A Nuclear Export Signal in Kap95p Is Required for Both Recycling the Import Factor and Interaction with the Nucleoporin GLFG Repeat Regions of Nup116p and Nup100p

During nuclear import, cytosolic transport factors move through the nuclear pore complex (NPC) to the nuclear compartment. Kap95p is required during import for docking the nuclear localization signal-receptor and ligand to the NPC. Recycling of this factor back to the cytoplasm is necessary for continued rounds of import; however, the mechanism for Kap95p recycling is unknown. We have determined that recycling of Kap95p requires a nuclear export signal (NES). A region containing the NES in Kap95p was sufficient to mediate active nuclear export in a microinjection assay. Moreover, the NES was necessary for function. Mutation of the NES in Kap95p resulted in a temperaturesensitive import mutant, and immunofluorescence microscopy experiments showed that the mutated Kap95p was not recycled but instead localized in the nucleus and at the nuclear envelope. Srp1p, the yeast nuclear localization signal-receptor, also accumulated in the nuclei of the arrested kap95 mutant cells. Wild-type and NES-mutated Kap95p both bound Gsp1p (the yeast Ran/TC4 homologue), Srp1p, and the FXFG repeat region of the nucleoporin Nup1p. In contrast, the NES mutation abolished Kap95p interaction with the GLFG repeat regions from the nucleoporins Nup116p and Nup100p. In vivo interaction was demonstrated by isolation of Kap95p from yeast nuclear lysates in either protein A–tagged Nup116p or protein A–tagged Nup100p complexes. The protein A–tagged Nup116p complex also specifically contained Gle2p. These results support a model in which a step in the recycling of Kap95p is mediated by interaction of an NES with GLFG regions. Analysis of genetic interactions suggests Nup116p has a primary role in Kap95p recycling, with Nup100p compensating in the absence of Nup116p. This finding highlights an important role for a subfamily of GLFG nucleoporins in nuclear export processes.     

Side-chain cleavage of cholesterol esters by human cytochrome P-450scc

In order to define the substrate binding site of human cytochrome P-450_scc in the vicinity of the 3β-hydroxyl group of cholesterol, we have tested the ability of the cytochrome to cleave the side chain of a range of cholesterol esters and cholesterol methyl ether. Using a Tween-20 detergent reconstituted system we found that cholesterol sulphate could undergo side-chain cleavage with the same turnover number (k_cat) as that for cholesterol, but with a higher K_m. Cholesterol methyl ether underwent side-chain cleavage to pregnenolone methyl ether with k_cat and K_m values 30% of those for cholesterol. Cholesterol fatty acid esters with acyl chain lengths of up to four carbons were able to undergo side-chain cleavage with K_m values similar to those for cholesterol, but k_cat values only 12–23% of those for cholesterol. Turnover numbers decreased as the acyl group length increased beyond four carbons, although some activity was still detected with cholesterol palmitate as substrate. Analysis of bovine cytochrome P-450_scc revealed that it could also cleave the side chain of acyl and sulphate esters of cholesterol. This study indicates that the substrate binding site of cytochrome P-450_scc in the vicinity of the 3β-hydroxyl group is larger than previously believed.     

Development of real-time PCR (TaqMan) assays for the detection and quantification of Botrytis cinerea in planta.

Real-time PCR assays based on TaqMan chemistry have been developed for the detection and quantification of Botrytis cinerea, suitable for a wide range of different host plant species. Assays were designed to the beta-tubulin gene, the intergenic spacer (IGS) region of the nuclear ribosomal DNA and also to a previously published, species-specific sequence characterised amplified region (SCAR) marker; the assays were compared to a published method based on SYBR Green I technology. The assays designed to the IGS region and SCAR marker proved to be highly specific for B. cinerea but assays designed to the beta-tubulin gene and the previously published assay designed to the cutinase-A gene both cross-react with B. fabae. The assay designed to the IGS region was the most sensitive and was able to reliably detect and quantify as little as 20 fg of B. cinerea DNA. The method incorporates the detection of a gene from the plant host to compensate for variations in extraction efficiency and size of sample tested. The assays designed were used to follow the progression of infection of B. cinerea in plant material inoculated with spores to the point of symptom induction. They should be ideally suited to investigating infection processes in-planta and could be used to investigate aspects of infection/plant pathogenesis, by B. cinerea and are particularly suited to the detection and quantification of the pathogen prior to the development of symptoms.     

Evaluation of artificial selection in Standard Poodles using whole-genome sequencing

Identifying regions of artificial selection within dog breeds may provide insights into genetic variation that underlies breed-specific traits or diseases—particularly if these traits or disease predispositions are fixed within a breed. In this study, we searched for runs of homozygosity (ROH) and calculated the d _i statistic (which is based upon F _ST) to identify regions of artificial selection in Standard Poodles using high-coverage, whole-genome sequencing data of 15 Standard Poodles and 49 dogs across seven other breeds. We identified consensus ROH regions ≥1 Mb in length and common to at least ten Standard Poodles covering 0.6 % of the genome, and d _i regions that most distinguish Standard Poodles from other breeds covering 3.7 % of the genome. Within these regions, we identified enriched gene pathways related to olfaction, digestion, and taste, as well as pathways related to adrenal hormone biosynthesis, T cell function, and protein ubiquitination that could contribute to the pathogenesis of some Poodle-prevalent autoimmune diseases. We also validated variants related to hair coat and skull morphology that have previously been identified as being under selective pressure in Poodles, and flagged additional polymorphisms in genes such as ITGA2B, CBX4, and TNXB that may represent strong candidates for other common Poodle disorders.     

Global Membrane Protein Interactome Analysis using In vivo Crosslinking and Mass Spectrometry-based Protein Correlation Profiling

We present a methodology using in vivo crosslinking combined with HPLC-MS for the global analysis of endogenous protein complexes by protein correlation profiling. Formaldehyde crosslinked protein complexes were extracted with high yield using denaturing buffers that maintained complex solubility during chromatographic separation. We show this efficiently detects both integral membrane and membrane-associated protein complexes,in addition to soluble complexes, allowing identification and analysis of complexes not accessible in native extracts. We compare the protein complexes detected by HPLC-MS protein correlation profiling in both native and formaldehyde crosslinked U2OS cell extracts. These proteome-wide data sets of both in vivo crosslinked and native protein complexes from U2OS cells are freely available via a searchable online database (www.peptracker.com/epd). Raw data are also available via ProteomeXchange (identifier PXD003754).Proteins rarely work as monomers to carry out all the biological processes needed for cells to function. An estimate of the total number of protein-protein interactions within the human proteome, based on currently available data sets, is ∼650,000 (1). This is likely an underestimate, given that many proteins form either transient, or weak interactions within intact cells that may not yet have been detected. This suggests that the majority of human proteins can participate in protein complex formation, at least under some conditions. This includes the many well-studied soluble protein complexes in the cytoplasm, exemplified by the proteasome, ribosomes and cytoskeletal network. It also includes many membrane-associated complexes, for example receptor tyrosine kinase signaling complexes, integrin networks and transmembrane transporters (2). To characterize the many roles of multi-protein complexes in biological regulatory mechanisms, it is important to have convenient methods for the rapid and efficient analysis of their composition and dynamics (3). Ideally, such methods should be applicable to system-wide studies and allow the analysis of endogenous proteins, rather than exclusively use tagged and/or over-expressed baits.The methods available for the proteome-wide analysis of protein interactions have developed swiftly over the last ten years. This field is dominated by affinity-enrichment based approaches, using either tagged constructs, or antibodies specific for endogenous proteins. Another approach is in vivo proximity labeling, based, for example, on the exogenous expression of a protein of interest, fused either to a promiscuous biotin-ligase (BioID) (4), or to a peroxidase enzyme that activates biotin-phenol (APEX) (5). While these data sets have proved very useful, there are some downsides. For example, a large expense in terms of both time and money to generate the thousands of individual “bait” proteins required for global interaction analyses. In addition, each of these affinity enrichments will be performed in only one type of buffer system, which is unlikely to be compatible with the maintenance of all protein-protein interactions. Another dimension to the analytical problem is that many proteins are expressed as different sized isoforms and/or in different post-translationally modified forms, resulting in formation of multiple, related, but functionally distinct complexes, with different combinations of interaction partners (6). Using affinity-enrichment/pull-down methods alone makes it difficult to resolve such mixtures of different forms of related protein complexes, complicating a detailed understanding of biological response mechanisms.An alternative strategy involves protein correlation profiling-MS, i.e. correlating similarities in the fractionation profiles of proteins detected by mass spectrometry, assuming that proteins in a common complex will cofractionate. This approach was previously applied to the analysis of subcellular organelle proteomes (7, 8), and subsequently extended to analyze soluble protein complexes. Thus, recent studies have shown that chromatography-based separation of soluble protein complexes, combined with fraction collection and high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS)¹, facilitates analysis of many hundreds of soluble complexes from a single experiment (6, 9–11). A limitation of all of these studies, however, is that the native extraction conditions used to preserve protein-protein interactions isolates predominantly stable, soluble complexes. For example, many proteins that are integral to membranes are not recovered (12). Similarly, soluble protein complexes that have weakly bound protein subunits can dissociate upon cell lysis and the inevitable dilution associated with extraction. Thus, the potential value of this approach for the system-wide analysis of protein complexes is limited without a covalent tether to hold protein-protein interactions intact during extraction and subsequent chromatographic separation (13).Covalent protein crosslinking has been used extensively to stabilize protein complexes, cultured cells and tissues for subsequent analysis, either by microscopy, nucleotide sequencing or mass spectrometry. The agents employed to crosslink proteins to each other include various chemical groups able to react with the side-chains of either amino acids, nucleotides, carbohydrates or lipids (14). These crosslinking agents vary in the efficiency with which they perfuse into unbroken cells/tissues and the speed of their reaction when in proximity to a suitable chemical group. One of the most widely used crosslinkers is formaldehyde, which can reversibly form a covalent crosslink to stabilize both protein-protein and protein-nucleotide interactions (15–21). One of the main benefits of using formaldehyde is that because of its small size, it readily permeates intact cells and tissues. Another benefit of using formaldehyde is the easy reversal of the crosslinks by heating and subsequent compatibility with mass spectrometry-based proteome analysis.Here, we describe a mass spectrometry-based proteomic approach for the efficient global analysis of protein complexes, including membrane proteins, using in vivo protein crosslinking combined with denaturing extraction. Using high-resolution, size-exclusion chromatography (SEC) to separate crosslinked complexes under denaturing conditions and MS analysis of fractionated proteins, we could identify membrane bound and membrane associated complexes not accessible in native extracts. We present a detailed comparison of the sets of protein complexes that can be identified using protein correlation profiling MS analysis in conjunction with both formaldehyde crosslinked and native extracts from U2OS cells. We provide access to the entire proteome-wide data sets of both in vivo crosslinked and native U2OScell protein complexes via a searchable online database (http://www.peptracker.com/epd/).     

Identification of candidate biomarkers of brain damage in a mouse model of closed head injury: a metabolomic pilot study

We aim to identify candidate brain biomarkers for, and to elucidate the pathophysiology of closed traumatic brain injury (TBI). Nuclear magnetic resonance (NMR) based metabolomic analysis was performed on the whole brain of mice undergoing TBI using a validated technique. There were 10 TBI mice compared to 8 sham operated controls. A total of 45 metabolites were evaluated. There was a statistically significant alteration in concentrations of 29 metabolites in TBI brains as compared to controls (FDR <0.05). Profound disturbances of several metabolic pathways (FDR <1E-07), including pathways associated with purine, alanine, aspartate and glutamine and glutathione metabolism were observed. Also, a significant elevation in glutamate (the main excitatory neurotransmitter) and depression of GABA (the main inhibitory neurotransmitter) was observed. Four metabolites, ADP, AMP, NAD+, and IMP were the most important indicators of TBI, relative to normal controls. All were elevated in the TBI mice. A combination of these 4 biomarkers produced a perfect predictor of TBI status, AUC (95 % CI) = 1.0 (1.0, 1.0). We also detected significant disturbances in mitochondrial function, energy metabolism, neurotransmitter metabolism and other important biochemical pathways in TBI mouse brains. Further studies to assess the utility of metabolomics to detect and classify the severity of and assess the prognosis of TBI is warranted.     

Synthesis and Reaction Chemistry of Nanosize Monosodium Titanate

This paper describes the synthesis and peroxide-modification of nanosize monosodium titanate (nMST), along with an ion-exchange reaction to load the material with Au(III) ions. The synthesis method was derived from a sol-gel process used to produce micron-sized monosodium titanate (MST), with several key modifications, including altering reagent concentrations, omitting a particle seed step, and introducing a non-ionic surfactant to facilitate control of particle formation and growth. The resultant nMST material exhibits spherical-shaped particle morphology with a monodisperse distribution of particle diameters in the range from 100 to 150 nm. The nMST material was found to have a Brunauer-Emmett-Teller (BET) surface area of 285 m²g^-1, which is more than an order of magnitude higher than the micron-sized MST. The isoelectric point of the nMST measured 3.34 pH units, which is a pH unit lower than that measured for the micron-size MST. The nMST material was found to serve as an effective ion exchanger under weakly acidic conditions for the preparation of an Au(III)-exchange nanotitanate. In addition, the formation of the corresponding peroxotitanate was demonstrated by reaction of the nMST with hydrogen peroxide.     

Fecal antibody levels as a noninvasive method for measuring immunity to gastrointestinal nematodes in ecological studies

Among‐individual variation in antibody‐associated immunity to gastrointestinal nematode parasites (GIN) is known be associated with life‐history traits and vital rates in wild vertebrate systems. To date, measurement of levels of antibodies against GIN antigens in natural populations has exclusively been based on invasive blood sampling techniques. Previous work in laboratory rodents and ruminant livestock suggests that antibody measures from feces may provide a viable noninvasive approach. We measured total and anti‐GIN antibodies of different isotypes (immunoglobulin (Ig) G, IgA and IgE) from paired samples of plasma and feces from free‐living Soay sheep of different ages and sexes. We tested the correlations among these measures as well as their associations with body mass and Strongyle nematode fecal egg counts (FEC). Significant positive correlations were present among plasma and fecal anti‐GIN antibody levels for IgG and IgA. Generally, correlations between total antibody levels in plasma and feces were weaker and not significant. No significant relationships were found between any antibody measures and body mass; however, fecal anti‐GIN antibody levels were significantly negatively correlated with FEC. Our data clearly demonstrate the feasibility of measuring anti‐GIN antibodies from fecal samples collected in natural populations. Although associations of fecal antibody levels with their plasma counterparts and FEC were relatively weak, the presence of significant correlations in the predicted direction in a relatively small and heterogeneous sample suggests fecal antibody measures could be a useful, noninvasive addition to current eco‐immunological studies.