Genome-scale reconstruction of Salinispora tropica CNB-440 metabolism to study strain-specific adaptation.

The first manually curated genome-scale metabolic model for Salinispora tropica strain CNB-440 was constructed. The reconstruction enables characterization of the metabolic capabilities for understanding and modeling the cellular physiology of this actinobacterium. The iCC908 model was based on physiological and biochemical information of primary and specialised metabolism pathways. The reconstructed stoichiometric matrix consists of 1169 biochemical conversions, 204 transport reactions and 1317 metabolites. A total of 908 structural open reading frames (ORFs) were included in the reconstructed network. The number of gene functions included in the reconstructed network corresponds to 20% of all characterized ORFs in the S. tropica genome. The genome-scale metabolic model was used to study strain-specific capabilities in defined minimal media. iCC908 was used to analyze growth capabilities in 41 different minimal growth-supporting environments. These nutrient sources were evaluated experimentally to assess the accuracy of in silico growth simulations. The model predicted no auxotrophies for essential amino acids, which was corroborated experimentally. The strain is able to use 21 different carbon sources, 8 nitrogen sources and 4 sulfur sources from the nutrient sources tested. Experimental observation suggests that the cells may be able to store sulfur. False predictions provided opportunities to gain new insights into the physiology of this species, and to gap fill the missing knowledge. The incorporation of modifications led to increased accuracy in predicting the outcome of growth/no growth experiments from 76 to 93%. iCC908 can thus be used to define the metabolic capabilities of S. tropica and guide and enhance the production of specialised metabolites.

Correlation between response to neoadjuvant chemotherapy and survival in locally advanced breast cancer patients.

BACKGROUND: Measurement of residual disease following neoadjuvant chemotherapy that accurately predicts long-term survival in locally advanced breast cancer (LABC) is an essential requirement for clinical trials development. Several methods to assess tumor response have been described. However, the agreement between methods and correlation with survival in independent cohorts has not been reported. PATIENTS AND METHODS: We report survival and tumor response according to the measurement of residual breast cancer burden (RCB), the Miller and Payne classification and the Response Evaluation Criteria in Solid Tumors (RECIST) criteria, in 151 LABC patients. Kappa Cohen's coefficient (К) was used to test the agreement between methods. We assessed the correlation between the treatment outcome and overall survival (OS) and relapse-free survival (RFS) by calculating Harrell's C-statistic (c). RESULTS: The agreement between Miller and Payne classification and RCB classes was very high (К = 0.82). In contrast, we found a moderate-to-fair agreement between the Miller and Payne classification and RECIST criteria (К = 0.52) and RCB classes and RECIST criteria (К = 0.38). The adjusted C-statistic to predict OS for RCB index (0.77) and RCB classes (0.75) was superior to that of RECIST criteria (0.69) (P = 0.007 and P = 0.035, respectively). Also, RCB index (c = 0.71), RCB classes (c = 0.71) and Miller and Payne classification (c = 0.67) predicted better RFS than RECIST criteria (c = 0.61) (P = 0.005, P = 0.006 and P = 0.028, respectively). CONCLUSIONS: The pathological assessment of tumor response might provide stronger prognostic information in LABC patients.

Cloning, expression and decoding of the cold adaptation of a new widely represented thermolabile subtilisin-like protease.

AIMS: Cloning, expression and characterization of a new cold-adapted protease with potential biotechnological application, isolated from Antarctic bacteria. METHOD AND RESULTS: A subtilisin-like gene was isolated from several Antarctic bacterial genus using CODPEHOP-designed primers and a genome walking method. This gene encodes a precursor protein, which undergoes an autocatalytic cleavage resulting in a 34.6 kDa active cold-adapted protease with a maximum activity at 25-35°C and optimum pH of 8.0-9.0. It showed a higher catalytic efficiency at lower temperatures compared to its mesophilic counterpart. Heat-induced inactivation resulted in a very low melting point. Local packing analysis using the homology model indicated Ala284 as an important cold-adaptation determinant, which was corroborated by the site-directed mutagenesis. CONCLUSIONS: A new thermolabile subtilisin-like protease has been successfully cloned and analysed, and an important hot spot in the evolution of the cold adaptation and substrate specificity of this enzyme was identified and tested. SIGNIFICANCE AND IMPACT OF THE STUDY: This work reports a new cold-adapted protease with a vast representation amongst Antarctic genus, suggesting therefore its evolutionary success in this cold environment. Likewise, important sites for genetic potentiation have been identified, which are extrapolated to other enzymes of the same kind.

Chemotherapy (CT) and hormonotherapy (HT) as neoadjuvant treatment in luminal breast cancer patients: results from the GEICAM/2006-03, a multicenter, randomized, phase-II study.

BACKGROUND: Luminal breast cancer is a highly endocrine responsive disease. However, the therapeutic benefit of chemotherapy (CT) in this population is not fully characterized. This study investigates the value of CT and hormone therapy (HT) in luminal breast cancer patients in the neoadjuvant setting. PATIENTS AND METHODS: Patients with operable breast cancer and immunophenotypically defined luminal disease (ER+/PR+/HER2-/cytokeratin 8/18+) were recruited. Patients were randomized to CT (epirubicin 90 mg/m(2) plus cyclophosphamide 600 mg/m(2) 4 cycles followed by docetaxel 100 mg/m(2 )4 cycles [EC-T]) or HT (exemestane 25 mg daily 24 weeks [combined with goserelin in premenopausal patients]). The primary end point was the clinical response measured by magnetic resonance imaging. RESULTS: Ninety-five patients were randomized (47 CT, 48 HT). The clinical response rate was 66% for CT and 48% for HT (P = 0.075). We performed an unplanned analysis based on Ki67 levels (cut-off of 10%). Similar clinical response was seen between arms in patients with low Ki67 (CT: 63%, HT: 58%; P = 0.74); patients with high Ki67 had a better response with CT (67 versus 42%; P = 0.075). Grade 3/4 toxicity was more frequent with CT. CONCLUSIONS: Luminal immunophenotype is not enough to identify patients who do not benefit from neoadjuvant CT. Luminal patients with low proliferation index could potentially avoid CT.

A randomized phase II trial of platinum salts in basal-like breast cancer patients in the neoadjuvant setting. Results from the GEICAM/2006-03, multicenter study.

Chemotherapy remains as the only systemic treatment option available for basal-like breast cancer (BC) patients. Preclinical models and several phase II studies suggested that platinum salts are active drugs in this BC subtype though there is no randomized study supporting this hypothesis. This study investigates if the addition of carboplatin to a combination of an alkylating agent together with anthracyclines and taxanes is able to increase the efficacy in the neoadjuvant treatment context. Patients with operable breast cancer and immunophenotypically defined basal-like disease (ER-/PR-/HER2- and cytokeratin 5/6+ or EGFR+) were recruited. Patients were randomized to receive EC (epirubicin 90 mg/m(2) plus cyclophosphamide 600 mg/m(2) for 4 cycles) followed either by D (docetaxel 100 mg/m(2) × 4 cycles; EC-D) or DCb (docetaxel 75 mg/m(2) plus carboplatin AUC 6 × 4 cycles; EC-DCb). The primary end point was pathological complete response (pCR) in the breast following the Miller and Payne criteria. Ninety-four patients were randomized (46 EC-D, 48 EC-DCb). pCR rate in the breast was seen in 16 patients (35 %) with EC-D and 14 patients (30 %) with EC-DCb (P value = 0.61). pCR in the breast and axilla was seen in 30 % of patients in both arms. The overall clinical response rate was 70 % (95 % CI 56-83) in the EC-D arm and 77 % (95 % CI 65-87) in the EC-DCb arm. Grade 3/4 toxicity was similar in both arms. The addition of carboplatin to conventional chemotherapy with EC-D in basal-like breast cancer patients did not improve the efficacy probably because they had already received an alkylating agent. These findings should be taken into consideration when developing new agents for this disease.

Continuous modeling of metabolic networks with gene regulation in yeast and in vivo determination of rate parameters.

A continuous model of a metabolic network including gene regulation to simulate metabolic fluxes during batch cultivation of yeast Saccharomyces cerevisiae was developed. The metabolic network includes reactions of glycolysis, gluconeogenesis, glycerol and ethanol synthesis and consumption, the tricarboxylic acid cycle, and protein synthesis. Carbon sources considered were glucose and then ethanol synthesized during growth on glucose. The metabolic network has 39 fluxes, which represent the action of 50 enzymes and 64 genes and it is coupled with a gene regulation network which defines enzyme synthesis (activities) and incorporates regulation by glucose (enzyme induction and repression), modeled using ordinary differential equations. The model includes enzyme kinetics, equations that follow both mass-action law and transport as well as inducible, repressible, and constitutive enzymes of metabolism. The model was able to simulate a fermentation of S. cerevisiae during the exponential growth phase on glucose and the exponential growth phase on ethanol using only one set of kinetic parameters. All fluxes in the continuous model followed the behavior shown by the metabolic flux analysis (MFA) obtained from experimental results. The differences obtained between the fluxes given by the model and the fluxes determined by the MFA do not exceed 25% in 75% of the cases during exponential growth on glucose, and 20% in 90% of the cases during exponential growth on ethanol. Furthermore, the adjustment of the fermentation profiles of biomass, glucose, and ethanol were 95%, 95%, and 79%, respectively. With these results the simulation was considered successful. A comparison between the simulation of the continuous model and the experimental data of the diauxic yeast fermentation for glucose, biomass, and ethanol, shows an extremely good match using the parameters found. The small discrepancies between the fluxes obtained through MFA and those predicted by the differential equations, as well as the good match between the profiles of glucose, biomass, and ethanol, and our simulation, show that this simple model, that does not rely on complex kinetic expressions, is able to capture the global behavior of the experimental data. Also, the determination of parameters using a straightforward minimization technique using data at only two points in time was sufficient to produce a relatively accurate model. Thus, even with a small amount of experimental data (rates and not concentrations) it was possible to estimate the parameters minimizing a simple objective function. The method proposed allows the obtention of reasonable parameters and concentrations in a system with a much larger number of unknowns than equations. Hence a contribution of this study is to present a convenient way to find in vivo rate parameters to model metabolic and genetic networks under different conditions.

Genomic predictors of response to doxorubicin versus docetaxel in primary breast cancer.

UNLABELLED: Taxanes and anthracyclines improve the outcome of early breast cancer, although the benefit is limited to a small proportion of patients and are toxic. We prospectively looked for predictors of response to these drugs. EXPERIMENTAL DESIGN: Four cycles of doxorubicin (75 mg/m²) or docetaxel (100 mg/m²) were compared as presurgical chemotherapy for breast cancer. Biomarkers were determined by immunohistochemistry and fluorescent in situ hybridization using prechemotherapy core biopsies. Tumors were also classified into one of the molecular intrinsic subtypes using an immunohistochemical panel of five biomarkers and genomic profiles. Single genes and intrinsic subtypes were correlated with response to doxorubicin versus docetaxel. Among the 204 evaluable patients, significant predictors of sensitivity in multivariate analysis were low topo2a expression and ER-negative status for doxorubicin and small tumor size and ER-negative status for docetaxel. Predictors of resistance in multivariate analysis were triple-negative status (ER/PgR/HER2 negative by IHC/FISH) for doxorubicin, and high TNM stage for docetaxel. Triple-negative tumors were associated with topo2a overexpression more than the other subtypes. In 94 patients with gene expression profiles, docetaxel was superior to doxorubicin in the basal-like subtype (good pathological response rate - PCR + class I of 56 vs. 0%; P = 0.034); no significant differences were observed in the other subtypes when comparing these two drugs. Low topo2a expression and ER-negative status were predictors of response to doxorubicin, while small tumor size and ER-negative status predicted response to docetaxel. Docetaxel was superior to doxorubicin in triple-negative/basal-like tumors, while no significant differences were seen in the remaining intrinsic subtypes.

Extension of the selection of protein chromatography and the rate model to affinity chromatography.

The rational selection of optimal protein purification sequences, as well as mathematical models that simulate and allow optimization of chromatographic protein purification processes have been developed for purification procedures such as ion-exchange, hydrophobic interaction and gel filtration chromatography. This paper investigates the extension of such analysis to affinity chromatography both in the selection of chromatographic processes and in the use of the rate model for mathematical modelling and simulation. Two affinity systems were used: Blue Sepharose and Protein A. The extension of the theory developed previously for ion-exchange and HIC chromatography to affinity separations is analyzed in this paper. For the selection of operations two algorithms are used. In the first, the value of η, which corresponds to the efficiency (resolution) of the actual chromatography and, Σ, which determines the amount of a particular contaminant eliminated after each separation step, which determines the purity, have to be determined. It was found that the value of both these parameters is not generic for affinity separations but will depend on the type of affinity system used and will have to be determined on a case by case basis. With Blue Sepharose a salt gradient was used and with Protein A, a pH gradient. Parameters were determined with individual proteins and simulations of the protein mixtures were done. This approach allows investigation of chromatographic protein purification in a holistic manner that includes ion-exchange, HIC, gel filtration and affinity separations for the first time.

Viral vectors for the treatment of alcoholism: use of metabolic flux analysis for cell cultivation and vector production.

The HEK293 cell line has been used for the production of adenovirus vectors to be used in the potential treatment of alcoholism using a gene therapy strategy. Culture optimization and scale-up has been achieved by first adapting the cells to serum-free media and secondly by growing them in suspension. Adenovirus production after infection was increased, resulting in higher specific glucose consumption and lactate accumulation rates compared to the growth phase. We applied media design tools and Metabolic Flux Analysis (MFA) to compare the metabolic states of cells during growth and adenovirus production and to optimize culture media according to the metabolic demand of the cells in terms of glucose and glutamine concentrations. This allowed obtaining a higher maximum cell concentration and increased adenovirus production by minimizing the production of metabolites that can have an inhibitory effect on cell growth. We have proposed a stoichiometric equation for adenovirus synthesis. MFA results allowed determination of how these changes in composition affected the way cells distribute their nutrient resources during cell growth and virus production. Virus purification was successfully achieved using chromatography and Aqueous Two-Phase Systems (ATPS).

Stoichiometric model and metabolic flux analysis for Leptospirillum ferrooxidans.

A metabolic model for Leptospirillum ferrooxidans was developed based on the genomic information of an analogous iron oxidizing bacteria and on the pathways of ferrous iron oxidation, nitrogen and CO(2) assimilation based on experimental evidence for L. ferrooxidans found in the literature. From this metabolic reconstruction, a stoichiometric model was built, which includes 86 reactions describing the main catabolic and anabolic aspects of its metabolism. The model obtained has 2 degrees of freedom, so two external fluxes were estimated to achieve a determined and observable system. By using the external oxygen consumption rate and the generation flux biomass as input data, a metabolic flux map with a distribution of internal fluxes was obtained. The results obtained were verified with experimental data from the literature, achieving a very good prediction of the metabolic behavior of this bacterium at steady state.

Celecoxib in a 12-year-old boy with familial adenomatous polyposis.

Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder characterized by colonic polyps in early adult life. Children with this disease are at risk for colonic cancer, so prophylactic colectomy is the standard treatment to prevent this complication. Chemoprevention experience with NSAIDs in children is exceptional. This case report describes our experience with Celecoxib, a COX-2 inhibitor, in a 12-year-old boy.

A stoichiometric model of Acidithiobacillus ferrooxidans ATCC 23270 for metabolic flux analysis.

A stoichiometric model of Acidithiobacillus ferrooxidans based on the sequenced genome from strain ATCC 23270 is derived and parameterized using genome/pathway databases. The model describes the main aspects of catabolism and anabolism. By the construction and utilization of the mathematical determination of the network, metabolic flux analysis is performed for such a bacterium for the first time and results are successfully verified by comparison to literature values. This first metabolic model of A. ferrooxidans is able to simulate the main aspects of metabolism and will be useful for further investigation and improvement of bioleaching procedures.

Mathematical modeling of elution curves for a protein mixture in ion exchange chromatography applied to high protein concentration.

Protein elution curves in ion exchange chromatography (IEC) were simulated with a rate model. Three pure proteins and their mixture were used (alpha-lactalbumin, BSA, and conalbumin) under different operational conditions. The anionic matrix Q-Sepharose FF was used packed in a 1 mL column. A high protein concentration (37.5 mg/mL of total protein injected into the column) was used in order to extend the utility of the model. Mass transfer parameters were calculated using empiric correlations, where the axial dispersion was negligible (Pe > 300) and the mass transfer was controlled by the intraparticle diffusion (Bi > 10). The model assumes a modulator-eluite relationship were the equilibrium constant of the Langmuir isotherm was a function of salt concentration. Adsorption kinetic parameters were estimated from experimental data. The parameters for pure proteins were determined, and elution curves for changes in flow rate, ionic strength gradient, concentration, and sample size were predicted by the model. Then the kinetic parameters of the mixture were determined under the same operational conditions and some of the parameters had to be modified to take into account effects such as protein-protein interactions, competition, and displacement. Experimental elution curves obtained for changes in operational conditions such as flow rate and ionic strength gradient were simulated by the rate model for the protein mixture with a relative error in retention time of visible peaks <5%. IEC operational conditions and the peak fraction collection can be selected using a cost function of the production process which considers yield, purity, concentration, and process time that are obtained from simulations. Operational conditions that gave the minimum cost were selected. Simulations allows to diminish experimental time and cost.

Molecular analysis of colorectal cancer tumors from patients with mismatch repair proficient hereditary nonpolyposis colorectal cancer suggests novel carcinogenic pathways.

PURPOSE: A subset of colorectal cancers (CRC) arises in families that, despite fulfilling clinical criteria for hereditary nonpolyposis colorectal cancer (HNPCC), do not show evidence of a mismatch repair (MMR) deficiency. The main objective of this study was to characterize these tumors at the molecular level. EXPERIMENTAL DESIGN: After comprehensive germ line mutation scanning, microsatellite analysis, and MMR protein expressions, we selected a well-defined cohort of 57 colorectal tumors with no evidence of MMR defects. In this group of tumors, we analyzed KRAS, BRAF, and APC somatic mutations, as well as methylguanine methyltransferase (MGMT) and beta-catenin expression. We correlated these alterations with clinicopathologic data and explored the relationship between KRAS G > A transitions and lack of MGMT expression. RESULTS: The mutation profile at the RAS/RAF/MAPK pathway mimics sporadic microsatellite-stable CRCs. We found an average age of diagnosis 10 years older in KRAS-mutated patients (P = 0.001). In addition, we show that KRAS G > A transitions are actively selected by tumors, regardless of MGMT status. Similarities with HNPCC high-microsatellite instability tumors are observed when APC data are analyzed. The APC mutation rate was low and small insertions/deletions accounted for 70% of the alterations. In addition, we found a low frequency of beta-catenin nuclear staining. Finally, we did not find evidence of tumors arising in individuals from the same family sharing molecular features. CONCLUSIONS: We show evidence that CRC tumors arising in HNPCC families without MMR alterations have distinctive molecular features. Overall, our work shows that systematic analysis of somatic alterations in a well-defined subset of CRCs is a good approach to provide new insights into the mechanisms of colorectal carcinogenesis.

Human colon adenocarcinomas express a MUC1-associated novel carbohydrate epitope on core mucin glycans defined by a monoclonal antibody (A10) raised against murine Ehrlich tumor cells.

A monoclonal antibody (mAb; A10) raised against murine Ehrlich tumor cell surface carbohydrates was tested for reactivity with human normal and malignant tissues. A10 reacted strongly, with a high proportion of adenocarcinomas arising from colon and other tissues but not with breast carcinomas or other malignant tumors. Normal tissues were virtually A10 unreactive, except for the duct cells from breast and pancreas and some bronchial mucosae. Ultrastructural studies showed mAb A10 immunolabeling of both microvilli and mucin droplets in colon cancer cells but not in normal absorptive or globet cells. A10 reacted strongly with mucin-enriched fractions from colon cancer tissues and HT-29 xenografts but not from normal colon tissues. A10 epitope was carried on MUC1 derived from colon adenocarcinomas and probably on other mucin species, although not on MUC2 molecules. A10 epitope was resistant to exoglycosidases and periodate oxidation but sensitive to the Smith's degradation and beta-elimination, suggesting the involvement of O-linked carbohydrates in nonterminal reducing positions. A mucin-type glycosidic linkage was supported because of the lack of A10 reactivity with HT-29 cells grown with phenyl-N-acetyl-alpha-D-galactosaminide. Deglycosylation studies with trifluoromethanesulfonic acid pointed to the involvement of core mucin glycans in the A10 epitope. This epitope was resistant to protease, O- and N-glycanase treatments carried out on trifluoromethanesulfonic acid-deglycosylated mucins. Inhibition studies with core 1, core 2, core 3, and core 6 suggested the latter [GlcNAcbeta(1-6)GalNAc] as being involved in A10 epitope. Taken together, the present results point to A10 defining a core 6-related epitope on core mucin glycans expressed by colon cancer MUC1 not previously associated with human cancer.

Characterization of Ferroplasma acidiphilum growing in pure and mixed culture with Leptospirillum ferriphilum.

Biomining is defined as biotechnology for metal recovery from minerals, and is promoted by the concerted effort of a consortium of acidophile prokaryotes, comprised of members of the Bacteria and Archaea domains. Ferroplasma acidiphilum and Leptospirillum ferriphilum are the dominant species in extremely acid environments and have great use in bioleaching applications; however, the role of each species in this consortia is still a subject of research. The hypothesis of this work is that F. acidiphilum uses the organic matter secreted by L. ferriphilum for growth, maintaining low levels of organic compounds in the culture medium, preventing their toxic effects on L. ferriphilum. To test this hypothesis, a characterization of Ferroplasma acidiphilum strain BRL-115 was made with the objective of determining its optimal growth conditions. Subsequently, under the optimal conditions, L. ferriphilum and F. acidiphilum were tested growing in each other's supernatant, in order to define if there was exchange of metabolites between the species. With these results, a mixed culture in batch cyclic operation was performed to obtain main specific growth rates, which were used to evaluate a mixed metabolic model previously developed by our group. It was observed that F. acidiphilum, strain BRL-115 is a chemomixotrophic organism, and its growth is maximized with yeast extract at a concentration of 0.04% wt/vol. From the experiments of L. ferriphilum growing on F. acidiphilum supernatant and vice versa, it was observed that in both cases cell growth is favorably affected by the presence of the filtered medium of the other microorganism, proving a synergistic interaction between these species. Specific growth rates were obtained in cyclic batch operation of the mixed culture and were used as input data for a Flux Balance Analysis of the mixed metabolic model, obtaining a reasonable behavior of the metabolic fluxes and the system as a whole, therefore consolidating the model previously developed. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1390-1396, 2016.

Molecular characterisation of a thermoactive beta-1,3-glucanase from Oerskovia xanthineolytica.

Molecular characterisation of a lytic thermoactive beta-1,3-glucanase from Oerskovia xanthineolytica LL-G109 has been performed. A molecular mass of 27 195.6 +/- 1.3 Da and an isoelectric point of 4.85 were determined by electrospray mass spectrometry and from its titration curve, respectively. Its thermoactivity profile shows it to be a heat-stable enzyme with a temperature optimum of 65 degrees C. The secondary structure content of the protein was estimated by circular dichroism to be approx. 25% alpha-helix, 7% random coil, and 68% beta-sheet and beta-turn structure. Nuclear magnetic resonance spectra confirm the high content of beta-structure. Furthermore, the presence of a compact hydrophobic core is indicated by the presence of slowly exchanging amide hydrogens and the enzyme's relatively high resistance to proteolysis. The N-terminal sequences of the intact protein and of a tryptic peptide each exhibit significant similarity to family 16 of glycosyl hydrolases whose overall fold is known to contain almost exclusively beta-sheets and surface loops. Moreover, the sequenced tryptic peptide appears to encompass residues of the Oerskovia xanthineolytica glucanase active site, since it contains a portion of the family 16 active-site motif E-[L/I/V]-D-[L/I/V]-E.

A theory of protein-resin interaction in hydrophobic interaction chromatography.

Docking simulations were performed in order to investigate surface area of interaction between several ribonucleases and a reduced model for the hydrophobic moiety used in Phenyl Sepharose using the program AutoDock 3.0. For each ribonucelase, 80 independent simulations with populations consisting of 100 random structures were performed and from these the most probable docked protein-ligand conformations were obtained. A new methodology was used to select the most probable conformations, based on qualitative and quantitative considerations. The interacting amino acids in each protein were identified. The average surface hydrophobicity of the interfacial zone (local hydrophobicity, LH) was determined. The LH showed a high correlation level (r2 = 0.99) with the "hydrophobic contact area" (HCA) experimentally determined for the different ribonucleases as well as with the dimensionless retention time (r2 = 0.90). This study allowed us to identify the zones on the protein surface most probably involved in protein retention in HIC, without tedious experimental work. Given the good correlation level obtained, this new methodology may constitute a novel approach that could be used to predict protein behavior in HIC.

Cuirasse skin metastases secondary to gastric adenocarcinoma.

Skin metastases are infrequent manifestations of solid tumours. However, it is important to recognize them since they may be the first evidence of a neoplasia, or a sign of tumour progression or recurrence. Skin metastases from gastric adenocarcinomas are particularly rare, and represent 6% of the total in males and 1% in females. We report, here, the case of a patient diagnosed with gastric adenocarcinoma with extensive subcutaneous infiltration of the abdominal wall, resulting in an abdominal cuirass.

Stoichiometric model and flux balance analysis for a mixed culture of Leptospirillum ferriphilum and Ferroplasma acidiphilum.

The oxidation process of sulfide minerals in natural environments is achieved by microbial communities from the Archaea and Bacteria domains. A metabolic reconstruction of two dominant species, Leptospirillum ferriphilum and Ferroplasma acidiphilum, which are always found together as a mixed culture in this natural environments, was made. The metabolic model, composed of 152 internal reactions and 29 transport reactions, describes the main interactions between these species, assuming that both use ferrous iron as energy source, and F. acidiphilum takes advantage of the organic compounds secreted by L. ferriphilum for chemomixotrophic growth. A first metabolic model for a mixed culture used in bacterial leaching is proposed in this article, which pretends to represent the characteristics of the mixed culture in a simplified manner. It was evaluated with experimental data through flux balance analysis (FBA) using as objective function the maximization of biomass. The growth yields on ferrous iron obtained for each microorganism are consistent with experimental data, and the flux distribution obtained allows understanding of the metabolic capabilities of both microorganisms growing together in a bioleaching process. The model was used to simulate the growth of F. acidiphilum on different substrates, to determine in silico which compounds maximize cell growth, and which are essential. Knockout simulations were carried out for L. ferriphilum and F. acidiphilum metabolic models, predicting key enzymes of central metabolism. The results of this analysis are consistent with experimental data from literature, showing a robust behavior of the metabolic model.