As the understanding of variation is the key to a good process and product quality one should pay attention to dynamics on the single-cell level. The basic idea of this approach was to qualify and quantify variations on the single-cell level during bioreactor cultivations by monitoring the expression of an eGFP tagged target protein (human membrane protein) using fully automated real-time, flow injection flow cytometry (FI-FCM). The FI-FCM system consists of a sampling- and defoaming- as well as of a dilution-section. It allows a very short monitoring interval (5 min) and is able to dilute the reactor sample by a factor ranging up to more than 10,000. In bioreactor cultivations of recombinant Pichia pastoris expressing the eGFP tagged target protein, high correlations (R(2)≥ 0.97) between the FI-FCM fluorescent signal and other, however, population-averaged fluorescence signals (off-line fluorescence, in situ fluorescence probe) were obtained. FI-FCM is the only method able to distinguish between few cells with high fluorescence and many cells with low fluorescence intensity and proved that cells differ significantly from each other within the population during bioreactor cultivations. Single-cell fluorescence was distributed over a broad range within the cell population. These distributions strongly suggest that (a) the AOX-I promoter is leaky and (b) a fraction of the population is able to express more protein of interest within shorter time and (c) a fraction of the population does not express the fusion protein at all. These findings can help in the selection of high producing, stable strains. To show the platform-independency of the system, it has successfully been tested during bioreactor cultivations of three different strains (P. pastoris, Saccharomyces cerevisiae, Escherichia coli). Along with its applications in PAT, the FI-FCM could be used as a platform-independent (prokaryotes and eukaryotes) method in various other applications; for example in the closed-loop-control of bioprocesses using different kinds of fluorescent reporters, (waste- and drinking-) water analysis, clone selection in combination with FACS or even for surgery applications.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Increase the total number of rows showing on this page by using the pull-down located below the table, or use the page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column header to sort by that column; filter the table using the "Filter" box at the top of the table; click on the small "i" buttons located within a cell for an annotation to view further details about experiment type and any other genes involved in the interaction.
Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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