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Fluorescence-activated cell sorting of specific affibody-displaying staphylococci
Henrik Wernérus1, Patrik Samuelson, Stefan Ståhl
1Department of Biotechnology, AlbaNova University Center, Royal Institute of Technology (KTH), SE-106 91 Stockholm, Sweden.
Applied and Environmental Microbiology
|September 6, 2003
Summary
This study shows that displaying affinity ligands on Staphylococcus cells using fluorescence-activated cell sorting is efficient. This bacterial surface display method offers a new way to select proteins with specific binding properties.
Area of Science:
- Microbiology
- Biotechnology
- Protein Engineering
Background:
- Bacterial surface display is a powerful tool for protein engineering, primarily explored in gram-negative bacteria.
- Gram-positive bacteria, like Staphylococcus, offer alternative systems for surface display applications.
Purpose of the Study:
- To evaluate the potential of Staphylococcus carnosus, a gram-positive bacterium, for surface display of affinity ligands.
- To demonstrate efficient enrichment of cells displaying specific heterologous affinity ligands using fluorescence-activated cell sorting (FACS).
Main Methods:
- Utilized the established surface expression system in Staphylococcus carnosus.
- Expressed Staphylococcus aureus protein A domains with known (IgG) and engineered (RSV G protein) specificities on the bacterial surface.
- Employed whole-cell enzyme assays and flow cytometry to confirm surface accessibility and binding specificity.
- Applied high-stringency FACS for quantitative cell sorting and enrichment.
Main Results:
- Successfully displayed functional affinity ligands (Staphylococcus protein A domains) on the surface of Staphylococcus carnosus.
- Demonstrated retained binding specificity of the displayed proteins to their targets (IgG and RSV G protein).
- Achieved highly efficient enrichment of target cells (over 25,000-fold in two rounds) using FACS, even from excess background cells.
Conclusions:
- Staphylococcal surface display combined with FACS is a viable and attractive alternative for affinity-based protein library selection.
- This method offers efficient enrichment, potentially surpassing existing technology platforms for protein engineering and discovery.