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Synthetic Biology, as an emerging discipline, has gained widespread attention and is developing rapidly, profoundly impacting the fields of life sciences and biotechnology. Concurrently, as emerging engineering education programs take shape, accelerated cultivation of multifaceted innovative talents represents a new mission and imperative for higher education in China. In the context of the flourishing development of Synthetic Biology, East China University of Science and Technology has established a curriculum cluster in Synthetic Biology, focusing on microbiological drug discovery and biomanufacturing. The teaching team initially reviewed the curriculum system related to Synthetic Biology and its upstream and downstream courses. Subsequently, they expanded the core courses in Synthetic Biology, creating a curriculum cluster that encompasses not only the theoretical foundations and cutting-edge technologies but also integrates with related disciplines. Moreover, the curriculum cluster leverages lectures from renowned domestic and international professors in the State Key Laboratory of Bioreactor Engineering, and harnesses the rich resources of the Program of Introducing Talents of Discipline to Universities (the "111 plan"), aiming to enhance students' innovation capabilities. With the support of this curriculum cluster and teaching team, undergraduate students actively participate in international Synthetic Biology competitions like international genetic engineering machine competition (iGEM), consistently achieving gold awards. Furthermore, many students have applied for patents and made contributions to research paper publications. This work stands as a valuable exemplar for cultivating multifaceted talents with exceptional innovative capabilities.

Reducing lactate accumulation has always been a goal of the mammalian cell biotechnology industry. When animal cells are cultured in vitro , the accumulation of lactate is mainly the combined result of two metabolic pathways. On one hand, glucose generates lactate under the function of lactate dehydrogenase A (LDHA); on the other hand, lactate can be oxidized to pyruvate by LDHB or LDHC and re-enter the TCA cycle. This study comprehensively evaluated the effects of LDH manipulation on the growth, metabolism and human adenovirus (HAdV) production of human embryonic kidney 293 (HEK-293) cells, providing a theoretical basis for engineering the lactate metabolism in mammalian cells. By knocking out ldha gene and overexpression of ldhb and ldhc genes, the metabolic efficiency of HEK-293 cells was effectively improved, and HAdV production was significantly increased. Compared with the control cell, LDH manipulation promoted cell growth, reduced the accumulation of lactate and ammonia, significantly enhanced the efficiency of substrate and energy metabolism of cells, and significantly increased the HAdV production capacity of HEK-293 cells. Among these LDH manipulation measures, ldhc gene overexpression performed the best, with the maximum cell density increased by about 38.7%. The yield of lactate to glucose and ammonia to glutamine decreased by 33.8% and 63.3%, respectively; and HAdV titer increased by at least 16 times. In addition, the ATP production rate, ATP/O 2 ratio, ATP/ADP ratio and NADH content of the modified cell lines were increased to varying degrees, and the energy metabolic efficiency was significantly improved.

Artificial intelligence (AI) technology is booming up a new industrial revolution, and its successful application is rapidly spreading from the information industry to many other fields. The traditional fermentation industry also faces more opportunities and great challenges for reforming. First of all, the rapid development of synthetic biotechnology has greatly enhanced the availability and efficiency for obtaining high-performance strains, which poses great opportunities to the traditional fermentation optimization and scale-up technology. It is urgent to upgrade fermentation optimization technology to cope with the requirement for high-throughput verification of strain performance. Secondly, the development of fermentation equipment technology has laid a good foundation for advancing fermentation optimization technology. The application of AI technology, especially the digital twin and knowledge graph technology, will further boost the upgrade of the traditional fermentation technology. This review summarizes the challenges of fermentation optimization technology in the era of synthetic biology, the core technology of fermentation optimization and scale-up, the equipment technology of high-throughput fermentation, data visualization technology, as well as the application of digital twin and knowledge graph in fermentation optimization and scale-up. This review also prospects future industrial fermentation technology, and the associated new requirements for personnel training.

Microbiology is a key basic professional course for all the students specializing in biology, biotechnology and related majors. To date, microbiology is mainly taught in Chinese within colleges and universities in China. Development of a microbiology course that is taught in English may satisfy the diversified learning needs of the students and promote the "Double First-Class" initiative. We started to teach the microbiology course in English at the East China University of Science and Technology since 2016. This practice was associated with reform and innovation in the teaching methods and contents. The microbiology course taught in English greatly attracted the interest of the attending students and helped improve their professional English learning as well as scientific research. This course provided important support for fostering innovative professional first-class undergraduates under the context of the "Double First-Class" initiative.

Microbes are involved in every aspect of human life. Microbiology is a mandatory subject at the undergraduate level covering majors including life sciences, pharmacy, medicine, agriculture, forestry and food. Along with internationalization and development of the first-class disciplines, teaching microbiology courses in English is highly valued. Here we discuss how to conduct curriculum reform of microbiology teaching in English, and what are the advantages and challenges when teaching in English. The teaching system can be advanced by enhancing interdisciplinary communication so as to promote study and research for students and teachers. We take this practical exploration as an example to communicate with relevant teachers.

In the "Tutorial for outline of the healthy China 2030 plan", biomedicine was listed as a key planning and development area. Shanghai government also lists biomedicine as an emerging pillar industry. The rapid development of biomedicine industry put higher requirement for talents. Taking the idea of cross integration, mutually beneficial development, inheritance and innovation, the School of Biotechnology of East China University of Science and Technology organically integrates bioengineering and pharmaceutical majors to develop a new undergraduate engineering program of biomedicine, which specially reforms the talent training practice from the aspects of developing a "trinity teaching" standard system, a "three integration, three convergence" curriculum system, and a "three comprehensive education" innovative talent training system. We put forward the trinity of "value guidance, knowledge system, technology and non-technical core competence literacy" to foster emerging biomedicine engineering talents, and developed a comprehensive innovative talents training mode featured by "covering class-in and class-out, covering every student, and covering ideology and curriculum". Moreover, we established effective connections between courses and training goals, between general education courses and professional courses, and between top-notch talent training systems and training programs. Based on the achievements of teaching reform of the emerging engineering program "intelligent bio-manufacturing", the experience we obtained may provide ideas for development of the first-class bioengineering major in China.

Genome-scale metabolic network model (GSMM) is becoming an important tool for studying cellular metabolic characteristics, and remarkable advances in relevant theories and methods have been made. Recently, various constraint-based GSMMs that integrated genomic, transcriptomic, proteomic, and thermodynamic data have been developed. These developments, together with the theoretical breakthroughs, have greatly contributed to identification of target genes, systems metabolic engineering, drug discovery, understanding disease mechanism, and many others. This review summarizes how to incorporate transcriptomic, proteomic, and thermodynamic-constraints into GSMM, and illustrates the shortcomings and challenges of applying each of these methods. Finally, we illustrate how to develop and refine a fully integrated GSMM by incorporating transcriptomic, proteomic, and thermodynamic constraints, and discuss future perspectives of constraint-based GSMM.

Starting from participating the high-level professional competition, our school has built a talent training system with the spirit of "biomaker" and an innovative practical ability training system. Such system takes the interest of student as the starting point, and relies on the strong scientific research and teaching infrastructure. The programme gives full play to students' initiatives and enhances the scientific research literacy and comprehensive ability of undergraduates majoring in biotechnology. It is an effective exploration of the traditional university education model and meets the urgent demand for innovative talents training in the era of rapid development of life sciences.

Currently, biomanufacturing technology and industry are receiving worldwide attention. However, there are still great challenges on bioprocess optimization and scale-up, including: lacing the process detection methods, which makes it difficult to meet the requirement of monitoring of key indicators and parameters; poor understanding of cell metabolism, which arouses problems to rationally achieve process optimization and regulation; the reactor environment is very different across the scales, resulting in low efficiency of stepwise scale-up. Considering the above key issues that need to be resolved, here we summarize the key technological innovations of the whole chain of fermentation process, i.e., real-time detection-dynamic regulation-rational scale-up, through case analysis. In the future, bioprocess design will be guided by a full lifecycle in-silico model integrating cellular physiology (spatiotemporal multiscale metabolic models) and fluid dynamics (CFD models). This will promote computer-aided design and development, accelerate the realization of large-scale intelligent production and serve to open a new era of green biomanufacturing.

Bioreactors have been central in monoclonal antibodies and vaccines manufacturing by mammalian cells in suspension culture. Numerical simulation of five impeller combinations in a stirred bioreactor was conducted, and characteristics of velocity vectors, distributions of gas hold-up, distributions of shear rate in the bioreactor using 5 impeller combinations were numerically elucidated. In addition, genetically engineered CHO cells were cultivated in bioreactor installed with 5 different impeller combinations in fed-batch culture mode. The cell growth and antibody level were directly related to the maximum shear rate in the bioreactor, and the highest viable cell density and the peak antibody level were achieved in FBMI3 impeller combination, indicating that CHO cells are sensitive to shear force produced by impeller movement when cells were cultivated in bioreactor at large scale, and the maximum shear rate would play key roles in scaling-up of bioreactor at industrial scale.

China is now the largest and only producer of avermectin in the world. However, its current yield is still lower than other similar antibiotics. Therefore, we studied the effect of nitrogen on the growth and the synthesis ability of B1a to improve the overall yield. Nitrogen had significant effects on the cell activity, PMV of Streptomyces avermitilis and the synthesis of B1a in the middle and later phase of fermentation. Additional feeding yeast powder based on carbon-dioxide evolution rate in a 100-L bioreactor significantly improved the synthesis of B1a. The production of avermectin reached 8 697 mg/L, 26.9% higher than the original process. In short, this study will serve in production enhancement of avermectin at industrial production.

Industrial bioprocess is a complex systematic process and bio-manufacturing can be realized on the basis of understanding the metabolism process of living cells. In this article, the multi-scale optimization principle and practice of industrial fermentation process are reviewed, including multi-scale optimizing theory and equipment, on-line sensing technology for cellular macroscopic metabolism, and correlated analysis of physiological parameters. Furthermore, intelligent control of industrial bioprocess is further addressed, in terms of new sensing technology for intracellular physiological metabolism, big database establishment and data depth calculation, intelligent decision.

Isotope Dilution Mass Spectrometry (IDMS) is the most accurate method for high-throughput detection of intracellular metabolite concentrations, and the key is getting the corresponding fully uniformly(U) ¹³C-labeled metabolites to be measured. The conventional procedure for getting fully U ¹³C-labeled metabolites is through batch cultivation, but intracellular metabolites concentrations by this method are generally low. By applying U ¹³C-labeled glucose pulse, combined with fast sampling and quenching, mixture of fully U ¹³C-labeled intracellular metabolites was successfully extracted with higher concentration from Pichia pastoris G/DSEL fed with fully U ¹³C-labeled glucose as only carbon source. Quantitative results from liquid chromatography tandem mass spectrometry (LC-MS) and gas chromatography tandem mass spectrometry (GC-MS) show that concentrations of organic acids, sugar phosphates, amino acids and nucleotides were 2-10 folds higher than those without glucose pulse. Therefore, the glucose pulse method can efficiently improve the usage of fully U ¹³C-labeled glucose converting to ¹³C-labeled metabolites, and achieve the detection of intracellular metabolites with lower concentrate than the instrument detection limit.

A rapid quantitative evaluation method for Siraitia grosvenorii cells was successfully developed based on plant cells' capacitance value detected by a viable cell mass monitor and the cryopreservation of S. grosvenorii suspension cells was optimized. The survival rate of S. grosvenorii cells was quantitatively measured by viable cell mass monitor and 2, 3, 5-triphenyltetrazolium chloride (TTC). An optimum cryoprotectant recipe is that the growth medium contained 10% sucrose and 10% DMSO. The experimental results also showed higher cell survival rates and cell viabilities were achieved when suspension cells were treated with pretreatment of 0.2 mol/L sucrose. With the increase of concentration of sucrose, however, the cell survival rate was decreased. And the cell survival rate represented a bell shape with the increase of pretreatment time. The highest cell survival rate and cell viability were obtained with the 9 h' s pretreatment. In addition, there was a good correlation between the cell survival rate measured by cell recovery test and that measured by viable cell mass monitor, while there were no significant differences in the cell morphology and the ability of mogrosides V production by S. grosvenorii cells cultured in suspension after cryopreservation. Therefore, the evaluation method developed based on the viable cell mass monitor has good feasibility and reliability.

Aspergillus niger, as an important industrial fermentation strain, is widely applied in the production of organic acids and industrial enzymes. With the development of diverse omics technologies, the data of genome, transcriptome, proteome and metabolome of A. niger are increasing continuously, which declared the coming era of big data for the research in fermentation process of A. niger. The data analysis from single omics and the comparison of multi-omics, to the integrations of multi-omics based on the genome-scale metabolic network model largely extends the intensive and systematic understanding of the efficient production mechanism of A. niger. It also provides possibilities for the reasonable global optimization of strain performance by genetic modification and process regulation. We reviewed and summarized progress in omics research of A. niger, and proposed the development direction of omics research on this cell factory.

A rapid and accurate determination method of lipids in microalgae plays a significant role in an efficient breeding process for high-lipid production of microalgae. Using low field nuclear magnetic resonance (LF-NMR), we developed a direct quantitative method for cellular lipids in Chlorella protothecoides cells. The LF-NMR signal had a linear relationship with the lipid content in the microalgae cells for both dry cell samples and algal broth samples (R2 > 0.99). These results indicated that we could use this method for accurate determination of microalgal lipids. Although LF-NMR is a rapid and easy lipid determination method in comparison to conventional methods, low efficiency would limit its application in high throughput screening. Therefore, we developed a novel combined high throughput screening method for high-lipid content mutants of C. protothecoides. Namely, we initially applied Nile red staining method for semi-quantification of lipid in the pre-screening process, and following with LF-NMR method for accurate lipid determination in re-screening process. Finally, we adopted this novel screening method in the breeding process of high-lipid content heterotrophic cells of C. protothecoides. From 3 098 mutated strains 108 high-lipid content strains were selected through pre-screening process, and then 9 mutants with high-lipid production were obtained in the re-screening process. In a consequence, with heterotrophical cultivation of 168 h, the lipid concentration could reach 5 g/L, and the highest lipid content exceeded 20% (W/W), which was almost two-fold to that of the wild strain. All these results demonstrated that the novel breeding process was reliable and feasible for improving the screening efficiency.

Industrial bioprocess is one of the most important research fields supports the promoting of biological manufacturing industry in China, and guarantees the implementation of bioscience and biotechnology research results into the industrial applications. For improving the interconnection between academic researchers and industrial stuffs and pushing research achievement into industrial implementation, bioprocess modelling and control committee of Chinese Society for Microbiology organized two tandem conferences separately in 2012 and 2014 on the topic of "Industrial bioprocess technology", focusing mainly technique front of industrial bioprocess. A special session on industrial technique applications was hold to stimulate cooperation. The conference received many good submissions from academic and industrial sectors. This special issue is based on selected excellent papers from the submissions, together with free submissions. The special issue consists of reviews and original papers, mainly involving the aspects closely related to the bio-industrial sectors including, i) high yield strain constructing and high throughput screening; ii) optimization and modification of industrial enzymes, and iii) bioprocess modelling and high efficient scale-up method.

Carbon-limited continuous culture was used to study the relationship between the growth of Aspergillus niger and the production of glucoamylase. The result showed that when the specific growth rate was lower than 0.068 h(-1), the production of glucoamylase was growth-associated, when the specific growth rate was higher than 0.068 h(-1), the production of glucoamylase was not growth-associated. Based on the result of continuous culture, the Monod dynamics model of glucose consumption of A. niger was constructed, Combining Herbert-Pirt equation of glucose and oxygen consumption with Luedeking-Piret equation of enzyme production, the black-box model of Aspergillus niger for enzyme production was established. The exponential fed-batch culture was designed to control the specific growth rate at 0.05 h(-1) by using this model and the highest yield for glucoamylase production by A. niger reached 0.127 g glucoamylase/g glucose. The black-box model constructed in this study successfully described the glucoamylase production by A. niger and the result of the model fitted the measured value well. The black-box model could guide the design and optimization of glucoamylase production by A. niger.

The advances of industrial biotechnology highly depend on the development of industrial bioprocess researches. In China, we are facing several challenges because of a huge national industrial fermentation capacity. The industrial bioprocess development experienced several main stages. This work mainly reviews the development of the industrial bioprocess in China during the past 30 or 40 years: including the early stage kinetics model study derived from classical chemical engineering, researching method based on control theory, multiple-parameter analysis techniques of on-line measuring instruments and techniques, and multi-scale analysis theory, and also solid state fermentation techniques and fermenters. In addition, the cutting edge of bioprocess engineering was also addressed.

Filamentous fungi are widely used in industrial fermentation. Particular fungal morphology acts as a critical index for a successful fermentation. To break the bottleneck of morphological analysis, we have developed a reliable method for fungal morphological analysis. By this method, we can prepare hundreds of pellet samples simultaneously and obtain quantitative morphological information at large scale quickly. This method can largely increase the accuracy and reliability of morphological analysis result. Based on that, the studies of Aspergillus niger morphology under different oxygen supply conditions and shear rate conditions were carried out. As a result, the morphological responding patterns of A. niger morphology to these conditions were quantitatively demonstrated, which laid a solid foundation for the further scale-up.

We observed the influence of methanol concentration on purification recovery of recombinant human consensus interferon-a (cIFN) produced by Pichia pastoris. Fermentations controlled at 0.75% (W/V) methanol showed a 24% increase in clFN expression compared to using 0.25% methanol. However, the purification recovery rate of cIFN at 0.25% methanol was 3.75-fold higher than that at 0.75% methanol. To seek the reason, we analyzed the stability of clFN by SDS-PAGE and Native-PAGE as well as Western blotting. The electrophoresis results revealed that cIFN formed a lot of aggregates in media when the induction was controlled at 0.75% methanol, and two different aggregate forms were found: disulfide bond covalent aggregates and non-covalent aggregates. However, these aggregates almost disappeared when the methanol concentration was controlled at 0.25%, at the same time, cIFN bioactivity of supernatant increased almost 4.48-fold. Finally, 0.73g monomer cIFN was obtained after purification from 1 liter supernatant at 0.25% methanol induction, showed a 2.84-fold increase compare to the induction at 0.75% methanol.

Genes of zwf1 and zwf2 encode two isozymes of glucose-6-phosphate dehydrogenase (G6PDH) of Streptomyces, respectively. G6PDH is the first enzyme in the oxidative pentose phosphate pathway (PPP) and the key enzyme for NADPH generation. Based on thermal sensitive plasmid pKC1139, a recombinant plasmid pKC1139-zwf2' was constructed and verified with restriction enzyme digestion. The plasmid pKC1139-zwf2' was electropolated into competent Streptomyces rimosus M4018 cells after it was demethylated by E. coli GM2929. Transformants grown on Tryptone Soya Agar (TSA) plate containing 500 ug/mL apramycin were selected, and identified using dot hybridization analysis and PCR amplification with apramycin resistant gene as primers. A positive clone was then selected and designated M4018-delta zwf2. With parent strain S. rimosus M4018 as control, mutant M4018-delta zwf2 was cultured in shaking flask. Specific acitivity of G6PDH of M4018-delta zwf2 was only half of that of parent strain whereas yield of oxytetracycline (OTC) of mutant was 27% higher to the mutant had a similar biomass profileto that of the control biosynthesis started when the growth entered stationary phase on the 4th day. However, specific oxytetracycline production of mutant was 31% higher than that of the parent strain, indicating that zwf2 disruption could enhance oxytetracycline biosynthesis in S. rimosus M4018-delta zwf2.

The specific activities of key enzymes relating to the pathway of inosine synthesis of three different bacterial strains including high-yield, low-yield and wild strains were determined and compared systematically. A close relationship between inosine production and the specific activities of key enzymes was found. According to the enzyme characteristics of high-yield strain, suggestions on further strain improvement by modification of genetic engineering were proposed. Enzymology study is believed to be an effective way to make screening of high-yield strains more efficient.

The characteristic of Bacillus subtilis fermentation process of guanosine on 50 L fermentor was analyzed. Based on determination of on-line and off-line parameter, using correlation analysis, the technology study of physiologic regulation was combined with the metabolic flux distribution of synthesis process. The metabolic flux shift from HMP to EMP and TCA cycle during fermentation was found. The reason of the flux shift was preliminary analyzed, based on which the procedure was optimized to increase the yield of guanosine to 30 g/L.

The optimum culture conditions of genetically engineered Pichia pastoris in shake-flask cultivation and in fed-batch fermentation were investigated respectively in this paper. It showed that the cultural period induced with 5 g/L methanol is 96 h, optimum methanol concentration is 10 g/L, and pH range is 5.72-6.59 in shake-flask culture. Although the seed inoculum amount increased, the target protein productivity per cell optical density was decreased. Their relationship fit the equeation Y = 12.941x(-0.5059) (r = 0.9789, where x is inoculating OD600, Y is protein productivity per cell optical density), we postulated that the restricting factor may be dissolved oxygen (DO) at shake-flask culture. With the 10% inoculum and 20 OD600 of seed, the lag phase of cell growth is 2.11 h in batch cultivation, and the relationship between cell optical density (Y) and culture time (t) is Y = 0.7841e0.2319t (r = 0.9936); The cell dry weight of broth reached 115-160 g/L and the maximum rHSA concentration was 3.6 g/L at the 120th at the fed-batch fermentation phase.