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Altan S, Amaratunga D, Cabrera J, Garren J, Geys H, Kolassa J, LeBlond D, Li D, Liao J, Liu J, Lubomirski M, Miro-Quesada G, Novick S, Otava M, Peterson J, Reckermann K, Schofield T, Tan C, Tatikola K, Tekle F, Thomas J, Vukovinsky K. Survey and Recommendations on the Use of P-Values Driving Decisions in Nonclinical Pharmaceutical Applications. Stat Biopharm Res 2022. [DOI: 10.1080/19466315.2022.2038258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | - Jia Liu
- Pfizer Inc, Andover, Ma, 01810
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Harris C, Xu W, Grassi L, Wang C, Markle A, Hardman C, Stevens R, Miro-Quesada G, Hatton D, Wang J. Identification and characterization of an IgG sequence variant with an 11 kDa heavy chain C-terminal extension using a combination of mass spectrometry and high-throughput sequencing analysis. MAbs 2019; 11:1452-1463. [PMID: 31570042 PMCID: PMC6816433 DOI: 10.1080/19420862.2019.1667740] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Protein primary structure is a potential critical quality attribute for biotherapeutics. Identifying and characterizing any sequence variants present is essential for product development. A sequence variant ~11 kDa larger than the expected IgG mass was observed by size-exclusion chromatography and two-dimensional liquid chromatography coupled with online mass spectrometry. Further characterization indicated that the 11 kDa was added to the heavy chain (HC) Fc domain. Despite the relatively large mass addition, only one unknown peptide was detected by peptide mapping. To decipher the sequence, the transcriptome of the manufacturing cell line was characterized by Illumina RNA-seq. Transcriptome reconstruction detected an aberrant fusion transcript, where the light chain (LC) constant domain sequence was fused to the 3ʹ end of the HC transcript. Translation of this fusion transcript generated an extended peptide sequence at the HC C-terminus corresponding to the observed 11 kDa mass addition. Nanopore-based genome sequencing showed multiple copies of the plasmid had integrated in tandem with one copy missing the 5ʹ end of the plasmid, deleting the LC variable domain. The fusion transcript was due to read-through of the HC terminator sequence into the adjacent partial LC gene and an unexpected splicing event between a cryptic splice-donor site at the 3ʹ end of the HC and the splice acceptor site at the 5ʹ end of the LC constant domain. Our study demonstrates that combining protein physicochemical characterization with genomic and transcriptomic analysis of the manufacturing cell line greatly improves the identification of sequence variants and understanding of the underlying molecular mechanisms.
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Affiliation(s)
- Claire Harris
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Cambridge , UK
| | - Weichen Xu
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg , MD , USA
| | - Luigi Grassi
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Cambridge , UK
| | - Chunlei Wang
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg , MD , USA
| | - Abigail Markle
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg , MD , USA
| | - Colin Hardman
- Data Science & Artificial Intelligence, BioPharmaceuticals R&D, AstraZeneca , Cambridge , UK
| | - Richard Stevens
- Antibody Discovery and Protein Engineering, BioPharmaceuticals R&D, AstraZeneca , Cambridge , UK
| | - Guillermo Miro-Quesada
- Data & Quantitative Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg , MD , USA
| | - Diane Hatton
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Cambridge , UK
| | - Jihong Wang
- Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg , MD , USA
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Wang B, Albanetti T, Miro-Quesada G, Flack L, Li L, Klover J, Burson K, Evans K, Ivory W, Bowen M, Schoner R, Hawley-Nelson P. High-throughput screening of antibody-expressing CHO clones using an automated shaken deep-well system. Biotechnol Prog 2018; 34:1460-1471. [PMID: 30298994 PMCID: PMC6587815 DOI: 10.1002/btpr.2721] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/30/2018] [Accepted: 09/20/2018] [Indexed: 12/15/2022]
Abstract
Biopharmaceutical protein manufacturing requires the highest producing cell lines to satisfy current multiple grams per liter requirements. Screening more clones increases the probability of identifying the high producers within the pool of available transfectant candidate cell lines. For the predominant industry mammalian host cell line, Chinese hamster ovary (CHO), traditional static‐batch culture screening does not correlate with the suspension fed‐batch culture used in manufacturing, and thus has little predictive utility. Small scale fed‐batch screens in suspension culture correlate better with bioreactor processes but a limited number of clones can be screened manually. Scaled‐down systems, such as shaken deep well plates, combined with automated liquid handling, offer a way for a limited number of scientists to screen many clones. A statistical analysis determined that 384 is the optimal number of clones to screen, with a 99% probability that six clones in the 95th percentile for productivity are included in the screen. To screen 384 clones efficiently by the predictive method of suspension fed‐batch, the authors developed a shaken deep‐well plate culturing platform, with an automated liquid handling system integrating cell counting and protein titering instruments. Critical factors allowing deep‐well suspension culture to correlate with shake flask culture were agitation speed and culture volume. Using our automated system, one scientist can screen five times more clones than by manual fed‐batch shake‐flask or shaken culture tube screens and can identify cell lines for some therapeutic protein projects with production levels greater than 6 g/L. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1460–1471, 2018
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Affiliation(s)
- Benjamin Wang
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Thomas Albanetti
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | | | - Layla Flack
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Lina Li
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Judith Klover
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Kerri Burson
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Krista Evans
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - William Ivory
- Analytical Biochemistry, MedImmune, Gaithersburg, Maryland, 20878
| | - Michael Bowen
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Ronald Schoner
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
| | - Pamela Hawley-Nelson
- Cell Culture and Fermentation Sciences, MedImmune, Gaithersburg, Maryland, 20878
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Klottrup KJ, Miro-Quesada G, Flack L, Pereda I, Hawley-Nelson P. Measuring the aggregation of CHO cells prior to single cell cloning allows a more accurate determination of the probability of clonality. Biotechnol Prog 2017; 34:593-601. [PMID: 28556621 DOI: 10.1002/btpr.2500] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 05/14/2017] [Indexed: 11/11/2022]
Abstract
The manufacturing process for biotherapeutics is closely regulated by the Food and Drug Administration (FDA), European Medicines Agency (EMA) and other regulatory agencies worldwide. To ensure consistency of the product of a manufacturing cell line, International Committee on Harmonization guidelines (Q5D, 1997) state that the cell substrate should be derived from a single cell progenitor, i.e., clonal.Cell lines in suspension culture may naturally revert to cell adhesion in the form of doublets, triplets and higher order structures of clustered cells. We can show evidence of a single colony from limiting dilution cloning or in semi-solid media, but we cannot determine the number of cells from which the colony originated. To address this, we have used the ViCELL® XR (Beckman Coulter, High Wycombe, UK) cell viability analyzer to determine the proportion of clusters of two or more cells in a sample of the cell suspension immediately prior to cloning. Here, we show data to define the accuracy of the ViCELL for characterizing a cell suspension and summarize the statistical model combining two or more rounds of cloning to derive the probability of clonality. The resulting statistical model is applied to cloning in semi-solid medium, but could equally be applied to a limiting dilution cloning process. We also describe approaches to reduce cell clusters to generate a cell line with a high probability of clonality from a CHO host lineage. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:593-601, 2018.
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Affiliation(s)
- Kerensa J Klottrup
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Cambridge, CB21 6GH, UK
| | - Guillermo Miro-Quesada
- Data Management and Quantitative Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD, 20878
| | | | - Ivan Pereda
- R&D Informatics, AstraZeneca, Cambridge, CB21 6GH, UK
| | - Pamela Hawley-Nelson
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD, 20878
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Evans K, Albanetti T, Venkat R, Schoner R, Savery J, Miro-Quesada G, Rajan B, Groves C. Assurance of monoclonality in one round of cloning through cell sorting for single cell deposition coupled with high resolution cell imaging. Biotechnol Prog 2015; 31:1172-8. [PMID: 26195345 PMCID: PMC5054913 DOI: 10.1002/btpr.2145] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Revised: 06/08/2015] [Indexed: 12/17/2022]
Abstract
Regulatory authorities require that cell lines used in commercial production of recombinant proteins must be derived from a single cell progenitor or clone. The limiting dilution method of cell cloning required multiple rounds of low-density cell plating and microscopic observation of a single cell in order to provide evidence of monoclonality. Other cloning methods rely on calculating statistical probability of monoclonality rather than visual microscopic observation of cells. We have combined the single cell deposition capability of the Becton Dickinson Influx™ cell sorter with the microscopic imaging capability of the SynenTec Cellavista to create a system for producing clonal production cell lines. The efficiency of single cell deposition by the Influx™ was determined to be 98% using fluorescently labeled cells. The centrifugal force required to settle the deposited cells to the bottom of the microplate well was established to be 1,126g providing a 98.1% probability that all cells will be in the focal plane of the Cellavista imaging system. The probability that a single cell was deposited by the cell sorter combined with the probability of every cell settling into the focal plane of the imager yield a combined >99% probability of documented monoclonality.
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Affiliation(s)
- Krista Evans
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD , 20878
| | - Thomas Albanetti
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD , 20878
| | - Raghavan Venkat
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD , 20878
| | - Ronald Schoner
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, MedImmune, Gaithersburg, MD , 20878
| | - James Savery
- Data Management and Quantitative Sciences, MedImmune, Gaithersburg, MD , 20878
| | | | - Bhargavi Rajan
- Respiratory, Inflammation and Autoimmunity, MedImmune, Gaithersburg, MD , 20878
| | - Christopher Groves
- Respiratory, Inflammation and Autoimmunity, MedImmune, Gaithersburg, MD , 20878
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