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Background:
Commensal bacteria like Neisseria meningitidis sometimes cause serious disease. However, genomic comparison of hyperinvasive and apathogenic lineages did not reveal unambiguous hints towards indispensable virulence factors. Here, in a systems biological approach we compared gene expression of the invasive strain MC58 and the carriage strain α522 under different ex vivo conditions mimicking commensal and virulence compartments to assess the strain-specific impact of gene regulation on meningococcal virulence.
Results:
Despite indistinguishable ex vivo phenotypes, both strains differed in the expression of over 500 genes under infection mimicking conditions. These differences comprised in particular metabolic and information processing genes as well as genes known to be involved in host-damage such as the nitrite reductase and numerous LOS biosynthesis genes. A model based analysis of the transcriptomic differences in human blood suggested ensuing metabolic flux differences in energy, glutamine and cysteine metabolic pathways along with differences in the activation of the stringent response in both strains. In support of the computational findings, experimental analyses revealed differences in cysteine and glutamine auxotrophy in both strains as well as a strain and condition dependent essentiality of the (p)ppGpp synthetase gene relA and of a short non-coding AT-rich repeat element in its promoter region.
Conclusions:
Our data suggest that meningococcal virulence is linked to transcriptional buffering of cryptic genetic variation in metabolic genes including global stress responses. They further highlight the role of regulatory elements for bacterial virulence and the limitations of model strain approaches when studying such genetically diverse species as N. meningitidis.
T cells play an essential role in the immune system. Engaging the T cell receptor (TCR) initiates a cascade of signaling events that activates the T cells. Neutral sphingomyelinase (NSM) is a member of a superfamily of enzymes responsible for the hydrolysis of sphingomyelin into phosphocholine and ceramide. Sphingolipids are essential mediators in signaling cascades involved in apoptosis, proliferation, stress responses, necrosis, inflammation, autophagy, senescence, and differentiation.
Upon specific ablation of NSM2, T cells proved to be hyper-responsive to CD3/CD28 co-stimulation, indicating that the enzyme acts to dampen early overshooting activation of these cells. It remained unclear whether a deregulated metabolic activity supports the hyper-reactivity of NSM2 deficient T cells. This work demonstrates that the ablation of NSM2 activity affects the metabolism of the quiescent CD4+ T cells. These accumulate ATP in mitochondria and increase basal glycolytic activity by increasing the basal glucose uptake and GLUT1 receptor expression, which, altogether, raises intracellular ATP levels and boosts cellular respiration. The increased basal metabolic activity is associated with rapid phosphorylation of S6, a mTORC1 target, as well as enhanced elevation total ATP levels within the first hour after CD3/CD28 costimulation. Increased metabolic activity in resting NSM2 deficient T cells does, however, not support sustained stimulated responses. While elevated under steady-state conditions and elevated early after co-stimulation in NSM2 deficient CD4+ T cells, the mTORC1 pathway regulating mitochondria size, oxidative phosphorylation, and ATP production is impaired after 24 hours of stimulation. Taken together, the absence of NSM2 promotes a hyperactive metabolic state in unstimulated CD4+ T cells yet fails to support sustained T cell responses upon antigenic stimulation without affecting T cell survival.
Nuclear Magnetic Resonance (NMR) provides a highly flexible platform for non invasive analysis and imaging biological samples, since the manipulation of nuclear spin allows the tailoring of experiments to maximize the informativeness of the data. MRI is capable of visualizing a holistic picture of the lipid storage in living plant/seed. This review has sought to explain how the technology can be used to acquire functional and physiological data from plant samples, and how to exploit it to characterize lipid deposition in vivo. At the same time, we have referred to the current limitations of NMR technology as applied to plants, and in particular of the difficulty of transferring methodologies optimized for animal/medical subjects to plant ones. A forward look into likely developments in the field is included, anticipating its key future role in the study of living plant.
Stress impacts negatively on plant growth and crop productivity, causing extensive losses to agricultural production worldwide. Throughout their life, plants are often confronted with multiple types of stress that affect overall cellular energy status and activate energy-saving responses. The resulting low energy syndrome (LES) includes transcriptional, translational, and metabolic reprogramming and is essential for stress adaptation. The conserved kinases sucrose-non-fermenting-1-related protein kinase-1 (SnRK1) and target of rapamycin (TOR) play central roles in the regulation of LES in response to stress conditions, affecting cellular processes and leading to growth arrest and metabolic reprogramming. We review the current understanding of how TOR and SnRK1 are involved in regulating the response of plants to low energy conditions. The central role in the regulation of cellular processes, the reprogramming of metabolism, and the phenotypic consequences of these two kinases will be discussed in light of current knowledge and potential future developments.
Hepatic activation of protein kinase C (PKC) isoforms by diacylglycerol (DAG) promotes insulin resistance and contributes to the development of type 2 diabetes (T2D). The closely related protein kinase D (PKD) isoforms act as effectors for DAG and PKC. Here, we showed that PKD3 was the predominant PKD isoform expressed in hepatocytes and was activated by lipid overload. PKD3 suppressed the activity of downstream insulin effectors including the kinase AKT and mechanistic target of rapamycin complex 1 and 2 (mTORC1 and mTORC2). Hepatic deletion of PKD3 in mice improved insulin-induced glucose tolerance. However, increased insulin signaling in the absence of PKD3 promoted lipogenesis mediated by SREBP (sterol regulatory element-binding protein) and consequently increased triglyceride and cholesterol content in the livers of PKD3-deficient mice fed a high-fat diet. Conversely, hepatic-specific overexpression of a constitutively active PKD3 mutant suppressed insulin-induced signaling and caused insulin resistance. Our results indicate that PKD3 provides feedback on hepatic lipid production and suppresses insulin signaling. Therefore, manipulation of PKD3 activity could be used to decrease hepatic lipid content or improve hepatic insulin sensitivity.
A successful therapy for colorectal cancer (CRC), one of the most common malignancies worldwide, requires the greatest possible research effort. Of critical importance is an understanding of the relevant intracellular networks of signaling cascades, their activation, and the resulting cellular changes that are a prerequisite for a more successful CRC therapy. Vascular endothelial growth factor (VEGF) and the appropriate VEGF receptors represent molecular targets that have already been successfully implemented in the clinic (i.e. using monoclonal antibodies, tyrosine kinase inhibitors). However, for platelet derived growth factor (PDGF) and the relevant PDGF receptors, there are currently no clinically approved molecular therapeutics available. However, there are preliminary data to show that PDGF and its associated signaling pathways play an important role in CRC progression. In particular, the PI3K/Akt/mTOR pathway is emerging as an important intracellular partner of PDGF with which to control proliferation, migration, and angiogenesis in tumor cells.
Therefore it was the objective of this work to investigate the multifactorial influence of PDGF on proliferation and metabolism, depending on CRC mutation status. The intention was to identify new therapeutic targets for future cancer therapy through analyses of PDGF-induced intracellular changes.
For this purpose two human colorectal cancer cell lines were analyzed at gene and/or protein level for components of the PI3K/Akt/mTOR and MAPK signaling pathway, c-Myc, p53, and HIF1α (hypoxia-inducible-factor 1α). Changes in proliferation and metabolism, either during stimulation with PDGF and/or PI3K/Akt/mTOR inhibition, were also investigated. Experiments conducted at protein level during PDGF stimulation and/or PI3K/Akt/mTOR inhibition revealed changes in signaling pathways and crosstalk. The influence of the tumor suppressors (retinoblastoma, Rb), oncogenes (c-Myc, p53mut), and HIF1α during stimulation with PDGF, and their interactions in the tumor cell with respect to proliferation and glycolysis warrant further examination in terms of clinical treatment options. Investigations at the gene level of ex vivo samples (UICC I-IV) complete the study with regards to the clinical relevance of PDGF.
PDGF stimulation increases tumor cell proliferation in HT29 cells via the PI3K/Akt/mTOR pathway rather than the MAPK pathway. However, if the PI3K/Akt/mTOR pathway is pharmacologically blocked, PDGF stimulation is mediated by inhibitory crosstalk through the MAPK pathway. Further analyses revealed that specific Akt inhibition impedes tumor cell growth, while PI3K inhibition had little effect on proliferation. Inhibitory crosstalk was found to be responsible for these different effects. Careful intervention strategies are therefore required if future therapies intend to make use of these specific signaling pathways. One aim of future research should be to gain a better understanding of the crosstalk between these signaling pathways. In this fashion, “over-inhibition” of the signal pathways, which would result in additional clinical side effects for patients, could be prevented.
In late stage UICC, more mutation events occur, with tumorigenicity promoted by an increased mutation rate. Given that PDGF is increasingly expressed in the late UICC stages, our data would indicate that PDGF's effects are amplified with increasing malignancy. The activating effect of PDGF on the PI3K/Akt/mTOR pathway and subsequent changes in the activity of p53mut, Rb, c-Myc, and HIF1α, lead to an unfavorable prognosis for colon cancer patients. PDGF acts on colon cancer cells in an Akt-activating, glycolysis-dependent manner. PDGF increases glycolysis and the ability of CRC cells to adjust their energy metabolism. These activities should be taken as possible starting points with which to design therapeutic interventions for CRC therapy.
PDGF, as another representative of the growth factor family, seems to play a similar role to VEGF in CRC. The data from this study underline the importance of the PDGF - PI3K/Akt/mTOR pathway-axis and its potential as a possible target in colorectal cancer. Thus PDGF represents an attractive therapeutic target, besides the VEGF/EGFR-based therapies already used in CRC.
Nowadays, more than half of the biotherapeutics are produced in mammalian cell lines as a result of correct protein folding and assembly as well as their faculty to bring about a variety of post-translational modifications. The widespread progression of biosimilars has moved the focus in mammalian cell-culture process development. Thereby, the modulation of quality attributes of recombinant therapeutic proteins has increasingly gained importance from early process development stages. Protein quality directly shapes the clinical efficacy and safety in vivo, and therefore, the control of the complex post-translational modifications, such as glycosylation (e.g. high mannose, fucosylation, galactosylation and sialylation), charge variants, aggregates and low-molecular-weight species formation, is pivotal for efficient receptor binding and for triggering the desired immune responses in patients. In the frame of biosimilar development, product quality modulation methods using the potential of the host cell line are particularly sought after to match the quality profile of the targeted reference medicinal product (RMP) as closely as possible. The environment the cell is dwelling in directly influences its metabolism and the resulting quality profile of the expressed protein. Thereby the cell culture medium plays a central role in upstream manufacturing. In this work, concentration adjustment of selected media components and supplementation with a variety of compounds was performed to alter various metabolic pathways, enzyme activities and in some cases the gene expression levels of Chinese Hamster Ovary (CHO) cells in culture. The supplementation of cell culture medium with the trisaccharide raffinose in fed-batch cultures entailed an increase of the abundance of high mannose glycans in two different CHO cell lines. Raffinose especially favored mannose 5 glycans. At the same time, it impaired cell culture performance, induced changes on the intracellular nucleotide levels and even varied the expression levels of glycosylation-related genes. Supplementation with a number of galactosyltransferase inhibiting compounds, in particular fluorinated galactose analogs (alpha- and beta-2F-peracetyl-galactose), consistently decreased the production of galactosylated monoclonal antibodies (mAb). By means of targeted addition during the culture rather than at the beginning, the inhibition was further increased, while limiting detrimental effects on both growth and productivity. High-throughput screening in 96-deepwell plates showed that spermine and L-ornithine also reduced the level of galactosylation. On the other hand, exploratory screening of a variety of potentially disulfide-bridge-reducing agents highlighted that the inherent low-molecular-species level of the proprietary platform cell culture process was likely due to favored reduction. This hypothesis was reinforced by the observation that supplementation of cysteine and N-acetylcysteine promoted fragmentation. Additionally, fragmentation decreased with higher protein expression.
At that point, aiming to improve the efficiency in process development, a rational experimental design method was developed to identify and to define the optimal concentration range of quality modulating compounds by calling on a combination of high throughput fed-batch testing and multivariate data analysis. Seventeen medium supplements were tested in five parallel 96-deepwell plate experiments. The selection process of promising modulators for the follow-up experiment in shake tubes consisted in a three-step procedure, including principal component analysis, quantitative evaluation of their performance with respect to the specifications for biosimilarity and selection following a hierarchical order of decisions using a decision tree. The method resulted in a substantial improvement of the targeted glycosylation profile in only two experimental rounds. Subsequent development stages, namely validation and transfer to industrial-scale facilities require tight control of product quality. Accordingly, further mechanistic understanding of the underlying processes was acquired by non-targeted metabolomic profiling of a CHO cell line expressing a mAb cultured in four distinct process formats. Univariate analysis of intra- and extracellular metabolite and temporal glycosylation profiles provided insights in various pathways. The numerous of parameters were the main driver to carry out principal component analysis, and then, using the methodology of partial-least-square (PLS) projection on latent structures, a multivariate model was built to correlate the extracellular data with the distinct glycosylation profiles. The PLS observation model proved to be reliable and showed its great benefit for glycan pattern control in routine manufacturing, especially at large scale. Rather than relying on post-production interpretation of glycosylation results, glycosylation can be predicted in real-time based on the extracellular metabolite levels in the bioreactor.
Finally, for the bioactivity assessment of the glycan differences between the biosimilar and the reference medicinal product (RMP), the health agencies may ask for in the drug registration process, extended ranges of glycan variants need to be generated so that the in vitro assays pick up the changes. The developed glycosylation modulator library enabled the generation of extreme glycosylation variants, including high mannose, afucosylated, galactosylated as well as sialic acid species of both a mAb and an antibody fusion molecule with three N-glycosylation sites. Moreover, to create increased variety, enzymatic glycoengineering was explored for galactosylation and sialylation. The glyco variants induced significant responses in the respective in vitro biological activity assays. The data of this work highlight the immense potential of cell culture medium optimization to adjust product quality. Medium and feed supplementation of a variety of compounds resulted in reproducible and important changes of the product quality profile of both mAbs and a fusion antibody. In addition to the intermediate modulation ranges that largely met the requirements for new-biological-entity and biosimilar development, medium supplementation even enabled quick and straightforward generation of extreme glycan variants suitable for biological activity testing.
New antimycotic drugs are challenging to find, as potential target proteins may have close human orthologs. We here focus on identifying metabolic targets that are critical for fungal growth and have minimal similarity to targets among human proteins. We compare and combine here: (I) direct metabolic network modeling using elementary mode analysis and flux estimates approximations using expression data, (II) targeting metabolic genes by transcriptome analysis of condition-specific highly expressed enzymes, and (III) analysis of enzyme structure, enzyme interconnectedness (“hubs”), and identification of pathogen-specific enzymes using orthology relations. We have identified 64 targets including metabolic enzymes involved in vitamin synthesis, lipid, and amino acid biosynthesis including 18 targets validated from the literature, two validated and five currently examined in own genetic experiments, and 38 further promising novel target proteins which are non-orthologous to human proteins, involved in metabolism and are highly ranked drug targets from these pipelines.
Serine/threonine kinase PknB and its corresponding phosphatase Stp are important regulators of many cell functions in the pathogen S. aureus. Genome-scale gene expression data of S. aureus strain NewHG (sigB\(^+\)) elucidated their effect on physiological functions. Moreover, metabolic modelling from these data inferred metabolic adaptations. We compared wild-type to deletion strains lacking pknB, stp or both. Ser/Thr phosphorylation of target proteins by PknB switched amino acid catabolism off and gluconeogenesis on to provide the cell with sufficient components. We revealed a significant impact of PknB and Stp on peptidoglycan, nucleotide and aromatic amino acid synthesis, as well as catabolism involving aspartate transaminase. Moreover, pyrimidine synthesis was dramatically impaired by stp deletion but only slightly by functional loss of PknB. In double knockouts, higher activity concerned genes involved in peptidoglycan, purine and aromatic amino acid synthesis from glucose but lower activity of pyrimidine synthesis from glucose compared to the wild type. A second transcriptome dataset from S. aureus NCTC 8325 (sigB\(^−\)) validated the predictions. For this metabolic adaptation, PknB was found to interact with CdaA and the yvcK/glmR regulon. The involved GlmR structure and the GlmS riboswitch were modelled. Furthermore, PknB phosphorylation lowered the expression of many virulence factors, and the study shed light on S. aureus infection processes.
The human-pathogenic bacterium Salmonella enterica adjusts and adapts to different environments while attempting colonization. In the course of infection nutrient availabilities change drastically. New techniques, “-omics” data and subsequent integration by systems biology improve our understanding of these changes. We review changes in metabolism focusing on amino acid and carbohydrate metabolism. Furthermore, the adaptation process is associated with the activation of genes of the Salmonella pathogenicity islands (SPIs). Anti-infective strategies have to take these insights into account and include metabolic and other strategies. Salmonella infections will remain a challenge for infection biology.