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From random mutagenesis to systems biology in metabolic engineering of mammalian cells 从随机突变到哺乳动物细胞代谢工程中的系统生物学
Pub Date : 2014-11-19 DOI: 10.4155/PBP.14.36
Hooman Hefzi, N. Lewis
Metabolic engineering is rapidly developing, with a continuous stream of technological developments being employed to expand the portfolio of molecules produced in cell factories. For chemical production (e.g., amino acids, biofuels, among others), metabolic engineering has progressed through three phases [1]. Initially, biological products were obtained through random mutagenesis of production strains and large screening efforts. Improved microbial strains could be isolated, but mechanisms underlying the desired phenotype were often poorly understood [2]. Diverse molecular biology techniques facilitated the second phase, in which simple, intuitive modifications were made. The third phase now employs systems biology techniques to understand the effect of modifications on all other metabolic pathways and on cell physiology. Thus, we have entered an era in which metabolic engineering aims to improve microbial strains in a reproducible fashion, using complex designs based on detailed biochemical knowledge and computational model simulations. Here, we highlight the historical progression toward using systems biology in microbial metabolic engineering and compare this to the current status of mammalian production cell line development. Finally, we discuss the unique challenges in engineering mammalian cell lines for biotherapeutic production and outline how systems biology can facilitate metabolic engineering efforts for these platforms. The systems biology approach to metabolic engineering has been enabled by three primary advancements: whole-genome sequencing, gene editing tools and genome-scale models of cellular metabolism. The completion of the Escherichia coli K-12 genome sequencing effort in 1997 [3] provided a comprehensive parts list for targeted metabolic engineering and expanded the scope of our understanding of the machinery within this microbe. The further development of efficient genetic modification systems, such as the lambda Red recombination system [4], enabled the deployment of targeted metabolic engineering designs, such as the removal of competing pathways that divert flux away from the formation of a desired product. Predictions of the systemic effects of genetic modifications were enabled when the information in the sequenced genome was harnessed for the development of genome-scale models of metabolism [5]. These models contain all known biochemical reactions in a cell, thus allowing one to predict the overall impact of modifications on phenotypic traits such as growth rate and small molecule secretion. Systems biology approaches are now important tools in microbial metabolic engineering. Yim et al. genetically modified E. coli to produce 1,4-butanediol (BDO) by introducing heterologous genes to allow Hooman Hefzi Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
随着技术的不断发展,代谢工程正在迅速发展,以扩大细胞工厂生产的分子组合。对于化工生产(如氨基酸、生物燃料等),代谢工程的发展经历了三个阶段。最初,生物制品是通过生产菌株的随机诱变和大量筛选工作获得的。改良的微生物菌株可以被分离出来,但是所期望的表型背后的机制往往知之甚少。不同的分子生物学技术促进了第二阶段,在这一阶段进行了简单、直观的修改。第三阶段现在采用系统生物学技术来了解修饰对所有其他代谢途径和细胞生理学的影响。因此,我们已经进入了一个代谢工程旨在以可复制的方式改善微生物菌株的时代,使用基于详细生化知识和计算模型模拟的复杂设计。在这里,我们强调了在微生物代谢工程中使用系统生物学的历史进展,并将其与哺乳动物生产细胞系发育的现状进行了比较。最后,我们讨论了用于生物治疗生产的工程哺乳动物细胞系的独特挑战,并概述了系统生物学如何促进这些平台的代谢工程工作。代谢工程的系统生物学方法已经通过三个主要进展实现:全基因组测序,基因编辑工具和细胞代谢的基因组尺度模型。1997年完成的大肠杆菌K-12基因组测序工作[3]为靶向代谢工程提供了一个全面的部件列表,并扩大了我们对这种微生物机制的理解范围。高效基因修饰系统的进一步发展,如lambda Red重组系统[4],使得有针对性的代谢工程设计得以部署,例如去除将通量从所需产品的形成中转移的竞争途径。当测序基因组中的信息被用于开发代谢bb0的基因组尺度模型时,对遗传修饰的系统影响的预测成为可能。这些模型包含细胞中所有已知的生化反应,因此可以预测修饰对表型性状(如生长速度和小分子分泌)的总体影响。系统生物学方法现在是微生物代谢工程的重要工具。Yim等人通过引入异源基因对大肠杆菌进行转基因,使其产生1,4-丁二醇(BDO),从而使Hooman Hefzi,加州大学圣地亚哥分校生物工程系,La Jolla, CA 92093, USA
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引用次数: 11
Next-generation bioprocess: an industry perspective of how the ‘omics era will affect future biotherapeutic development 下一代生物工艺:组学时代如何影响未来生物治疗发展的行业视角
Pub Date : 2014-11-19 DOI: 10.4155/PBP.14.41
Chapman Wright, S. Estes
The past decade has seen significant instrumentation and methodological advances enabling much broader profiling of metabolites, proteins and nucleic acids. This in turn has been leveraged to enhance our sophistication and understanding of Chinese hamster ovary (CHO) cell metabolism in a bio processing environment. Of the three aforementioned fields, genomics has established itself as the preeminent technology platform for the foreseeable future largely due to a combination of throughput, comprehensive coverage and a relatively simple workflow. This has come to pass as a result of the tremendous advancements in nextgeneration sequencing (NGS) technology. These breakthroughs have lowered the barriers of cost and time associated with whole genome (DNA-Seq) and transcriptome (RNA-Seq) sequencing projects at an unprecedented rate, giving way to the ‘sequencing revolution’ [1]. The era of CHO genomics was ushered in by Xu and co-workers who applied NGS technology to create the first publically available CHO-K1 draft genome in 2011 [2]. CHO-K1 is but one of a handful of CHO host cell lines utilized by the bioprocessing industry. Indeed considering the extended time in culture and variety of adaptation strategies applied by the numerous labs working with CHO, every CHO host should be considered a unique cell line, irrespective of a shared common lineage [3]. Therefore, in subsequent publications by Lewis et al. [4] and Brinkrolf et al. [5] the CHO-K1 draft genome was expanded upon by sequencing the Chinese hamster genome. Having a Chinese hamster reference genome to facilitate the assembly of additional CHO genomes will benefit the community as a whole. However, the work is far from done as the quality of the genome is curtailed by gaps in sequencing coverage and incomplete gene annotations. A community of scientists working with CHOgenome.org is currently in the process of updating and correcting the CHO/hamster draft genomes, with particular interest in the sequencing gaps and annotations. This work will be critical to unlock the full benefits of having a high-quality genome to work with. Acknowledging the work that remains, the question becomes: how will NGS impact future bioprocess and what is the potential role of other ‘omics platforms?
在过去的十年中,仪器和方法取得了重大进展,使得对代谢物、蛋白质和核酸的分析更加广泛。这反过来又提高了我们对中国仓鼠卵巢(CHO)细胞在生物加工环境中的代谢的复杂性和理解。在上述三个领域中,基因组学在可预见的未来已经成为卓越的技术平台,这主要是由于其吞吐量、全面的覆盖范围和相对简单的工作流程。由于下一代测序(NGS)技术的巨大进步,这种情况得以实现。这些突破以前所未有的速度降低了与全基因组(DNA-Seq)和转录组(RNA-Seq)测序项目相关的成本和时间障碍,为“测序革命”让路。2011年,徐和他的同事们应用NGS技术创建了第一个公开的CHO- k1基因组草图,开创了CHO基因组学的时代。CHO- k1只是生物加工工业利用的少数CHO宿主细胞系之一。事实上,考虑到培养时间的延长和众多实验室对CHO采用的各种适应策略,每个CHO宿主都应被视为一个独特的细胞系,而不管它们是否拥有共同的谱系[3]。因此,在Lewis等人(b[4])和Brinkrolf等人(b[5])的后续出版物中,通过对中国仓鼠基因组进行测序,对CHO-K1草图基因组进行了扩展。获得中国仓鼠参考基因组以促进其他CHO基因组的组装将使整个社区受益。然而,由于测序覆盖范围的差距和不完整的基因注释,基因组的质量受到限制,这项工作远未完成。一个与CHOgenome.org合作的科学家社区目前正在更新和纠正CHO/仓鼠基因组草案,对测序空白和注释特别感兴趣。这项工作对于释放高质量基因组的全部好处至关重要。承认仍有工作要做,问题就变成了:NGS将如何影响未来的生物过程,以及其他“组学”平台的潜在作用是什么?
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引用次数: 5
Is microfluidic perfusion culture the future for large-scale screening of human-induced pluripotent stem cells? 微流控灌注培养是大规模筛选人诱导多能干细胞的未来吗?
Pub Date : 2014-10-17 DOI: 10.4155/PBP.14.25
K. Hattori, S. Sugiura, T. Kanamori, K. Ohnuma
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引用次数: 4
Bioprocess engineering: micromanaging Chinese hamster ovary cell phenotypes 生物工艺工程:微管理中国仓鼠卵巢细胞表型
Pub Date : 2014-10-17 DOI: 10.4155/PBP.14.28
Paul S Kelly, C. Clarke, M. Clynes, N. Barron
Fundamental to the efficient production of quality biopharmaceuticals is the selection, optimization and tailored manipulation of the mammalian cellular production host. Engineering of these cell factories, predominantly the Chinese hamster ovary cell and advancements in bioprocess regimens have led to greatly increased product titres. The ability of miRNAs to regulate gene expression on a global level has generated considerable interest in these molecules as potential cell engineering targets. In this review, we briefly describe their organization and biogenesis and discuss their attributes as engineering tools in Chinese hamster ovary cells. The development of particular engineering strategies based upon further dissection of miRNA behavior will be considered, with particular emphasis on encouraging examples in Chinese hamster ovary cells and their potential for further development.
高效生产优质生物制药的基础是选择、优化和定制哺乳动物细胞生产宿主的操作。这些细胞工厂的工程设计,主要是中国仓鼠卵巢细胞和生物工艺方案的进步,导致产品滴度大大提高。mirna在全球水平上调控基因表达的能力引起了人们对这些分子作为潜在细胞工程靶点的极大兴趣。本文简要介绍了它们在中国仓鼠卵巢细胞中的组织和生物发生,并讨论了它们作为工程工具的特性。将考虑基于进一步解剖miRNA行为的特定工程策略的发展,特别强调在中国仓鼠卵巢细胞中的鼓励例子及其进一步发展的潜力。
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引用次数: 7
Developing cell-free protein synthesis systems: a focus on mammalian cells 开发无细胞蛋白质合成系统:以哺乳动物细胞为重点
Pub Date : 2014-10-17 DOI: 10.4155/PBP.14.30
A. K. Brödel, S. Kubick
Sophisticated cell-free protein synthesis (CFPS) systems have been developed as an alternative to recombinant expression in cultured cells. In this review, we present advances in the field of mammalian-based CFPS by highlighting recently established systems derived from mouse fibroblasts, HeLa, hybridoma, CHO and K562 cells. We further highlight ongoing challenges in the field of mammalian-based CFPS, such as the optimization of already established platforms and the development of novel systems in order to further increase protein yields and reduce manufacturing costs while facilitating the synthesis of a huge number of biologically active target proteins. Advances in mammalian-based CFPS shall expand the number of future applications of CFPS in the area of pharmaceutical research and development.
复杂的无细胞蛋白合成(CFPS)系统已经发展成为在培养细胞中重组表达的替代方法。在这篇综述中,我们介绍了基于哺乳动物的CFPS领域的进展,重点介绍了最近建立的来自小鼠成纤维细胞、HeLa、杂交瘤、CHO和K562细胞的系统。我们进一步强调了基于哺乳动物的CFPS领域正在面临的挑战,例如优化已经建立的平台和开发新的系统,以进一步提高蛋白质产量和降低制造成本,同时促进大量生物活性靶蛋白的合成。基于哺乳动物的CFPS的进展将扩大CFPS在药物研发领域的未来应用。
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引用次数: 11
Modification and qualification of a stirred single-use bioreactor for the improved expansion of human mesenchymal stem cells at benchtop scale 改良和鉴定搅拌一次性生物反应器,以改善台式规模的人间充质干细胞的扩增
Pub Date : 2014-10-17 DOI: 10.4155/PBP.14.29
Valentin Jossen, S. Kaiser, Carmen Schirmaier, J. Herrmann, A. Tappe, D. Eibl, A. Siehoff, C. Bos, R. Eibl
Background: To improve cultivation conditions for human bone-marrow-derived mesenchymal stem cells, we redesigned the commercially available UniVessel® SU bioreactor using results obtained from computational fluid dynamics. The goal was to produce ≥1 × 109 cells and to achieve expansion factors ≥30. Screening studies suggested that microcarrier solid fractions of at least 0.3% are required to reach the appropriate cell densities. Results: The fluid flow pattern found in the most promising modification (#2) was altered by increasing the impeller blade angle and lowering the off-bottom clearance. As a result, the maximum required specific power input was reduced by a factor of 2.2–4.6, depending on the microcarrier concentration, and peak cell densities were 3.4-times higher than in the standard version. Conclusion: The peak cell number of nearly 1.1 × 109 cells (expansion factor = 35), which was achieved in our low-serum cultivations, indicates an improvement in the redesigned UniVessel® SU configuration f...
背景:为了改善人骨髓间充质干细胞的培养条件,我们利用计算流体动力学的结果重新设计了市售的UniVessel®SU生物反应器。目标是产生≥1 × 109个细胞,扩增因子≥30。筛选研究表明,微载体固体组分至少需要0.3%才能达到适当的细胞密度。结果:最理想的改型(#2)是通过增加叶轮叶片角度和降低离底间隙来改变流体的流态。因此,根据微载流子浓度的不同,所需的最大比功率输入降低了2.2-4.6倍,峰值电池密度比标准版本高3.4倍。结论:在我们的低血清培养中,达到了近1.1 × 109个细胞(扩增因子= 35)的峰值细胞数,这表明重新设计的UniVessel®SU配置的改进。
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引用次数: 26
How to choose the correct cell line for producing your viral vaccine: what is important? 如何选择正确的细胞系来生产病毒疫苗:什么是重要的?
Pub Date : 2014-08-07 DOI: 10.4155/PBP.14.19
L. V. D. Pol, W. Bakker
Background Human viral vaccine manufacturing formed the basis of using animal cell technology for biopharmaceuticals in the 1960–1970s, replacing products derived from animals or human blood [1]. The majority of recombinant protein products, such as hormones and blood factors, made this transition from mammalian to a recombinant source, and later, being relatively well-characterized products, adopted stringent regulatory guidelines [2] based on scientific understanding. This also led to the use of a limited number of standard target expression systems to generate a product with specific predefined product characteristics and quality (CHO, Escherichia coli, Saccharomyces or Picchia). In contrast to recombinant biopharmaceutical proteins, the present situation for viral vaccines is characterized by a lack of standardization and diversity in expression systems. This diversity is further enhanced by the various approaches followed in viral vaccine development. Although recombinant subunit products to generate viral vaccines, such as virus-like particles (hepatitis B and human papillomavirus) and virosomes (Inflexal V; Crucell, The Netherlands), have reached the market, the majority of viral vaccines, as discussed in this paper, still takes the production of viruses (split, inactivated or live attenuated) as a starting point. Since most vaccines are given to healthy children, the introduction of new cell lines in viral vaccine production has been a low priority compared with product safety. Therefore, manufacturers may have selected cell lines based on conservative approaches, while tolerating potential inefficiencies. However, recent endeavors in modernization of classical (e.g., influenza and polio) and new (e.g., respiratory syncytial virus) viral vaccines have initiated exploration of exciting new viral expression systems [3].
在20世纪60 - 70年代,人类病毒疫苗的制造成为使用动物细胞技术用于生物制药的基础,取代了从动物或人类血液中提取的产品。大多数重组蛋白产品,如激素和血液因子,都是从哺乳动物过渡到重组来源的,后来,作为特征相对较好的产品,基于科学的理解,采用了严格的监管指南[2]。这也导致使用有限数量的标准目标表达系统来生成具有特定预定义产品特性和质量的产品(CHO,大肠杆菌,Saccharomyces或Picchia)。与重组生物制药蛋白相比,目前病毒疫苗的特点是缺乏表达系统的标准化和多样性。病毒疫苗开发中采用的各种方法进一步加强了这种多样性。虽然重组亚基产物可产生病毒疫苗,如病毒样颗粒(乙型肝炎病毒和人乳头瘤病毒)和病毒体(流感病毒V;如本文所述,大多数病毒疫苗仍以生产病毒(分裂病毒、灭活病毒或减毒活病毒)为起点。由于大多数疫苗是给健康儿童接种的,与产品安全相比,在病毒疫苗生产中引入新细胞系的优先级较低。因此,制造商可能会选择基于保守方法的细胞系,同时容忍潜在的低效率。然而,最近在经典(如流感和脊髓灰质炎)和新型(如呼吸道合胞病毒)病毒疫苗现代化方面的努力已经开始探索令人兴奋的新病毒表达系统[3]。
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引用次数: 0
Are nonessential amino acids not so redundant for Chinese hamster ovary cell lines 对中国仓鼠卵巢细胞系来说,非必需氨基酸不是那么多余吗
Pub Date : 2014-08-07 DOI: 10.4155/PBP.14.14
Dina Fomina-Yadlin, J. McGrew
The understanding of the nutritional requirements for Chinese hamster ovary (CHO) cells and other immortalized cell lines was an early milestone in developing cell culture media. A key aspect of these early studies was defining those amino acids termed ‘essen tial’ for survival and growth of different cell lines. However, the amino acids essential for growth of cells in culture differ from those defined as essential in biochemistry texts.
了解中国仓鼠卵巢(CHO)细胞和其他永生化细胞系的营养需求是开发细胞培养基的早期里程碑。这些早期研究的一个关键方面是定义那些被称为“必需”的氨基酸,这些氨基酸对不同细胞系的生存和生长至关重要。然而,培养细胞生长所必需的氨基酸不同于生物化学教科书中所定义的必需氨基酸。
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引用次数: 0
Prediction of soluble heterologous protein expression levels in Escherichia coli from sequence-based features and its potential in biopharmaceutical process development 基于序列特征的大肠杆菌可溶性外源蛋白表达水平预测及其在生物制药工艺开发中的潜力
Pub Date : 2014-08-07 DOI: 10.4155/PBP.14.23
Xiaofeng Dai, Wenwen Guo, Quan Long, Yankun Yang, L. Harvey, B. McNeil, Zhonghu Bai
Prediction of soluble protein expression levels in Escherichia coli based on the nature of protein itself remains a challenge for bioprocess development (BD). This review will critically discuss the current efforts and achievements that employ computational approaches to develop prediction models for soluble protein expression in E. coli. The contrast between the remarkable progresses made on the predictive models achieved by bioinformatics and their relatively infrequent application in BD will be explained. The effects of process-relevant variables at four different levels on the expression of heterologous proteins, for example, gene, vector, host cell and cultivation process, and also a critical comparison of several established bioinformatics tools for predicting expression levels will be presented. The potential utility of this emergent technology to increase the efficiency of BD strategies and thereby to reduce the cost of establishing a process for soluble protein expression are critically examined.
根据蛋白本身的性质预测大肠杆菌中可溶性蛋白的表达水平仍然是生物过程开发(BD)的一个挑战。这篇综述将批判性地讨论目前使用计算方法开发大肠杆菌可溶性蛋白表达预测模型的努力和成就。将解释生物信息学在预测模型方面取得的显著进展与它们在BD中相对较少的应用之间的对比。将介绍四个不同水平的过程相关变量对异源蛋白表达的影响,例如基因、载体、宿主细胞和培养过程,以及几种已建立的预测表达水平的生物信息学工具的关键比较。这项新兴技术的潜在效用是提高BD策略的效率,从而降低建立可溶性蛋白表达过程的成本。
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引用次数: 1
Molecular pharming in plants and plant cell cultures: a great future ahead? 植物分子药剂学和植物细胞培养:一个伟大的未来?
Pub Date : 2014-08-07 DOI: 10.4155/PBP.14.21
A. Ritala, S. Häkkinen, S. Schillberg
Plant biotechnology may not be a familiar concept to the general public, but it is a rapidly developing field of research that involves the use of plants, plant tissues and plant cell cultures to make or modify products and processes. The versatility of plants and plant cells can be harnessed to produce diverse products, including valuable proteins. This is often described as ‘molecular farming’ and it requires the introduction of foreign DNA into plants or plant cells, turning them into factories for the production of specific recombinant protein products. The term ‘molecular pharming’ is often used instead to highlight the production of protein-based biopharmaceuticals, which contributes to the sustainable production of drugs that promote human and animal wellbeing. Both terms also apply to the production of valuable secondary metabolites such as the anticancer drugs paclitaxel, vincristine and vinblastine, but we will focus on recombinant proteins and their use as biopharmaceuticals in this article. The biopharmaceutical markets have expanded rapidly over the last 20 years, and are projected to more than double in volume over the next decade from US$200 billion in 2013 to at least US$500 billion in 2020. The two major biopharmaceutical production systems are microbes (mainly Escherichia coli and yeast) and mammalian cells such as the Chinese hamster ovary platform. In both cases, productivity has increased substantially over the last decade due to process optimization, platform standardization and genetic improvements. Both the US FDA and European Medicines Agency are familiar with these systems, and standard protocols can be followed to ensure the approval of new products. However, equivalent protocols are only just emerging for plant-based production systems, and only one plant-derived biopharmaceutical protein is currently on the market. With their established production infrastructure and regulatory framework, microbial and mammalian production systems have raced far ahead of their plant-based counterparts. No company will change their production host without a clear economic benefit, nor will they consider plants and plant cells for new products if there is no advantage over their incumbent technology. Furthermore, new companies will not base their manufacturing on a second-best option. Therefore, plant-based systems must begin to compete head-to-head with the established systems and, on a technological basis, we can already identify the areas where plantbased systems have the advantage, namely in terms of speed, improved product quality and scalability. The international success story of molecular pharming began in 2006 with the US Department of Agriculture approval of a poultry vaccine against Newcastle disease developed by Dow AgroSciences (IN, USA) [1,2]. The vaccine was manufactured in transgenic tobacco cell suspension cultures and was a benchmark for the regulatory acceptance of plants as a manufacturing platform, Molecular pharmin
植物生物技术对一般公众来说可能不是一个熟悉的概念,但它是一个迅速发展的研究领域,涉及利用植物、植物组织和植物细胞培养来制造或修改产品和工艺。植物和植物细胞的多功能性可以用来生产各种产品,包括有价值的蛋白质。这通常被称为“分子农业”,它需要将外源DNA引入植物或植物细胞,将它们变成生产特定重组蛋白产品的工厂。“分子制药”一词通常用来强调以蛋白质为基础的生物制药的生产,这有助于促进人类和动物健康的药物的可持续生产。这两个术语也适用于生产有价值的次级代谢物,如抗癌药物紫杉醇、长春新碱和长春花碱,但我们将在本文中重点讨论重组蛋白及其作为生物制药的用途。生物制药市场在过去20年中迅速扩大,预计未来10年的规模将增加一倍以上,从2013年的2000亿美元增至2020年的至少5000亿美元。两个主要的生物制药生产系统是微生物(主要是大肠杆菌和酵母)和哺乳动物细胞,如中国仓鼠卵巢平台。在这两种情况下,由于流程优化、平台标准化和遗传改进,生产力在过去十年中大幅提高。美国食品药品监督管理局和欧洲药品管理局都熟悉这些系统,并且可以遵循标准协议来确保新产品的批准。然而,基于植物的生产系统的等效方案才刚刚出现,目前市场上只有一种植物来源的生物制药蛋白。凭借其已建立的生产基础设施和监管框架,微生物和哺乳动物生产系统远远领先于植物生产系统。如果没有明显的经济效益,没有公司会改变他们的生产主机,如果没有现有技术的优势,他们也不会考虑为新产品生产工厂和植物细胞。此外,新公司不会把生产建立在次优选择上。因此,基于植物的系统必须开始与已建立的系统进行正面竞争,并且在技术基础上,我们已经可以确定基于植物的系统具有优势的领域,即在速度,改进的产品质量和可扩展性方面。分子制药的国际成功故事始于2006年,当时美国农业部批准了陶氏农业科学公司(in, USA)开发的一种抗新城疫的家禽疫苗[1,2]。该疫苗是在转基因烟草细胞悬浮培养物中生产的,是监管机构接受植物作为生产平台的基准。植物分子制药和植物细胞培养物:未来美好?
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引用次数: 8
期刊
Pharmaceutical bioprocessing
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