estimates of the absolute quantity of proteins present in a medium-complexity sample. In addition, relative quantitation of standard proteins spiked into a complex lysate background and run without pre-fractionation produces accurate results at amounts above 1 fmol on column. We compare quantitation performance to various precursor intensity- and identification-based methods, including the normalized spectral abundance factor (NSAF), exponentially modified protein abundance index (emPAI), MaxQuant, and Progenesis LC-MS. We anticipate that the SINQ tool will be a useful asset for core facilities and individual laboratories that wish to produce quantitative MS data, but lack the necessary manpower to routinely support more complicated software workflows. SINQ is freely available to obtain and use as part of the central proteomics facilities pipeline, which is released under an open-source license