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Schiewe T, Gutschmann B, Santolin L, Waldburger S, Neubauer P, Hass R, Riedel SL. Real-time monitoring of biomass during Escherichia coli high-cell-density cultivations by in-line photon density wave spectroscopy. Biotechnol Bioeng 2023; 120:2880-2889. [PMID: 37272419 DOI: 10.1002/bit.28460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
An efficient monitoring and control strategy is the basis for a reliable production process. Conventional optical density (OD) measurements involve superpositions of light absorption and scattering, and the results are only given in arbitrary units. In contrast, photon density wave (PDW) spectroscopy is a dilution-free method that allows independent quantification of both effects with defined units. For the first time, PDW spectroscopy was evaluated as a novel optical process analytical technology tool for real-time monitoring of biomass formation in Escherichia coli high-cell-density fed-batch cultivations. Inline PDW measurements were compared to a commercially available inline turbidity probe and with offline measurements of OD and cell dry weight (CDW). An accurate correlation of the reduced PDW scattering coefficient µs ' with CDW was observed in the range of 5-69 g L-1 (R2 = 0.98). The growth rates calculated based on µs ' were comparable to the rates determined with all reference methods. Furthermore, quantification of the reduced PDW scattering coefficient µs ' as a function of the absorption coefficient µa allowed direct detection of unintended process trends caused by overfeeding and subsequent acetate accumulation. Inline PDW spectroscopy can contribute to more robust bioprocess monitoring and consequently improved process performance.
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Affiliation(s)
- Thomas Schiewe
- Institute of Chemistry, innoFSPEC, University of Potsdam, Potsdam, Germany
- PDW Analytics GmbH, Potsdam, Germany
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Björn Gutschmann
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Lara Santolin
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Saskia Waldburger
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Peter Neubauer
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Roland Hass
- Institute of Chemistry, innoFSPEC, University of Potsdam, Potsdam, Germany
- PDW Analytics GmbH, Potsdam, Germany
| | - Sebastian L Riedel
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
- Department VIII-Mechanical Engineering, Event Technology and Process Engineering, Environmental and Bioprocess Engineering Laboratory, Berliner Hochschule für Technik, Berlin, Germany
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Kittler S, Ebner J, Besleaga M, Larsbrink J, Darnhofer B, Birner-Gruenberger R, Schobesberger S, Akhgar CK, Schwaighofer A, Lendl B, Spadiut O. Recombinant Protein L: Production, Purification and Characterization of a Universal Binding Ligand. J Biotechnol 2022; 359:108-115. [DOI: 10.1016/j.jbiotec.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/28/2022] [Accepted: 10/01/2022] [Indexed: 11/26/2022]
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3
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Mohammadi Z, Alijanianzadeh M, Khalilzadeh R, Khodadadi S. Process Development for the Production and Purification of PEGylated
RhG-CSF Expressed in Escherichia coli. Protein Pept Lett 2022; 29:293-305. [DOI: 10.2174/0929866529666220126100559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 12/06/2021] [Accepted: 12/06/2021] [Indexed: 11/22/2022]
Abstract
Background and objective:
Recombinant human granulocyte-colony stimulating factor (rhG-CSF) and its PEGylated form (PEG-GCSF) are used in the cancer therapy. Thus the development of a more cost-effectively method for expressing rhG-CSF and the PEGylation optimization of rhG-CSF by reaction engineering and subsequent the purification strategy is necessary.
Methods:
RhG-CSF expression in Escherichia coli BL21 (DE3) was carried out by auto-induction batch fermentation and improved for maximizing rhG-CSF productivity. After that, purified rhG-CSF was PEGylated using methoxy polyethylene glycol propionaldehydes (mPEG20-ALD). The various conditions effect of extraction and purification of rhG-CSF and PEG-GCSF were assayed.
Results:
The assessment results revealed that auto-induction batch cultivation strategy had maximum productivity and rhG-CSF purity was more than 99%. The obtained Data of rhG-CSF PEGylation displayed that the optimized conditions of rhG-CSF PEGylation and purification enhanced hemogenisity PEG-GCSF and managed reaction toward optimal yield of PEG-GCSF (70%) and purity of 99.9%. Findings from FTIR, CD, and fluorescence spectroscopy and bioassay revealed that PEGylation was executed exactly in the rhG-CSF N-terminus, and products maintained their conformation properties.
Conclusion:
Overall, the developed approach expanded strategies for high yield rhG-CSF by simplified auto-induction batch fermentation system and rhG-CSF PEGylation, which are simple and time-saving, economical and high efficiency.
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Affiliation(s)
- Zeinab Mohammadi
- Department of Bioscience and Biotechnology, Malek-Ashtar University of Technology, Tehran, Iran
| | - Mahdi Alijanianzadeh
- Department of Bioscience and Biotechnology, Malek-Ashtar University of Technology, Tehran, Iran
- Department of
Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Rassoul Khalilzadeh
- Department of Bioscience and Biotechnology, Malek-Ashtar University of Technology, Tehran, Iran
| | - Sirus Khodadadi
- Department of Bioscience and Biotechnology, Malek-Ashtar University of Technology, Tehran, Iran
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Shang F, Wang H, Zhang D, Wang W, Yu J, Xue T. Construction of an AI-2 quorum sensing induced heterologous protein expression system in Escherichia coli. PeerJ 2021; 9:e12497. [PMID: 34820206 PMCID: PMC8603832 DOI: 10.7717/peerj.12497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 10/25/2021] [Indexed: 11/22/2022] Open
Abstract
Background The pET expression system based on T7 promoter which is induced by isopropyl-β-D-1-thiogalactopyranoside (IPTG) is by far the most commonly used system for production of heterogeneous proteins in Escherichia coli. However, this system was limited by obvious drawbacks including the host toxicity and metabolic burden imposed by the presence of IPTG. Methods In this study, we incorporated the autoinducer-2 (AI-2) quorum sensing system to realize autoinduction of the pET expression system. The autoinduction expression vector pXWZ1 was constructed by inserting the lsr promoter regions into the pET28a(+) vector. The expression efficiency of the reporter genes gfpuv and lacZ by the pXWZ1 and pET28a(+) vectors were compared. Results The results showed that the expression levels of the both report genes in the cells transformed with pXWZ1 without any addition of exogenous inducer were higher than that transformed with pET28a(+) vectors by the induction of IPTG. Conclusion This new auto-induction system will exclude the limitations of the IPTG induction including toxic to host and increasing formation of inclusion body and will become a more economical and convenient tool for recombinant protein expression.
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Affiliation(s)
- Fei Shang
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
| | - Hui Wang
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
| | - Dan Zhang
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
| | - Wenhui Wang
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
| | - Jiangliu Yu
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
| | - Ting Xue
- Anhui Agricultural University, School of Life Sciences, Hefei, Anhui, China
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Sinner P, Stiegler M, Goldbeck O, Seibold GM, Herwig C, Kager J. Online estimation of changing metabolic capacities in continuous Corynebacterium glutamicum cultivations growing on a complex sugar mixture. Biotechnol Bioeng 2021; 119:575-590. [PMID: 34821377 PMCID: PMC9299845 DOI: 10.1002/bit.28001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 10/06/2021] [Accepted: 11/12/2021] [Indexed: 01/16/2023]
Abstract
Model‐based state estimators enable online monitoring of bioprocesses and, thereby, quantitative process understanding during running operations. During prolonged continuous bioprocesses strain physiology is affected by selection pressure. This can cause time‐variable metabolic capacities that lead to a considerable model‐plant mismatch reducing monitoring performance if model parameters are not adapted accordingly. Variability of metabolic capacities therefore needs to be integrated in the in silico representation of a process using model‐based monitoring approaches. To enable online monitoring of multiple concentrations as well as metabolic capacities during continuous bioprocessing of spent sulfite liquor with Corynebacterium glutamicum, this study presents a particle filtering framework that takes account of parametric variability. Physiological parameters are continuously adapted by Bayesian inference, using noninvasive off‐gas measurements. Additional information on current parameter importance is derived from time‐resolved sensitivity analysis. Experimental results show that the presented framework enables accurate online monitoring of long‐term culture dynamics, whereas state estimation without parameter adaption failed to quantify substrate metabolization and growth capacities under conditions of high selection pressure. Online estimated metabolic capacities are further deployed for multiobjective optimization to identify time‐variable optimal operating points. Thereby, the presented monitoring system forms a basis for adaptive control during continuous bioprocessing of lignocellulosic by‐product streams.
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Affiliation(s)
- Peter Sinner
- Research Unit of Biochemical Engineering, Institute of Chemical, Environmental and Bioscience Engineering, Technische Universität Wien, Vienna, Austria
| | - Marlene Stiegler
- Research Unit of Biochemical Engineering, Institute of Chemical, Environmental and Bioscience Engineering, Technische Universität Wien, Vienna, Austria
| | - Oliver Goldbeck
- Institute of Microbiology and Biotechnology, University of Ulm, Ulm, Germany
| | - Gerd M Seibold
- Section for Synthetic Biology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Christoph Herwig
- Research Unit of Biochemical Engineering, Institute of Chemical, Environmental and Bioscience Engineering, Technische Universität Wien, Vienna, Austria
| | - Julian Kager
- Research Unit of Biochemical Engineering, Institute of Chemical, Environmental and Bioscience Engineering, Technische Universität Wien, Vienna, Austria.,Competence Center CHASE GmbH, Linz, Austria
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A Guideline to Set Up Cascaded Continuous Cultivation with E. coli Bl21 (DE3). METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2021; 2436:223-240. [PMID: 34519978 DOI: 10.1007/7651_2021_424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Continuous processing allows to maximize space-time yields and is implemented in many industrial branches. However, in manufacturing of value added compounds produced with microbial hosts, continuous processing is not state-of-the-art yet. This is because fluctuating productivity causes unwanted process deviations. Cascaded continuous bioprocessing, unlike conventional continuous process modes, was found to result in stable productivity. This manuscript serves as a guideline how to set up a cascaded continuous cultivation with Escherichia coli BL21 DE(3).
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Abstract
Recently, there has been a resurgence of interest in continuous bioprocessing as a cost-optimised production strategy, driven by a rising global requirement for recombinant proteins used as biological drugs. This strategy could provide several benefits over traditional batch processing, including smaller bioreactors, smaller facilities, and overall reduced plant footprints and investment costs. Continuous processes may also offer improved product quality and minimise heterogeneity, both in the culture and in the product. In this paper, a model protein, green fluorescent protein (GFP) mut3*, was used to test the recombinant protein expression in an Escherichia coli strain with industrial relevance grown in chemostat. An important factor in enabling stable productivity in continuous cultures is the carbon source. We have studied the viability and heterogeneity of the chemostat cultures using a chemically defined medium based on glucose or glycerol as the single carbon source. As a by-product of biodiesel production, glycerol is expected to become a sustainable alternative substrate to glucose. We have found that although glycerol gives a higher cell density, it also generates higher heterogeneity in the culture and a less stable recombinant protein production. We suggest that manipulating the balance between different subpopulations to increase the proportion of productive cells may be a possible solution for making glycerol a successful alternative to glucose.
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Kumar J, Chauhan AS, Gupta JA, Rathore AS. Supplementation of critical amino acids improves glycerol and lactose uptake and enhances recombinant protein production in Escherichia coli. Biotechnol J 2021; 16:e2100143. [PMID: 34047499 DOI: 10.1002/biot.202100143] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Lactose-based induction strategy in E. coli cultivation has several advantages over IPTG as it is cheap, does not impart metabolic stress to cells, and is non-toxic to cells. However, complexity of lactose as an inducer limits its application in fed-batch cultivation. A mixed glycerol-lactose based induction strategy is generally opted during fed-batch cultivation of E. coli. However, slow growth of E. coli in glycerol and lactose results in slower induction of heterologous protein. MAIN METHODS AND MAJOR RESULTS In this study, initially we have demonstrated supplementation of critical amino acids (AAs) improves uptake rate of glycerol and lactose in wildtype E. coli BL21(DE3) in defined medium. A feeding strategy of mixed glycerol-lactose feed along with supplement of critical AAs enhances recombinant production of pramlintide multimer (rPramlintide). High cell density cultivation of E. coli using mixed glycerol-lactose feed and critical AAs supplement resulted in final cell density of 52.2 ± 0.90 g L-1 and rPramlintide titer of 7.8 g L-1 . RT-qPCR analysis of genes involved in glycerol and lactose metabolism of recombinant culture showed upregulation with AAs supplementation. CONCLUSIONS AND IMPLICATIONS We hypothesize that supplementation of critical AAs serves dual purpose: (i) faster assimilation of carbon sources, and (ii) combating metabolic stress arises due to AAs starvation. The substrate uptake and gene expression profiles demonstrate that AAs addition enhances glycerol and lactose assimilation due to overall improvement in their metabolism governed by global regulators of carbon metabolism.
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Affiliation(s)
- Jashwant Kumar
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi, India
| | - Ashish S Chauhan
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi, India
| | - Jaya A Gupta
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi, India
| | - Anurag S Rathore
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi, India
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9
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Cascaded processing enables continuous upstream processing with E. coli BL21(DE3). Sci Rep 2021; 11:11477. [PMID: 34075099 PMCID: PMC8169658 DOI: 10.1038/s41598-021-90899-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/04/2021] [Indexed: 02/05/2023] Open
Abstract
In many industrial sectors continuous processing is already the golden standard to maximize productivity. However, when working with living cells, subpopulation formation causes instabilities in long-term cultivations. In cascaded continuous cultivation, biomass formation and recombinant protein expression can be spatially separated. This cultivation mode was found to facilitate stable protein expression using microbial hosts, however mechanistic knowledge of this cultivation strategy is scarce. In this contribution we present a method workflow to reduce workload and accelerate the establishment of stable continuous processes with E. coli BL21(DE3) exclusively based on bioengineering methods.
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10
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Kopp J, Kittler S, Slouka C, Herwig C, Spadiut O, Wurm DJ. Repetitive Fed-Batch: A Promising Process Mode for Biomanufacturing With E. coli. Front Bioeng Biotechnol 2020; 8:573607. [PMID: 33240864 PMCID: PMC7683717 DOI: 10.3389/fbioe.2020.573607] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 10/21/2020] [Indexed: 12/13/2022] Open
Abstract
Recombinant protein production with Escherichia coli is usually carried out in fed-batch mode in industry. As set-up and cleaning of equipment are time- and cost-intensive, it would be economically and environmentally favorable to reduce the number of these procedures. Switching from fed-batch to continuous biomanufacturing with microbials is not yet applied as these cultivations still suffer from time-dependent variations in productivity. Repetitive fed-batch process technology facilitates critical equipment usage, reduces the environmental fingerprint and potentially increases the overall space-time yield. Surprisingly, studies on repetitive fed-batch processes for recombinant protein production can be found for yeasts only. Knowledge on repetitive fed-batch cultivation technology for recombinant protein production in E. coli is not available until now. In this study, a mixed feed approach, enabling repetitive fed-batch technology for recombinant protein production in E. coli, was developed. Effects of the cultivation mode on the space-time yield for a single-cycle fed-batch, a two-cycle repetitive fed-batch, a three-cycle repetitive fed batch and a chemostat cultivation were investigated. For that purpose, we used two different E. coli strains, expressing a model protein in the cytoplasm or in the periplasm, respectively. Our results demonstrate that a repetitive fed-batch for E. coli leads to a higher space-time yield compared to a single-cycle fed-batch and can potentially outperform continuous biomanufacturing. For the first time, we were able to show that repetitive fed-batch technology is highly suitable for recombinant protein production in E. coli using our mixed feeding approach, as it potentially (i) improves product throughput by using critical equipment to its full capacity and (ii) allows implementation of a more economic process by reducing cleaning and set-up times.
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Affiliation(s)
- Julian Kopp
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - Stefan Kittler
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - Christoph Slouka
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - Christoph Herwig
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - Oliver Spadiut
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - David J Wurm
- Research Area Biochemical Engineering, Institute of Chemical Engineering, TU Wien, Vienna, Austria
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