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Single cell analysis applied to antibody fragment production with Bacillus megaterium: development of advanced physiology and bioprocess state estimation tools.
- Source :
-
Microbial cell factories [Microb Cell Fact] 2011 Apr 15; Vol. 10, pp. 23. Date of Electronic Publication: 2011 Apr 15. - Publication Year :
- 2011
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Abstract
- Background: Single cell analysis for bioprocess monitoring is an important tool to gain deeper insights into particular cell behavior and population dynamics of production processes and can be very useful for discrimination of the real bottleneck between product biosynthesis and secretion, respectively.<br />Results: Here different dyes for viability estimation considering membrane potential (DiOC2(3), DiBAC4(3), DiOC6(3)) and cell integrity (DiBAC4(3)/PI, Syto9/PI) were successfully evaluated for Bacillus megaterium cell characterization. It was possible to establish an appropriate assay to measure the production intensities of single cells revealing certain product secretion dynamics. Methods were tested regarding their sensitivity by evaluating fluorescence surface density and fluorescent specific concentration in relation to the electronic cell volume. The assays established were applied at different stages of a bioprocess where the antibody fragment D1.3 scFv production and secretion by B. megaterium was studied.<br />Conclusions: It was possible to distinguish between live, metabolic active, depolarized, dormant, and dead cells and to discriminate between high and low productive cells. The methods were shown to be suitable tools for process monitoring at single cell level allowing a better process understanding, increasing robustness and forming a firm basis for physiology-based analysis and optimization with the general application for bioprocess development.
- Subjects :
- Bacillus megaterium genetics
Bacillus megaterium metabolism
Fluorescent Dyes chemistry
Gene Expression
Microbial Viability
Single-Chain Antibodies genetics
Staining and Labeling methods
Bacillus megaterium cytology
Flow Cytometry methods
Single-Cell Analysis methods
Single-Chain Antibodies metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1475-2859
- Volume :
- 10
- Database :
- MEDLINE
- Journal :
- Microbial cell factories
- Publication Type :
- Academic Journal
- Accession number :
- 21496219
- Full Text :
- https://doi.org/10.1186/1475-2859-10-23