抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Virus-like particles (VLPs) are multiprotein structures that mimic the organization and conformation of authentic native viruses but lack the viral genome, potentially yielding safer and cheaper vaccine candidates. A handful of prophylactic VLP-based vaccines is currently commercialized worldwide: GlaxoSmithKline's Engerix (hepatitis B virus) and Cervarix (human papillomavirus), and Merck and Co., Inc.'s Recombivax HB (hepatitis B virus) and Gardasil (human papillomavirus) are some examples. Other VLP-based vaccine candidates are in clinical trials or undergoing preclinical evaluation, such as, influenza virus, parvovirus, Norwalk and various chimeric VLPs. Many others are still restricted to small-scale fundamental research, despite their success in preclinical tests. This article focuses on the essential role of VLP technology in new-generation vaccines against prevalent and emergent diseases. The implications of large-scale VLP production are discussed in the context of process control, monitorization and optimization. The main up- and down-stream technical challenges are identified and discussed accordingly. Successful VLP-based vaccine blockbusters are briefly presented concomitantly with the latest results from clinical trials and the recent developments in chimeric VLP-based technology for either therapeutic or prophylactic vaccination.

Virus-like particles in vaccine development

The organization, regulation and dynamical responses of biological systems are in many cases too complex to allow intuitive predictions and require the support of mathematical modeling for quantitative assessments and a reliable understanding of system functioning. All steps of constructing mathematical models for biological systems are challenging, but arguably the most difficult task among them is the estimation of model parameters and the identification of the structure and regulation of the underlying biological networks. Recent advancements in modern high-throughput techniques have been allowing the generation of time series data that characterize the dynamics of genomic, proteomic, metabolic, and physiological responses and enable us, at least in principle, to tackle estimation and identification tasks using 'top-down' or 'inverse' approaches. While the rewards of a successful inverse estimation or identification are great, the process of extracting structural and regulatory information is technically difficult. The challenges can generally be categorized into four areas, namely, issues related to the data, the model, the mathematical structure of the system, and the optimization and support algorithms. Many recent articles have addressed inverse problems within the modeling framework of Biochemical Systems Theory (BST). BST was chosen for these tasks because of its unique structural flexibility and the fact that the structure and regulation of a biological system are mapped essentially one-to-one onto the parameters of the describing model. The proposed methods mainly focused on various optimization algorithms, but also on support techniques, including methods for circumventing the time consuming numerical integration of systems of differential equations, smoothing overly noisy data, estimating slopes of time series, reducing the complexity of the inference task, and constraining the parameter search space. Other methods targeted issues of data preprocessing, detection and amelioration of model redundancy, and model-free or model-based structure identification. The total number of proposed methods and their applications has by now exceeded one hundred, which makes it difficult for the newcomer, as well as the expert, to gain a comprehensive overview of available algorithmic options and limitations. To facilitate the entry into the field of inverse modeling within BST and related modeling areas, the article presented here reviews the field and proposes an operational 'work-flow' that guides the user through the estimation process, identifies possibly problematic steps, and suggests corresponding solutions based on the specific characteristics of the various available algorithms. The article concludes with a discussion of the present state of the art and with a description of open questions.

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Recent Developments in Parameter Estimation and Structure Identification of Biochemical and Genomic Systems

effector domain. In the presence of the allosteric effector, acetyl- CoA, the biotin moiety transfers the carboxy group between the biotin carboxylase domain active site on one polypeptide chain and the carboxyltransferase active site on the adjacent antiparallel polypeptide chain. In addition, thebonafiderole of PCin the non- gluconeogenic tissues has been studied using a combination of classical biochemistry and genetic approaches. The first cloning of the promoter of the PC gene in mammals and subsequent transcriptional studies reveal some key cognate transcription factors regulating tissue-specific expression. The present review summarizes these advances and also offers some prospects in terms of future directions for the study of this important enzyme.

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Structure, mechanism and regulation of pyruvate carboxylase.

Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review

The cell density effect (i.e., the drop in the specific productivity in the baculovirus-insect cells expression system when cells are infected at high cell densities) has been extensively described in the literature. In this article, a model for the central metabolism of serum-free suspension cultures of Spodoptera frugiperda Sf9 cells is proposed and used to investigate the metabolic basis for this phenomenon. The main metabolic pathways (glycolysis, pentose phosphate pathway, tricarboxylic acids cycle, glutaminolysis, and amino acids metabolism), cellular growth and energetics were considered. The analysis of the stoichiometric model allowed further understanding of the interplay of the consumption of carbon and nitrogen sources in insect cells. Moreover, metabolic flux analysis revealed that Sf9 cells undergo a progressive inhibition of central metabolism when grown to high cell densities, for which the incorporation of amino acids carbon backbones into the TCA cycle (mainly glutamine) and the down-regulation of glycolysis are partially responsible. Following infection by baculovirus and cellular division arrest, central energy metabolism depended on the infection strategy chosen (cell concentration at the moment of infection and multiplicity of infection), inhibition being observed at high cell densities. Interestingly, the energetic status of the culture correlated with the decrease in cellular production of baculovirus, meaning that there is room for process optimization through the application of metabolic engineering techniques.

Cell density effect in the baculovirus-insect cells system: a quantitative analysis of energetic metabolism.

The main objective of the present study was to investigate the use of in situ 2D fluorometry for monitoring key bioprocess variables in mammalian cell cultures, namely the concentration of viable cells and the concentration of recombinant proteins. All studies were conducted using a recombinant Baby Hamster Kidney (BHK) cell line expressing a fusion glycoprotein IgG1-IL2 cultured in batch and fed-batch modes. It was observed that the intensity of fluorescence signals in the excitation/emission wavelength range of amino acids, vitamins and NAD(P)H changed along culture time, although the dynamics of single fluorophors could not be correlated with the dynamics of the target state variables. Therefore, multivariate chemometric modeling was adopted as a calibration methodology. 2D fluorometry produced large volumes of redundant spectral data, which were first filtered by principal components analysis (PCA). Then, a partial least squares (PLS) regression was applied to correlate the reduced fluorescence maps with the target state variables. Two validation strategies were used to evaluate the predictive capacity of the developed PLS models. Accurate estimations of viable cells density (r(2) = 0.95; 99.2% of variance captured in the training set; r(2) = 0.91; 97.7% of variance captured in the validation set) and of glycoprotein concentration (r(2) = 0.99 and 99.7% of variance captured in the training set; r(2) = 0.99 and 99.3% of variance captured in the validation set) were obtained over a wide range of reactor operation conditions. The results presented herein confirm that 2D fluorometry constitutes a reliable methodology for on-line monitoring of viable cells and recombinant protein concentrations in mammalian cell cultures.

In situ 2D fluorometry and chemometric monitoring of mammalian cell cultures.

Improving baculovirus production at high cell density through manipulation of energy metabolism.

Chinese hamster ovary (CHO) cells are preferred hosts for the production of recombinant biopharmaceuticals. Efforts to optimize these bioprocesses have largely relied on empirical experience and our knowledge of cellular behavior in culture is incomplete. More recently, comprehensive investigations of metabolic network operation have started to be used to uncover traits associated with optimal growth and recombinant protein production. In this work, we used (1) H-nuclear magnetic resonance ((1) H-NMR) to analyze the supernatants of glutamine-synthetase (GS)-CHO cell clones expressing variable amounts of an IgG4 under control and butyrate-treated conditions. Exometabolomic data revealed accumulation of several metabolic by-products, indicating inefficiencies at different metabolic nodes. These data were contextualized in a detailed network and the cellular fluxomes estimated through metabolic flux analysis. This approach allowed comparing metabolic activity across different clones, growth phases and culture conditions, in particular the efficiency pertaining to carbon lost to glycerol and lactate accumulation and the characteristic nitrogen metabolism involving high asparagine and serine uptake rates. Importantly, this study shows that early butyrate treatment has a marked effect on sustaining high nutrient consumption along culture time, being more pronounced during the stationary phase when extra energy generation and biosynthetic activity is fueled to increase IgG formation. Collectively, the information generated contributes to deepening our understanding of CHO cells metabolism in culture, facilitating future design of improved bioprocesses.

Metabolic signatures of GS‐CHO cell clones associated with butyrate treatment and culture phase transition

Chinese hamster ovary (CHO) cells are the predominant host for production of therapeutic glycoproteins. In particular, the glutamine-synthetase (GS) expression system has been widely used in the biopharmaceutical industry for efficient selection of high-yielding clones. However, much remains unclear on how metabolic wiring affects culture performance. For instance, asparagine and serine have been observed to be the largest nitrogen sources taken up by GS-CHO cells, but their roles in biosynthesis and energy generation are poorly understood. In this work, a comprehensive profiling of extracellular metabolites coupled with an analysis of intracellular label distributions after 1-(13) C-pyruvate supplementation were used to trace metabolic rearrangements in different scenarios of asparagine and serine availability. The absence of asparagine in the medium caused growth arrest, and was associated with a dramatic increase in pyruvate uptake, a higher ratio of pyruvate carboxylation to dehydrogenation and an inability for de novo asparagine synthesis. The release of ammonia and amino acids such as aspartate, glutamate, and alanine were deeply impacted. This confirms asparagine to be essential for these GS-CHO cells as the main source of intracellular nitrogen as well as having an important anaplerotic role in TCA cycle activity. In turn, serine unavailability also negatively affected culture growth while triggering its de novo synthesis, confirmed by label incorporation coming from pyruvate, and reduced glycine and formate secretion congruent with its role as a precursor in the metabolism of one-carbon units. Overall, these results unfold important insights into GS-CHO cells metabolism that lay a clearer basis for fine-tuning bioprocess optimization.

Nuno Carinhas

Papers

Cell density effect in the baculovirus-insect cells system: a quantitative analysis of energetic metabolism.

In situ 2D fluorometry and chemometric monitoring of mammalian cell cultures.

Improving baculovirus production at high cell density through manipulation of energy metabolism.

Metabolic signatures of GS‐CHO cell clones associated with butyrate treatment and culture phase transition

Metabolic responses of CHO cells to limitation of key amino acids