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Jarusintanakorn S, Phechkrajang C, Khongkaew P, Mastrobattista E, Yamabhai M. Determination of Chinese hamster ovary (CHO) cell densities and antibody titers from small volumes of cell culture supernatants using multivariate analysis and partial least squares regression of UV-Vis spectra. Anal Bioanal Chem 2021; 413:5743-5753. [PMID: 34476523 PMCID: PMC8437849 DOI: 10.1007/s00216-021-03549-4] [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: 05/17/2021] [Revised: 06/25/2021] [Accepted: 07/13/2021] [Indexed: 12/22/2022]
Abstract
Antibody titer and viable cell density (VCD) are two important parameters that need to be closely monitored during the process of cell line development and manufacturing of therapeutic antibodies. Typically, determination of each parameter requires 10–100 μL of supernatant sample, which is not suitable for small scale cultivation. In this study, we demonstrated that as low as 2 μL of culture supernatants were sufficient for the analysis using UV-Vis spectrum assisted with partial least squares (PLS) model. The results indicated that the optimal PLS models could be used to predict antibody titer and VCD with the linear relationship between reference values and predicted values at R2 values ranging from 0.8 to > 0.9 in supernatant samples obtained from four different single clones and in polyclones that were cultured in various selection stringencies. Then, the percentage of cell viability and productivity were predicted from a set of samples of polyclones. The results indicated that while all predicted % cell viability were very similar to the actual value at RSEP value of 6.7 and R2 of 0.8908, the predicted productivity from 14 of 18 samples were closed to the reference measurements at RSEP value of 22.4 and R2 of 0.8522. These results indicated that UV-Vis combined with PLS has potential to be used for monitoring antibody titer, VCD, and % cell viability for both online and off-line therapeutic production process.
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Affiliation(s)
- Salinthip Jarusintanakorn
- Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutics, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, Netherlands.,Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University, 447, Sri-Ayuthaya Road, Rajathevi, Bangkok, 10400, Thailand.,Molecular Biotechnology Laboratory, School of Biotechnology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand
| | - Chutima Phechkrajang
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University, 447, Sri-Ayuthaya Road, Rajathevi, Bangkok, 10400, Thailand
| | - Putthiporn Khongkaew
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University, 447, Sri-Ayuthaya Road, Rajathevi, Bangkok, 10400, Thailand.,Faculty of Pharmaceutical Science, Burapha University, 169 Longhaad Bangsaen Road, Saensook, Muang, Chonburi, 20131, Thailand
| | - Enrico Mastrobattista
- Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutics, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, Netherlands.
| | - Montarop Yamabhai
- Molecular Biotechnology Laboratory, School of Biotechnology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
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Orrock JL, Connolly BM, Guiden PW, Chandler JL, Bron GM, Drost CA, Garcelon DK. Sin Nombre virus prevalence from 2014-2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands. Zoonoses Public Health 2021; 68:849-853. [PMID: 34028194 DOI: 10.1111/zph.12855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 12/28/2020] [Accepted: 05/11/2021] [Indexed: 11/28/2022]
Abstract
Sin Nombre virus (SNV) is a zoonotic virus that is highly pathogenic to humans. The deer mouse, Peromyscus maniculatus, is the primary host of SNV, and SNV prevalence in P. maniculatus is an important indicator of human disease risk. Because the California Channel Islands contain permanent human settlements, receive hundreds of thousands of visitors each year, and can have extremely high densities of P. maniculatus, surveillance for SNV in island P. maniculatus is important for understanding the human risk of zoonotic disease. Despite the importance of surveillance on these heavily utilized islands, SNV prevalence (i.e. the proportion of P. maniculatus that test positive to antibodies to SNV) has not been examined in the last 13-27 years. We present data on 1,610 mice sampled for four consecutive years (2014-2017) on five of the California Channel Islands: East Anacapa, Santa Barbara, Santa Catalina, San Nicolas, and San Clemente. Despite historical data indicating SNV-positive mice on San Clemente and Santa Catalina, we detected no SNV-positive mice on these islands, suggesting very low prevalence or possible loss of SNV. Islands historically free of SNV (East Anacapa, Santa Barbara, and San Nicolas) remained free of SNV, suggesting that rates of pathogen introduction from other islands and/or the mainland are low. Although continued surveillance is warranted to determine whether SNV establishes on these islands, our work helps inform current human disease risk in these locations and suggests that SNV prevalence on these islands is currently very low.
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Affiliation(s)
- John L Orrock
- Department of Integrative Biology, University of Wisconsin, Madison, WI, USA
| | - Brian M Connolly
- Department of Biology, Eastern Michigan University, Ypsilanti, MI, USA
| | - Peter W Guiden
- Department of Biological Sciences, Northern Illinois University, DeKalb, IL, USA
| | - Jennifer L Chandler
- Department of Environmental Conservation, University of Massachusetts, Amherst, MA, USA
| | - Gebbiena M Bron
- Department of Entomology, University of Wisconsin, Madison, WI, USA
| | - Charles A Drost
- Southwest Biological Science Center, U.S. Geological Survey, Flagstaff, AZ, USA
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Ergenoğlu B, Ertekin Ö, Pirinçci Göktürk ŞŞ, Dinç GG, Akçael E, Bağirova M, Yücel F. ELISA-based competitive trypsin inhibition assay. BIOTECHNOL BIOTEC EQ 2021. [DOI: 10.1080/13102818.2021.1977697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Bengü Ergenoğlu
- Bioengineering Department, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, Esenler, Istanbul, Turkey
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
| | - Özlem Ertekin
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
| | - Şerife Şeyda Pirinçci Göktürk
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
| | - Göknur Gizem Dinç
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
| | - Esin Akçael
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
| | - Melahat Bağirova
- Microbiology Department, The V. Akhundov Scientific Research Medical Preventive Institute, Baku, Azerbaijan Republic
| | - Fatıma Yücel
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Marmara Research Center, Genetic Engineering and Biotechnology Institute, Gebze, Kocaeli, Turkey
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Gillen J, Bridgwater C, Nita-Lazar A. Approaching complexity: systems biology and ms-based techniques to address immune signaling. Expert Rev Proteomics 2020; 17:341-354. [PMID: 32552048 DOI: 10.1080/14789450.2020.1780920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Studying immune signaling has been critical for our understanding of immunology, pathogenesis, cancer, and homeostasis. To enhance the breadth of the analysis, high throughput methods have been developed to survey multiple areas simultaneously, including transcriptomics, reporter assays, and ELISAs. While these techniques have been extremely informative, mass-spectrometry-based technologies have been gaining momentum and starting to be widely used in the studies of immune signaling and systems immunology. AREAS COVERED We present established proteomic methods that have been used to address immune signaling and discuss the new mass-spectrometry- based techniques of interest to the expanding field of systems immunology. Established and new proteomic methods and their applications discussed here include post-translational modification analysis, protein quantification, secretome analysis, and interactomics. In addition, we present developments in small molecule and metabolite analysis, mass spectrometry imaging, and single cell analysis. Finally, we discuss the role of multi-omic integration in aiding leading edge investigation. EXPERT OPINION In science, available techniques enhance the breadth and depth of the studies. By incorporating proteomic techniques and their innovative use, it will be possible to expand the current studies and to address novel questions at the forefront of scientific discovery.
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Affiliation(s)
- Joseph Gillen
- Functional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA
| | - Caleb Bridgwater
- Functional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA
| | - Aleksandra Nita-Lazar
- Functional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA
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Anwar MA. Paper Based Vs Conventional Enzyme Linked Immuno-Sorbent Assay: A Review of Literature. ACTA ACUST UNITED AC 2016. [DOI: 10.15406/icpjl.2016.03.00079] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Guo S, Li X, Wan M, Hua L, Xiao Y, Dong B, Liu J, Diao W, Yu Y, Wang L. Impact of Fighting on Antibody Response to Hepatitis B Virus Vaccine in Mice. Viral Immunol 2015; 28:517-23. [PMID: 26417964 DOI: 10.1089/vim.2015.0022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Antibody responses to vaccines can be influenced by various behavioral and psychosocial factors. Few reports exist on the impact of fighting on antibody response to vaccines. This study unexpectedly found that fighting could significantly enhance antibody production in male mice immunized with hepatitis B virus (HBV) vaccines. To confirm the finding, a mouse-fighting model was established in which it was observed that only intense fighting, not mild fighting, enhanced the antibody response to HBV surface antigen in male mice, and that the frequency of fighting and active attacks during fighting showed no obvious relationship with the antibody levels in the male mice that experienced fighting. In addition, fighting can cause significant upregulation of CD80 in CD11c(+) cells in the spleen of male mice. These data suggest that fighting could influence the humoral immune response in individuals immunized with vaccines or infected with microbes.
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Affiliation(s)
- Sheng Guo
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Xin Li
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Min Wan
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Li Hua
- 2 Department of Immunology, College of Basic Medical Sciences, Norman Bethune Health Science Center, Jilin University , Changchun, China
| | - Yue Xiao
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Boqi Dong
- 2 Department of Immunology, College of Basic Medical Sciences, Norman Bethune Health Science Center, Jilin University , Changchun, China
| | - Jialin Liu
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Wenzhen Diao
- 1 Department of Molecular Biology, Jilin University , Changchun, China
| | - Yongli Yu
- 2 Department of Immunology, College of Basic Medical Sciences, Norman Bethune Health Science Center, Jilin University , Changchun, China
| | - Liying Wang
- 1 Department of Molecular Biology, Jilin University , Changchun, China
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