Metabolic engineering under uncertainty. I: framework development

Standard bioprocess conditions have been widely applied for the microbial conversion of raw material to essential industrial products. Successful metabolic engineering (ME) strategies require a comprehensive framework to manage the complexity embedded in cellular metabolism, to explore the impacts of bioprocess conditions on the cellular responses, and to deal with the uncertainty of the physiochemical parameters. We have recently developed a computational and statistical framework that is based on Metabolic Control Analysis and uses a Monte Carlo method to simulate the uncertainty in the values of the system parameters [Wang, L., Birol, I., Hatzimanikatis, V., 2004. Metabolic control analysis under uncertainty: framework development and case studies. Biophys. J. 87(6), 3750-3763]. In this work, we generalize this framework to incorporate the central cellular processes, such as cell growth, and different bioprocess conditions, such as different types of bioreactors. The framework provides the mathematical basis for the quantification of the interactions between intracellular metabolism and extracellular conditions, and it is readily applicable to the identification of optimal ME targets for the improvement of industrial processes [Wang, L., Hatzimanikatis, V., 2005. Metabolic engineering under uncertainty. II: analysis of yeast metabolism. Submitted].     

The Impact of Clickers Instruction on Cognitive Loads and Listening and Speaking Skills in College English Class

Clickers might own a bright future in China if properly introduced although they have not been widely acknowledged as an effective tool to facilitate English learning and teaching in Chinese contexts. By randomly selecting participants from undergraduates in a university in China over four academic years, this study aims to identify the impact of clickers on college English listening and speaking skills, and differences in cognitive loads between clickers and traditional multimedia assisted instruction modes. It was concluded that in China''s college English class, compared with multimedia assisted instruction, (1) clickers could improve college English listening skills; (2) clickers could improve college English speaking skills; and (3) clickers could reduce undergraduates'' cognitive loads in College English Class. Reasons for the results and defects in this study were also explored and discussed, based on learning, teaching and cognitive load theories. Some Suggestions for future research were also raised.     

Yeast systems biotechnology for the production of heterologous proteins

Systems biotechnology has been established as a highly potent tool for bioprocess development in recent years. The applicability to complex metabolic processes such as protein synthesis and secretion, however, is still in its infancy. While yeasts are frequently applied for heterologous protein production, more progress in this field has been achieved for bacterial and mammalian cell culture systems than for yeasts. A critical comparison between different protein production systems, as provided in this review, can aid in assessing the potentials and pitfalls of applying systems biotechnology concepts to heterologous protein producing yeasts. Apart from modelling, the methodological basis of systems biology strongly relies on postgenomic methods. However, this methodology is rapidly moving so that more global data with much higher sensitivity will be achieved in near future. The development of next generation sequencing technology enables an unexpected revival of genomic approaches, providing new potential for evolutionary engineering and inverse metabolic engineering.     

Evaluating theories of bird song learning: implications for future directions

Studies of birdsong learning have stimulated extensive hypotheses at all levels of behavioral and physiological organization. This hypothesis building is valuable for the field and is consistent with the remarkable range of issues that can be rigorously addressed in this system. The traditional instructional (template) theory of song learning has been challenged on multiple fronts, especially at a behavioral level by evidence consistent with selectional hypotheses. In this review I highlight the caveats associated with these theories to better define the limits of our knowledge and identify important experiments for the future. The sites and representational forms of the various conceptual entities posited by the template theory are unknown. The distinction between instruction and selection in vocal learning is not well established at a mechanistic level. There is as yet insufficient neurophysiological data to choose between competing mechanisms of error-driven learning and reinforcement learning. Both may obtain for vocal learning. The possible role of sleep in acoustic or procedural memory consolidation, while supported by some physiological observations, does not yet have support in the behavioral literature. The remarkable expansion of knowledge in the past 20 years and the recent development of new technologies for physiological and behavioral experiments should permit direct tests of these theories in the coming decade.     

Hybrid semi-parametric mathematical systems: bridging the gap between systems biology and process engineering

Systems biology is an integrative science that aims at the global characterization of biological systems. Huge amounts of data regarding gene expression, proteins activity and metabolite concentrations are collected by designing systematic genetic or environmental perturbations. Then the challenge is to integrate such data in a global model in order to provide a global picture of the cell. The analysis of these data is largely dominated by nonparametric modelling tools. In contrast, classical bioprocess engineering has been primarily founded on first principles models, but it has systematically overlooked the details of the embedded biological system. The full complexity of biological systems is currently assumed by systems biology and this knowledge can now be taken by engineers to decide how to optimally design and operate their processes. This paper discusses possible methodologies for the integration of systems biology and bioprocess engineering with emphasis on applications involving animal cell cultures. At the mathematical systems level, the discussion is focused on hybrid semi-parametric systems as a way to bridge systems biology and bioprocess engineering.     

Metabolic and bioprocess engineering for production of selenized yeast with increased content of seleno-methylselenocysteine

Specific Se-metabolites have been recognized to be the main elements responsible for beneficial effects of Se-enriched diet, and Se-methylselenocysteine (SeMCys) is thought to be among the most effective ones. Here we show that an engineered Saccharomyces cerevisiae strain, expressing a codon optimized heterologous selenocysteine methyltransferase and endowed with high intracellular levels of S-adenosyl-methionine, was able to accumulate SeMCys at levels higher than commercial selenized yeasts. A fine tuned carbon- and sulfate-limited fed-batch bioprocess was crucial to achieve good yields of biomass and SeMCys. Through the coupling of metabolic and bioprocess engineering we achieved a ～24-fold increase in SeMCys, compared to certified reference material of selenized yeast. In addition, we investigated the interplay between sulfur and selenium metabolism and the possibility that redox imbalance occurred along with intracellular accumulation of Se. Collectively, our data show how the combination of metabolic and bioprocess engineering can be used for the production of selenized yeast enriched with beneficial Se-metabolites.     

Bioprocess engineering: now and beyond 2000

Abstract: Bioprocess engineering may be defined as the translation of life-science discoveries into practical products, processes, or systems capable of serving the needs of society. It is a critical link from discovery to commercialization. Current bioprocess engineering is primarily focused on biopharmaceutical products of high dollar value per gram such as erythropoietin or growth hormones. However, other products of current interest include ethanol, amino acids, organic acids, antibiotics, and specialty chemicals. Current challenges for increased use of bioprocesses for producing bulk and semi-bulk chemicals include both technical and infrastructural barriers. Technical barriers are easy to identify and at times can be overcome by engineering improvements or changes brought about radical developments in science (e.g. recombinant DNA). Infrastructural barriers, such as raw-material substitutions or educational limitations are more difficult to define and change. Recently the National Academy of Sciences examined barriers to bioprocess engineering and issued a report entitled: "Putting Biotechnology to Work: Bioprocess Engineering". A key recommendation was the establishment of a coordinated long-range plan of research, development, training and education in bioprocess engineering involving participation by industry, academe and the federal government. The report was the first national analysis devoted entirely to bioprocess engineering and covered new topics such as space bioprocess engineering. Other topics covered by the author include the current state of the US chemical industry and future directions in three promising areas of bioprocess engineering environmental bioprocess engineering, marine bioprocess engineering and microsystem bioprocess engineering.     

Dynamic metabolic engineering for increasing bioprocess productivity

Yield and productivity are critical for the economics and viability of a bioprocess. In metabolic engineering, the main objective is the increase of a target metabolite production through genetic engineering. However, genetic manipulations usually result in lower productivity due to growth impairment. Previously, it has been shown that the dynamic control of metabolic fluxes can increase the amount of product formed in an anaerobic batch fermentation of Escherichia coli. In order to apply this control strategy, the genetic toggle switch is used to manipulate key fluxes of the metabolic network. We have designed and analyzed an integrated computational model for the dynamic control of gene expression. This controller, when coupled to the metabolism of E. coli, resulted in increased bioprocess productivity.     

Peer instruction enhanced meaningful learning: ability to solve novel problems

Students must be able to interpret, relate, and incorporate new information with existing knowledge and apply the new information to solve novel problems. Peer instruction is a cooperative learning technique that promotes critical thinking, problem solving, and decision-making skills. Therefore, we tested the hypothesis that peer instruction enhances meaningful learning or transfer, defined as the student's ability to solve novel problems or the ability to extend what has been learned in one context to new contexts. To test this hypothesis, our undergraduate exercise physiology class of 38 students was randomly divided into two groups: group A (n = 19) and group B (n = 19). A randomized crossover design in which students either answered questions individually or during peer instruction was used to control for time and order effects. The first factor that influences meaningful learning is the degree of mastery of the original material. Importantly, peer instruction significantly enhanced mastery of the original material. Furthermore, the student's ability to solve novel problems was significantly enhanced following peer instruction. Thus pausing two to three times during a 50-min class to allow peer instruction enhanced the mastery of the original material and enhanced meaningful learning, i.e., the student's ability to solve novel problems.     

Preservice Teacher Understanding and Vision of how to Teach Biological Evolution

The learning and teaching of biological evolution is conceptually challenging. To fully comprehend evolution, it is posited that individuals also need to understand the roles that the nature of science and situations of chance play in the process. The consistent detection of misconceptions of evolution suggests that new approaches to increasing understanding need to be explored. I predicted that preservice teachers’ ideas for teaching biological evolution could be influenced by three brief web-based interventions, one focused on the common misconceptions of evolution, one on the nature of science, and one on situations of uncertainty in the context of evolution. An experimental group received a combination of the three web-based tutorials while a control group received the misconceptions and nature of science instruction and a time on task filler tutorial. Participants were directed to develop a lesson idea applying the knowledge they learned from the tutorials. The lesson ideas were examined for evidence of the influence of the web-based instruction, participant understanding and misconceptions of concepts, and their ideas about teaching evolution. The results of this study revealed that the participating preservice teachers held a wide range of conception and misconception of evolution, were somewhat influenced by the tutorials, and had an array of visions for teaching evolution. The outcomes support the need for further investigation into the multifaceted nature of preparing preservice teachers to teach evolution.     

Enzyme technology and bioprocess engineering

The impact of directed evolution and site-specific mutagenesis on the industrial utility of enzymatic catalysis through the modification of enzyme structure and function is clearly an important area of research in bioprocess engineering. High-throughput screening for novel or improved enzyme activities, both by more efficiently exploring nature's diversity and by creating new diversity in the test tube, allows new bioprocesses to be developed. Similarly, innovations in enzyme technology that address novel ways to apply enzymes in bioprocesses also have an impact on bioprocess engineering. Several recent developments have been made in this latter aspect of bioprocess engineering.     

Micro biochemical engineering to accelerate the design of industrial-scale downstream processes for biopharmaceutical proteins

The article examines how a small set of easily implemented micro biochemical engineering procedures combined with regime analysis and bioprocess models can be used to predict industrial scale performance of biopharmaceutical protein downstream processing. This approach has been worked on in many of our studies of individual operations over the last 10 years and allows preliminary evaluation to be conducted much earlier in the development pathway because of lower costs. It then permits the later large scale trials to be more highly focused. This means that the risk of delays during bioprocess development and of product launch are reduced. Here we draw the outcomes of this research together and illustrate its use in a set of typical operations; cell rupture, centrifugation, filtration, precipitation, expanded bed adsorption, chromatography and for common sources, E. coli, two yeasts and mammalian cells (GS-NSO). The general approach to establishing this method for other operations is summarized and new developments outlined. The technique is placed against the background of the scale-down methods that preceded it and complementary ones that are being examined in parallel. The article concludes with a discussion of the advantages and limitations of the micro biochemical engineering approach versus other methods.     

Know-how and know-why in biochemical engineering

This contribution analyzes the position of biochemical engineering in general and bioprocess engineering particularly in the force fields between fundamental science and applications, and between academia and industry. By using culture technology as an example, it can be shown that bioprocess engineering has moved slowly but steadily from an empirical art concerned with mainly know-how to a science elucidating the know-why of culture behavior. Highly powerful monitoring tools enable biochemical engineers to understand and explain quantitatively the activity of cellular culture on a metabolic basis. Among these monitoring tools are not just semi-online analyses of culture broth by HPLC, GC and FIA, but, increasingly, also noninvasive methods such as midrange IR, Raman and capacitance spectroscopy, as well as online calorimetry. The detailed and quantitative insight into the metabolome and the fluxome that bioprocess engineers are establishing offers an unprecedented opportunity for building bridges between molecular biology and engineering biosciences. Thus, one of the major tasks of biochemical engineering sciences is not developing new know-how for industrial applications, but elucidating the know-why in biochemical engineering by conducting research on the underlying scientific fundamentals.     

Combining genetic engineering and bioprocess concepts for improved phenylpropanoid production

The group of natural aromatic compounds known as phenylpropanoids has diverse applications, but current methods of production which are largely based on synthesis from petrochemicals or extraction from agricultural biomass are unsustainable. Bioprocessing is a promising alternative, but improvements in production titers and rates are required to make this method profitable. Here the recent advances in genetic engineering and bioprocess concepts for the production of phenylpropanoids are presented for the purpose of identifying successful strategies, including adaptive laboratory evolution, enzyme engineering, in-situ product removal, and biocatalysis. The pros and cons of bacterial and yeast hosts for phenylpropanoid production are discussed, also in the context of different phenylpropanoid targets and bioprocess concepts. Finally, some broad recommendations are made regarding targets for continued improvement and areas requiring specific attention from researchers to further improve production titers and rates.     

"This Is Active Learning": Theories of Language, Learning, and Social Relations in the Transmission of Khmer Literacy

This article examines the role language ideologies played in the changing instructional and social organization of Khmer literacy classes in Long Beach, California. Language and language use in classrooms have been carefully examined over the years, but analysis of how language attitudes influence pedagogical theory and practice has been largely neglected. This article reveals one way in which language ideologies engage with local theories of learning to shape not only pedagogies informing instruction but also social relations within classes.     

我国工业生物过程工程研究进展

工业生物技术的进步离不开工业生物过程工程研究的不断深入及发展,我国作为工业发酵大国在工业生物技术由实验室向产业化转化过程中面对诸多挑战,由此而逐渐发展起来的我国工业生物过程工程发展先后经历了多个阶段,伴随着不同阶段的发展,我国的工业生物技术水平得到不断的提升。本文重点回顾了近三、四十年来我国工业生物过程工程发展的历程,包括早期由化工过程研究引入的动力学模型化研究、基于过程控制的优化理论与方法的应用、基于过程在线监测技术发展起来的参数相关性分析方法、过程多尺度理论的建立、基于现代固态发酵的新型固态发酵罐的设计及优化技术发展等。通过对生物过程工程发展历程的回顾对先进工业生物过程发展面临的技术难题及由此引出的未来发展重点方向进行了探讨。     

Prospects for an HIV Vaccine: Conventional Approaches and DNA Immunization

Abstract

Microbial transglutaminase is an important enzyme in food processing for improving protein properties by catalyzing the cross-linking of proteins. Recently, this enzyme has been shown to exhibit wider potential application in tissue engineering, textiles and leather processing, site-specific protein conjugation and wheat gluten allergy reduction. The production of microbial transglutaminase has been significantly improved thanks to advances in bioprocess engineering and genetic engineering during the last three decades. More recently, studies on the biological mechanism of transglutaminase synthesis have further contributed towards the understanding of microbial transglutaminase production by Streptomyces. This will further facilitate improving the production of recombinant microbial transglutaminase. In this paper, we will review the progress in bioprocess engineering and genetic engineering in microbial transglutaminase production. We will highlight our understanding of the biological mechanisms of microbial transglutaminase synthesis, including biotechnological approaches used based on these biological mechanisms as a way of improving transglutaminase production.We address in addition the future research needs for microbial transglutaminase production.     

Applications of PAT‐Process Analytical Technology in Recombinant Protein Processes with Escherichia coli

Monitoring of bioprocesses and thus observation and identification of such processes is one of the main aims of bioprocess engineering. It is of vital importance in bioprocess development to improve the overall productivity by avoiding unintentional limitations to ensure not only optimal process conditions but also the observation of established production processes. Furthermore, reproducibility needs to be improved and final product quality and quantity be guaranteed. Therefore, an advanced monitoring and control system has been developed, which is based on different in‐line, on‐line and at‐line measurements for substrates and products. Observation of cell viability applying in‐line radio frequency impedance measurement and on‐line determination of intracellular recombinant target protein using the reporter protein T‐Sapphire GFP based on in‐line fluorescence measurement show the ability for the detection of critical process states. In this way, the possibility for the on‐line recognition of optimal harvest times arises and disturbances in the scheduled process route can be perceived.