A broad mercury resistant strain of <Emphasis Type="Italic">Pseudomonas putida</Emphasis> secretes pyoverdine under limited iron conditions and high mercury concentrations

The Pseudomonas putida FB1, known as a broad-spectrum mercury resistant strain, becomes yellow-green due to the secretion of pyoverdine (PVDs) under limited iron conditions and high mercury concentrations. Different modified Nelson’s media were obtained by adding mercury, iron, and the complexing agent nitrilotriacetic acid to demonstrate that the strain produces only the highest concentrations of PVDs due to the induction with 25 µM Hg²⁺. An amount of 250 mg PVDs was purified from the supernatant of 1 litre culture. The various forms of PVDs were characterized using different techniques such as fluorescence spectroscopy, high performance liquid chromatography coupled with high resolution mass spectrometry, and scanning electron microscope equipped with energy dispersive X-ray analyser. A set of “in vivo” experiments demonstrated that additions of Hg²⁺ to the cultures from 10 to 25 µM Hg²⁺ stimulate an over secretion of PVDs suggesting that the toxic cation strongly reduces the availability of apo-PVDs, because the complex mercuric-pyoverdine is very stable at neutral pH, and hinder the formation of PVDs-Fe(III).     

Meta-analysis Reveals Genome-Wide Significance at 15q13 for Nonsyndromic Clefting of Both the Lip and the Palate,and Functional Analyses Implicate GREM1 As a Plausible Causative Gene

Nonsyndromic orofacial clefts are common birth defects with multifactorial etiology. The most common type is cleft lip, which occurs with or without cleft palate (nsCLP and nsCLO, respectively). Although genetic components play an important role in nsCLP, the genetic factors that predispose to palate involvement are largely unknown. In this study, we carried out a meta-analysis on genetic and clinical data from three large cohorts and identified strong association between a region on chromosome 15q13 and nsCLP (P = 8.13×10⁻¹⁴ for rs1258763; relative risk (RR): 1.46, 95% confidence interval (CI): 1.32–1.61)) but not nsCLO (P = 0.27; RR: 1.09 (0.94–1.27)). The 5 kb region of strongest association maps downstream of Gremlin-1 (GREM1), which encodes a secreted antagonist of the BMP4 pathway. We show during mouse embryogenesis, Grem1 is expressed in the developing lip and soft palate but not in the hard palate. This is consistent with genotype-phenotype correlations between rs1258763 and a specific nsCLP subphenotype, since a more than two-fold increase in risk was observed in patients displaying clefts of both the lip and soft palate but who had an intact hard palate (RR: 3.76, CI: 1.47–9.61, P_diff<0.05). While we did not find lip or palate defects in Grem1-deficient mice, wild type embryonic palatal shelves developed divergent shapes when cultured in the presence of ectopic Grem1 protein (P = 0.0014). The present study identified a non-coding region at 15q13 as the second, genome-wide significant locus specific for nsCLP, after 13q31. Moreover, our data suggest that the closely located GREM1 gene contributes to a rare clinical nsCLP entity. This entity specifically involves abnormalities of the lip and soft palate, which develop at different time-points and in separate anatomical regions.     

Utilizing the Dog Genome in the Search for Novel Candidate Genes Involved in Glioma Development—Genome Wide Association Mapping followed by Targeted Massive Parallel Sequencing Identifies a Strongly Associated Locus

Gliomas are the most common form of malignant primary brain tumors in humans and second most common in dogs, occurring with similar frequencies in both species. Dogs are valuable spontaneous models of human complex diseases including cancers and may provide insight into disease susceptibility and oncogenesis. Several brachycephalic breeds such as Boxer, Bulldog and Boston Terrier have an elevated risk of developing glioma, but others, including Pug and Pekingese, are not at higher risk. To identify glioma-associated genetic susceptibility factors, an across-breed genome-wide association study (GWAS) was performed on 39 dog glioma cases and 141 controls from 25 dog breeds, identifying a genome-wide significant locus on canine chromosome (CFA) 26 (p = 2.8 x 10⁻⁸). Targeted re-sequencing of the 3.4 Mb candidate region was performed, followed by genotyping of the 56 SNVs that best fit the association pattern between the re-sequenced cases and controls. We identified three candidate genes that were highly associated with glioma susceptibility: CAMKK2, P2RX7 and DENR. CAMKK2 showed reduced expression in both canine and human brain tumors, and a non-synonymous variant in P2RX7, previously demonstrated to have a 50% decrease in receptor function, was also associated with disease. Thus, one or more of these genes appear to affect glioma susceptibility.     

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/).     

Expression and prognostic significance of the autoimmune regulator gene in breast cancer cells

The autoimmune regulator gene (AIRE) plays a fundamental role in tolerance by promoting the expression of tissue-specific antigens in medullary thymic epithelial cells (mTECs). Recently, AIRE expression was detected also in human keratinocytes and in tumors originating in stratified epithelia. Here, we tested whether AIRE is expressed in cancer cells. We analyzed AIRE expression in cancer cases from The Cancer Genome Atlas (TCGA) RNA-seq dataset and we found association with better outcome. AIRE protein expression was verified by immunohistochemistry in a cohort of 39 human breast cancer specimens and its prognostic relevance was confirmed in microarray-based gene expression data set NKI-295 and KM-Plotter. Both in the RNA-seq and gene expression datasets analyzed, AIRE expression was an independent strong prognostic factor for relapse-free survival (RFS), particularly in estrogen receptor-positive tumors. Enrichment of translation-related pathways was observed in AIRE-expressing tumors by Ingenuity Pathway Analysis and a significant increase of cells in G1 phase and activation of caspase cascades was induced by AIRE transfection in breast cancer luminal cell lines, suggesting that AIRE-induced over-translation of proteins lead to cycle arrest and apoptosis. These data are the first to identify AIRE expression in breast cancer and an association with prognosis.     

Plant hydraulics as a central hub integrating plant and ecosystem function: meeting report for ‘Emerging Frontiers in Plant Hydraulics’ (Washington,DC, May 2015)

Water plays a central role in plant biology and the efficiency of water transport throughout the plant affects both photosynthetic rate and growth, an influence that scales up deterministically to the productivity of terrestrial ecosystems. Moreover, hydraulic traits mediate the ways in which plants interact with their abiotic and biotic environment. At landscape to global scale, plant hydraulic traits are important in describing the function of ecological communities and ecosystems. Plant hydraulics is increasingly recognized as a central hub within a network by which plant biology is connected to palaeobiology, agronomy, climatology, forestry, community and ecosystem ecology and earth‐system science. Such grand challenges as anticipating and mitigating the impacts of climate change, and improving the security and sustainability of our food supply rely on our fundamental knowledge of how water behaves in the cells, tissues, organs, bodies and diverse communities of plants. A workshop, ‘Emerging Frontiers in Plant Hydraulics’ supported by the National Science Foundation, was held in Washington DC, 2015 to promote open discussion of new ideas, controversies regarding measurements and analyses, and especially, the potential for expansion of up‐scaled and down‐scaled inter‐disciplinary research, and the strengthening of connections between plant hydraulic research, allied fields and global modelling efforts.     

Type-1, but Not Type-5, Metabotropic Glutamate Receptors are Coupled to Polyphosphoinositide Hydrolysis in the Retina

mGlu1 and mGlu5 metabotropic glutamate receptors are expressed in the vertebrate retina, and are co-localized in some retinal neurons. It is believed that both receptors are coupled to polyphosphoinositide (PI) hydrolysis in the retina and their function may diverge in some cells because of a differential engagement of downstream signaling molecules. Here, we show that it is only the mGlu1 receptor that is coupled to PI hydrolysis in the retina. We used either bovine retinal slices or intact mouse retinas challenged with the mixed mGlu1/5 receptor agonist, DHPG. In both models, DHPG-stimulated PI hydrolysis was abrogated by the selective mGlu1 receptor antagonist, JNJ16259685, but was insensitive to the mGlu5 receptor antagonist, MPEP. In addition, the PI response to DHPG was unchanged in the retina of mGlu5^?/? mice but was abolished in the retina of crv4 mice lacking mGlu1 receptors. Stimulation of the mitogen-activated protein kinase pathway by DHPG in intact mouse retinas were also entirely mediated by mGlu1 receptors. Our data provide the first example of a tissue in which a biochemically detectable PI response is mediated by mGlu1, but not mGlu5, receptors. Hence, bovine retinal slices might be used as a model for the functional screening of mGlu1 receptor ligands. In addition, the mGlu1 receptor caters the potential as a drug target in the experimental treatment of degenerative disorders of the retina.

     

Impact of microbial growth inhibition and proteolytic activity on the stability of a new formulation containing a phytate-degrading enzyme obtained from mushroom

The development of stable enzymes is a key issue in both the food and feed industries. Consequently, the aim of the current study is to evaluate the impact of various additives (sodium chloride, sodium citrate, mannitol, methylparaben, polyethylene glycol 3350, ethylenediaminetetraacetic acid disodium salt, and a serine protease inhibitor) on the stability of a mushroom phytase produced by solid-state cultivation and recovery. Also observed was the effect of the additives on microbial growth inhibition by monitoring both the change in optical density over 30 days of storage and proteolytic activity. Initially, eight experimental formulations were prepared along with a control. After screening, a 3² factorial design was applied to define suitable concentrations of the selected additives. Among the eight formulations tested, the formulation containing NaCl, PEG 3350, and methylparaben retained all of the initial phytase activity after 50 days of storage, with no detected interference from protease activity. Sodium citrate, a metal chelation agent, presented the unusual effect of reducing protease activity in the formulations. Although all formulations presented better phytase stability when compared to the control, NaCl and PEG were both able to prolong the stability of the enzyme activity and also to inhibit microbial growth during storage, making them favorable for application as food and feed additives.