Ethyl tert-butyl ether (ETBE) biodegradation by a syntrophic association of Rhodococcus sp. IFP 2042 and Bradyrhizobium sp. IFP 2049 isolated from a polluted aquifer

Ethyl tert-butyl ether (ETBE) enrichment was obtained by adding contaminated groundwater to a mineral medium containing ETBE as the sole carbon and energy source. ETBE was completely degraded to biomass and CO₂ with a transient production of tert-butanol (TBA) and a final biomass yield of 0.37?±?0.08 mg biomass (dry weight).mg^?1 ETBE. Two bacterial strains, IFP 2042 and IFP 2049, were isolated from the enrichment, and their 16S rRNA genes (rrs) were similar to Rhodococcus sp. (99 % similarity to Rhodococcus erythropolis) and Bradyrhizobium sp. (99 % similarity to Bradyrhizobium japonicum), respectively. Rhodococcus sp. IFP 2042 degraded ETBE to TBA, and Bradyrhizobium sp. IFP 2049 degraded TBA to biomass and CO₂. A mixed culture of IFP 2042 and IFP 2049 degraded ETBE to CO₂ with a biomass yield similar to the original ETBE enrichment (0.31?±?0.02 mg?biomass.mg^?1 ETBE). Among the genes previously described to be involved in ETBE, MTBE, and TBA degradation, only alkB was detected in Rhodococcus sp. IFP 2042 by PCR, and none were detected in Bradyrhizobium sp. IFP 2049.     

Cloning, expression and characterization of insulin-degrading enzyme from tomato (Solanum lycopersicum)

A cDNA encoding insulin-degrading enzyme (IDE) was cloned from tomato (Solanum lycopersicum) and expressed in Escherichia coli in N-terminal fusion with glutathione S-transferase. GST-SlIDE was characterized as a neutral thiol-dependent metallopeptidase with insulinase activity: the recombinant enzyme cleaved the oxidized insulin B chain at eight peptide bonds, six of which are also targets of human IDE. Despite a certain preference for proline in the vicinity of the cleavage site, synthetic peptides were cleaved at apparently stochastic positions indicating that SlIDE, similar to IDEs from other organisms, does not recognize any particular amino acid motif in the primary structure of its substrates. Under steady-state conditions, an apparent K(m) of 62+/-7 microm and a catalytic efficiency (k(cat)/K(m)) of 62+/-15 mm(-1) s(-1) were determined for Abz-SKRDPPKMQTDLY(NO(3))-NH(2) as the substrate. GST-SlIDE was effectively inhibited by ATP at physiological concentrations, suggesting regulation of its activity in response to the energy status of the cell. While mammalian and plant IDEs share many of their biochemical properties, this similarity does not extend to their function in vivo, because insulin and the beta-amyloid peptide, well-established substrates of mammalian IDEs, as well as insulin-related signaling appear to be absent from plant systems.     

Domestication of a housekeeping transglycosylase for assembly of a Type VI secretion system

The type VI secretion system (T6SS) is an anti‐bacterial weapon comprising a contractile tail anchored to the cell envelope by a membrane complex. The TssJ, TssL, and TssM proteins assemble a 1.7‐MDa channel complex that spans the cell envelope, including the peptidoglycan layer. The electron microscopy structure of the TssJLM complex revealed that it has a diameter of ~18 nm in the periplasm, which is larger than the size of peptidoglycan pores (~2 nm), hence questioning how the T6SS membrane complex crosses the peptidoglycan layer. Here, we report that the MltE housekeeping lytic transglycosylase (LTG) is required for T6SS assembly in enteroaggregative Escherichia coli. Protein–protein interaction studies further demonstrated that MltE is recruited to the periplasmic domain of TssM. In addition, we show that TssM significantly stimulates MltE activity in vitro and that MltE is required for the late stages of T6SS membrane complex assembly. Collectively, our data provide the first example of domestication and activation of a LTG encoded within the core genome for the assembly of a secretion system.     

Instant evaluation of the absolute initial number of cDNA copies from a single real-time PCR curve

Amplification of a cDNA product by quantitative PCR (qPCR) is monitored by a fluorescent signal proportional to the amount of produced amplicon. The qPCR amplification curve usually displays an exponential phase followed by a non-exponential phase, ending with a plateau. Contrary to prevalent interpretation, we demonstrate that under standard qPCR conditions, the plateau can be explained by depletion of the probe through Taq polymerase- catalysed hydrolysis. Knowing the probe concentration and the fluorescence measured at the plateau, a specific fluorescence can thus be calculated. As far as probe hydrolysis quantitatively reflects amplicon synthesis, this, in turn, makes it possible to convert measured fluorescence levels in the exponential phase into concentrations of produced amplicon. It follows that the absolute target cDNA concentration initially engaged in the qPCR can be directly estimated from the fluorescence data, with no need to refer to any calibration with known concentrations of target DNA.     

Sensitive method for the quantitative determination of bromocriptine in human plasma by liquid chromatography-tandem mass spectrometry

A sensitive LC-MS-MS assay for the quantitative determination of bromocriptine has been developed and validated and is described in this work. The assay involved the extraction of the analyte from 1 ml of human plasma using a solid phase extraction on Oasis MCX cartridges. Chromatography was performed on a Symmetry C18 (2.1 mm x 100 mm, 3.5 microm) column using a mobile phase consisting of 25:75:01 acetonitrile-water-formic acid with a flow rate of 250 microl/min. The linearity was within the concentration range of 2-500 pg/ml. The lower limit of quantification was 2 pg/ml. This method has been demonstrated to be an improvement over existing methods due to its greater sensitivity and specificity.     

N-glycosylation Profiling of Colorectal Cancer Cell Lines Reveals Association of Fucosylation with Differentiation and Caudal Type Homebox 1 (CDX1)/Villin mRNA Expression

Various cancers such as colorectal cancer (CRC) are associated with alterations in protein glycosylation. CRC cell lines are frequently used to study these (glyco)biological changes and their mechanisms. However, differences between CRC cell lines with regard to their glycosylation have hitherto been largely neglected. Here, we comprehensively characterized the N-glycan profiles of 25 different CRC cell lines, derived from primary tumors and metastatic sites, in order to investigate their potential as glycobiological tumor model systems and to reveal glycans associated with cell line phenotypes. We applied an optimized, high-throughput membrane-based enzymatic glycan release for small sample amounts. Released glycans were derivatized to stabilize and differentiate between α2,3- and α2,6-linked N-acetylneuraminic acids, followed by N-glycosylation analysis by MALDI-TOF(/TOF)-MS. Our results showed pronounced differences between the N-glycosylation patterns of CRC cell lines. CRC cell line profiles differed from tissue-derived N-glycan profiles with regard to their high-mannose N-glycan content but showed a large overlap for complex type N-glycans, supporting their use as a glycobiological cancer model system. Importantly, we could show that the high-mannose N-glycans did not only occur as intracellular precursors but were also present at the cell surface. The obtained CRC cell line N-glycan features were not clearly correlated with mRNA expression levels of glycosyltransferases, demonstrating the usefulness of performing the structural analysis of glycans. Finally, correlation of CRC cell line glycosylation features with cancer cell markers and phenotypes revealed an association between highly fucosylated glycans and CDX1 and/or villin mRNA expression that both correlate with cell differentiation. Together, our findings provide new insights into CRC-associated glycan changes and setting the basis for more in-depth experiments on glycan function and regulation.Colorectal cancer (CRC)¹ is a very prevalent and heterogeneous pathology with highly variable disease progression and clinical outcome among patients. It is the third most common cancer in men and the second most common in women (1) with a highly stage-specific patient survival (2). Treatments are often curative for patients with local disease stages (stage I-II), whereas a 5-year survival of only 13% is observed in patients with distant metastasis (stage IV) (2). As CRC is often asymptomatic in the first years, unfortunately, only 40% of the patients are diagnosed at stage I-II, thus pointing to the urgent need of sensitive diagnostic tools for early detection and consequently effective, curative treatment (3). In this context, understanding the complex mechanisms of CRC is an overriding condition for the development of new, more efficient means of detection, treatment, and prognosis of the disease.Altered glycosylation is a hallmark of cancer (4) and is known to occur with cancer progression (4, 5) as glycans are involved in many cancer-associated events such as adhesion, invasion, and cell signaling (6). As a result of altered glycan structures, cellular processes can be affected due to a change of interactions with glycan-binding proteins (7–9). Several CRC tissue-associated changes in N-glycans, O-glycans, and glycosphingolipid glycans have been reported and recently reviewed (7). For instance, N-glycans extracted from colorectal tumor tissues are characterized by an increase of sulfated glycans, (truncated) high-mannose-type glycans, and glycans containing sialylated Lewis type epitopes, while showing a decrease of bisection as compared with glycans from nontumor colorectal tissue of the same individuals (10). In accordance, elevated expression of sialyl Lewis A (NeuAcα2,3Galβ1,3[Fucα1,4]GlcNAc-R; NeuAc = N-acetylneuraminic acid, Gal = galactose, Fuc = fucose, GlcNAc = N-acetylglucosamine, R = rest) and pauci-mannosidic N-glycans (truncated high-mannose-type, Man1–4GlcNAc1–4GlcNAc; Man = mannose) was recently found to be correlated with poor prognosis in (advanced) colon carcinomas and N-glycomic profiling was successfully applied to distinguish colorectal adenomas from carcinomas (11).Due to limitations in accessibility of tumor materials and possibilities of in vivo studies on a large scale, cancer cell lines represent a relevant alternative and are widely used as model systems for studying the molecular mechanisms associated with cancer outcome and progression. Since the early 1960s, colorectal cancer cell lines have been established with HT29, LoVo, LS-180, LS-174T, and Co115 representing the first continuous cell lines derived from colon tumors and xenografts (12–14). Major benefits of cancer cell lines are their continuous availability, their fast growth, and relatively easy handling, making them suitable also for high-throughput screenings (15) and a large range of experimental possibilities (16). Of note, advantages and limitations of cell lines have been recently reviewed (15).In order to select suitable in vitro models, the characterization of molecular features and their comparison to tumor tissues are needed. A detailed Cancer Cell Line Encyclopedia was recently established containing a genomic dataset for 947 human cancer cell lines, from which 58 are colorectal cancer lineages (17). The Cancer Cell Line Encyclopedia includes data collections on genomic characterization, point mutation frequencies, DNA copy number, and mRNA expression levels. Comparison of these features between cell lines and primary tumors showed a high correlation in most cancer types, especially for colorectal cancer, suggesting that cell lines do represent tumor tissues quite reasonably at least on the genetic level. However, the number of publications characterizing cancer cell lines at a molecular level is far behind the number of articles using cancer cell lines as model systems (18), and only few studies have been conducted on whether in vitro cultured cell lines can serve as suitable models for human tumors (19–22). Furthermore, cell lines are well characterized genetically, but they are largely understudied with regard to their glycosylation profiles.Here, we developed and optimized a new analytical method for the more sensitive and higher throughput N-glycome profiling of cells. This method is based on the release of N-glycans in a 96-well plate format from a PVDF-membrane (23) starting from a low number of cells (250,000 cells), the chemical derivatization of released N-glycans enabling the stabilization and discrimination of α2,3- and α2,6-linked N-acetylneuraminic acids (24), followed by registration of the N-glycans by MALDI-TOF(/TOF)-MS. The method was applied to characterize the N-glycome of 25 different colorectal cell lines in a fast and robust manner, including biological and technical replicates for all the cell lines. We obtained the comprehensive N-glycan profiles of 21 cell lines derived from primary tumors, two from lymph node metastases, one from a lung metastasis, and one from ascites fluid to assess their potential as glycobiological tumor model systems. Cancer cell line glycosylation features were then correlated with cancer cell markers and phenotypes as well as glycosyltransferase expressions. This study provides new insights into colon-cancer-associated glycan changes and sets a basis for studies into the functions of N-glycans in CRC with cell lines as model systems.     

Acute phase inflammation is characterized by rapid changes in plasma/peritoneal fluid <Emphasis Type="Italic">N</Emphasis>-glycosylation in mice

Murine zymosan-induced peritonitis is a widely used model for studying the molecular and cellular events responsible for the initiation, persistence and/or resolution of inflammation. Among these events, it is becoming increasingly evident that changes in glycosylation of proteins, especially in the plasma and at the site of inflammation, play an important role in the inflammatory response. Using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS)-based glycosylation profiling, we investigated the qualitative and quantitative effect of zymosan-induced peritonitis on N-glycosylation in mouse plasma and peritoneal fluid. Our results show that both N-glycomes exhibit highly similar glycosylation patterns, consisting mainly of diantennary and triantennary complex type N-glycans with high levels (>95 %) of galactosylation and sialylation (mostly NeuGc) and a medium degree of core fucosylation (30 %). Moreover, MS/MS structural analysis, assisted by linkage-specific derivatization of sialic acids, revealed the presence of O-acetylated sialic acids as well as disialylated antennae (“branching sialylation”) characterized by the presence of α2-6-linked NeuGc on the GlcNAc of the NeuGcα2-3-Galβ1-3-GlcNAc terminal motif. A significant decrease of (core) fucosylation together with an increase of both α2-3-linked NeuGc and “branching sialylation” were observed in N-glycomes of mice challenged with zymosan, but not in control mice injected with PBS. Importantly, substantial changes in glycosylation were already observed 12 h after induction of peritonitis, thereby demonstrating an unexpected velocity of the biological mechanisms involved.     

On the Complexity of Life Cycle Inventory Networks: Role of Life Cycle Processes with Network Analysis

Determining the relevance and importance of a technosphere process or a cluster of processes in relation to the rest of the industrial network can provide insights into the sustainability of supply chains: those that need to be optimized or controlled/safeguarded. Network analysis (NA) can offer a broad framework of indicators to tackle this problem. In this article, we present a detailed analysis of a life cycle inventory (LCI) model from an NA perspective. Specifically, the network is represented as a directed graph and the “emergy” numeraire is used as the weight associated with the arcs of the network. The case study of a technological system for drinking water production is presented. We investigate the topological and structural characteristics of the network representation of this system and compare properties of its weighted and unweighted network, as well as the importance of nodes (i.e., life cycle unit processes). By identifying a number of advantages and limitations linked to the modeling complexity of such emergy‐LCI networks, we classify the LCI technosphere network of our case study as a complex network belonging to the scale‐free network family. The salient feature of this network family is represented by the presence of “hubs”: nodes that connect with many other nodes. Hub failures may imply relevant changes, decreases, or even breaks in the connectedness with other smaller hubs and nodes of the network. Hence, by identifying node centralities, we can rank and interpret the relevance of each node for its special role in the life cycle network.