Pekle, Eva, Smith, Andrew, Rosignoli, Guglielmo, Sellick, Christopher, Smales, Christopher Mark, Pearce, Claire (2019) Application of Imaging Flow Cytometry for the Characterization of Intracellular Attributes in Chinese Hamster Ovary Cell Lines at the Single Cell Level. Biotechnology Journal, . Article Number 1800675. ISSN 1860-6768. (doi:10.1002/biot.201800675) (KAR id:73370)
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Official URL: https://doi.org/10.1002/biot.201800675 |
Abstract
Biopharmaceutical manufacturing using Chinese hamster ovary (CHO) cells requires the
generation of high-producing clonal cell lines. During cell line development, cell cloning using
fluorescence activated cell sorting (FACS) has the potential to combine isolation of single cells
with sorting based on specific cellular attributes that correlate with productivity and/or growth,
identifying cell lines with desirable phenotypes for manufacturing. This study describes the
application of imaging flow cytometry (IFC) to characterize recombinant cell lines at the single
cell level to identify cell attributes predictive of productivity. IFC assays to quantify organelle
content, and recombinant heavy (HC) and light (LC) chain polypeptide and mRNA amounts in
single cells were developed. The assays were then validated against orthogonal standard flow
cytometry, western blot and qRT-PCR methods. We describe how these IFC assays may be
used in cell line development and show how cellular properties can be correlated with
productivity at the single cell level, allowing the isolation of such cells during the cloning
process. Our analysis found HC polypeptide and mRNA to be predictive of productivity early
in the culture, however specific organelle content did not show any correlation with
productivity.
Item Type: | Article |
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DOI/Identification number: | 10.1002/biot.201800675 |
Uncontrolled keywords: | Chinese hamster ovary (CHO) cells, Single cell imaging, Imaging flow cytometry, organelles |
Divisions: | Divisions > Division of Natural Sciences > Biosciences |
Depositing User: | Mark Smales |
Date Deposited: | 04 Apr 2019 10:16 UTC |
Last Modified: | 05 Nov 2024 12:36 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/73370 (The current URI for this page, for reference purposes) |
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