44 research outputs found

    Proceedings of the EuBIC Winter School 2019

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    The 2019 European Bioinformatics Community (EuBIC) Winter School was held from January 15th to January 18th 2019 in Zakopane, Poland. This year’s meeting was the third of its kind and gathered international researchers in the field of (computational) proteomics to discuss (mainly) challenges in proteomics quantification and data independent acquisition (DIA). Here, we present an overview of the scientific program of the 2019 EuBIC Winter School. Furthermore, we can already give a small outlook to the upcoming EuBIC 2020 Developer’s Meeting

    Monitoring dynamics in bacterial competition by Imaging Mass Spectrometry

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    Microbial competition is a mechanism that occurs when two or more microbial species compete for ecological niches to support their survival and growth (Hibbing et al. 2010). Different factors can contribute to the outcome of microbial competition, such as molecules exchanged between the competing organisms for the regulation of cell densities and the initial spatial configuration of the microbe–microbe interaction. Specifically, production of compounds that kill or limit the growth of competing strains or species can promote niche monopolization (Gonzalez et al. 2011). The released compounds include secondary metabolite antibiotics, bacterial peptides or low-molecular-mass organic compounds. In that sense, it is very important to develop tools that could capture metabolic interactions between two or more bacterial populations. Imaging Mass Spectrometry (IMS) enables the visualization of both spatial and temporal production of a huge number of metabolites from a single bacterial species and can observe the effects of multiple microbial signals in an interspecies interaction without using tags or labels (Yang et al. 2009). This technique has the potential to be used for identification of novel metabolites and peptides that were previously undetected by other analytical methods. In this work, a combination of IMS and LC-MS/MS was used to study the competition between Listeria monocytogenes (LM) and Lactococcus lactis (LAC) to investigate the metabolic profile of each bacterium in the interacting microbial colonies. IMS analysis revealed several interesting compounds during interaction of microbial colonies. At least six compounds are uniquely expressed during the interaction between LM and LAC. These results could be useful to setup new molecular strategies in the control of bacterial species for a better food safety

    Food Safety: Secretome of Lactococcus lactis and Listeria monocytogenes in competition.

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    Listeria monocytogenes (LM) is a foodborne pathogen responsible of listeriosis. In the spreading of this pathology, milk and dairy products are key reservoir for this pathogen1. Food processing represents one of the major steps that could be linked to LM growth. Inhibition of LM growth through competition of Lactococcus lactis (LAC) could represent a solution to this problem. Exoproteome of LM and two different strains of Lactic Acid Bacteria in co-culture have been studied in order to highlight mechanisms of bacterial competition useful to improve food safety. Two different strains of LAC and one strain of LM were cultivated in appropriate medium cultures (BHI), also in competition. Filtrated cultures (SECRETOME) were lyophilized and resuspended for proteomics analysis. Shotgun analysis on each secretome was performed on nano UPLC-MS system. Obtained data reveal, during competition, the higher production by LM of moonlighting protein Enolase and Glucose 6 Phosphate isomerase, of Septation ring formation regulator EzrA, involved into cell replication and the lower secretion of Endopeptidase P60. In parallel, L. lactis produced higher amounts of Secreted 45 kDa protein and switched from lantibiotic Nisin A production to Nisin Z production. In competition with LM, LAC strain investigated produce higher amounts of Secreted 45 kDa protein with peptidoglycan lytic activity and the selective secretion of Nisin Z probably to improve lantibiotic solubility in less acidic environment. Next step will be validation of obtained results in dairy products. These results are of interesting to design new strategies of fighting LM as contaminant in food from animal origin.Work supported by Ministry of Health-CCM “Milano EXPO 2015 Project: Garantire la sicurezza alimentare- Valorizzare le produzioni

    Phenotypic and genomic identification of Staphylococcus epidermidis GOI1153754-03-14 isolated from an infected orthopedic prosthesis

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    Introduction: Staphylococcus epidermidis GOI1153754-03-14 is able to colonize orthopedic implants and to cause septic non-unions, as validated in a recent in vivo study (Lovati, 2016). To pore over the mechanisms leading to the biofilm formation on metallic implants, in the present study, we carried out the phenotypic and genotypic characterization of the clinical isolate S. epidermidis GOI1153754-03-14.Materials and Methods: The antimicrobial susceptibility and minimum inhibitory concentration (MIC) of the strain were evaluated through the Vitek2 System (Biomerieux), as well as its ability to form biofilm in vitro through a spectrophotometric assay (Stepanovich, 2000).The genomic DNA was extracted by Bacterial Genomic DNA Isolation Kit (Norgen Biotek Corp.). Libraries were prepared with the ThruPLEX DNA-seq (Rubicon Genomics) and then sequenced on the Illumina MiSeq platform through the MiSeq Reagent Kit v3 (600-cycles) to produce 300 bp paired-end reads (Illumina Inc.). Reads were quality-trimmed and gene annotated thanks to the RAST software (Aziz, 2008).Results: The antimicrobial susceptibility along with the MIC values are reported in Table 1. The outputs resulted in 51 contigs (Average = 50,720.6 Mb) with 396X fold average coverage. The total genome is 2,586,753 bp long with a GC content of 31.84% and an N50 value of 7 bp. The whole genome is composed by 2,467 protein-encoding genes and 64 RNAs (55 tRNAs and 9 rRNAs). The entire genome sequence has been deposited in the European Nucleotide Archive (ENA) under the accession no. FWCG01000000 (Bottagisio, 2017).Discussion: The genotypic and phenotypic characterization of the S. epidermidis GOI1153754-03-14 will enable a better comprehension of the mechanisms involved in the biofilm formation on orthopedic implants paving the way for innovative preventative and therapeutic strategies. Moreover, the sequence of this clinical strain is mandatory to develop dedicated proteomics analysis in order to highlight functional mechanism of biofilm formation

    Unraveling the adipose tissue proteome of transition cows through severe negative energy balance

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    Fat mobilization in high-yielding dairy cows during early lactation occurs to overcome negative energy balance (NEB), caused by insufficient feed intake and the concomitant increased nutritional requirements. For this reason, adipose tissue represents an essential organ for healthy and performant lactation. However, only a few data are known about adipose tissue proteome and its metabolic status during peripartum. The aim of this study was to analyze the differential proteomics profiles of subcutaneous adipose tissue belonging to cows with different NEB scores (low NEB and severe NEB). Both groups were analyzed at three different time points (one month before calving, one and sixteen weeks after calving) that were related to different levels and rates of adipose tissue mobilization. The dataset highlighted the differential expression of the same four key proteins (annexin A2, actin-related protein 10, glyceraldehyde-3-phosphate dehydrogenase, and fatty acid-binding protein) involved in lipid metabolism during all time points and of other 22 proteins typical of the other comparisons among remaining time points. The obtained dataset suggested that the individual variability in adipose tissue metabolism/mobilization/energy availability could be linked to the different outcomes in levels of energy balance and related physical complications among dairy cows during peripartum

    NMDARs Mediate the Role of Monoamine Oxidase A in Pathological Aggression

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    This is the publisher's version, also available electronically from http://www.jneurosci.org/content/32/25/8574Converging evidence shows that monoamine oxidase A (MAO A), the key enzyme catalyzing serotonin (5-hydroxytryptamine; 5-HT) and norepinephrine (NE) degradation, is a primary factor in the pathophysiology of antisocial and aggressive behavior. Accordingly, male MAO A-deficient humans and mice exhibit an extreme predisposition to aggressive outbursts in response to stress. As NMDARs regulate the emotional reactivity to social and environmental stimuli, we hypothesized their involvement in the modulation of aggression mediated by MAO A. In comparison with WT male mice, MAO A KO counterparts exhibited increases in 5-HT and NE levels across all brain regions, but no difference in glutamate concentrations and NMDAR binding. Notably, the prefrontal cortex (PFC) of MAO A KO mice exhibited higher expression of NR2A and NR2B, as well as lower levels of glycosylated NR1 subunits. In line with these changes, the current amplitude and decay time of NMDARs in PFC was significantly reduced. Furthermore, the currents of these receptors were hypersensitive to the action of the antagonists of the NMDAR complex (dizocilpine), as well as NR2A (PEAQX) and NR2B (Ro 25-6981) subunits. Notably, systemic administration of these agents selectively countered the enhanced aggression in MAO A KO mice, at doses that did not inherently affect motor activity. Our findings suggest that the role of MAO A in pathological aggression may be mediated by changes in NMDAR subunit composition in the PFC, and point to a critical function of this receptor in the molecular bases of antisocial personality

    Mechanisms of antibiotic resistance to enrofloxacin in uropathogenic Escherichia coli in dog

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    Escherichia coli (E. coli) urinary tract infections (UTIs) are becoming a serious problem both for pets and humans (zoonosis) due to the close contact and to the increasing resistance to antibiotics. This study has been performed in order to unravel the mechanism of induced enrofloxacin resistance in canine E. coli isolates that represent a good tool to study this pathology. The isolated E. coli has been induced with enrofloxacin and studied through 2D DIGE and shotgun MS. Discovered differentially expressed proteins are principally involved in antibiotic resistance and linked to oxidative stress response, to DNA protection and to membrane permeability. Moreover, since enrofloxacin is an inhibitor of DNA gyrase, the overexpression of DNA starvation/stationary phase protection protein (Dsp) could be a central point to discover themechanismof this clone to counteract the effects of enrofloxacin. In parallel, the dramatic decrease of the synthesis of the outer membrane proteinW, which represents one of the main gates for enrofloxacin entrance, could explain additional mechanismof E. coli defense against this antibiotic

    Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

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    : The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)
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