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Updated: Apr 15, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
Published on: January 17, 2015
Selection of cell-type specific antibodies on tissue-sections using phage display.
Simon Asbjørn Larsen1, Theresa Meldgaard2, Simon Lykkemark3,4
1Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
This study introduces a novel phage antibody technology for identifying biomarkers in specific cell sub-populations within tissues. This method enhances biomarker discovery by analyzing cells directly in their native microenvironment.
Area of Science:
- Biotechnology
- Proteomics
- Immunology
Background:
- Single-cell analysis reveals small cell populations can dictate tissue phenotype.
- Proteomic single-cell analysis in tissue lags behind nucleic acid technologies.
- In vitro studies can introduce artifacts, limiting biomarker clinical relevance.
Purpose of the Study:
- To develop a technology for biomarker identification in small cell sub-populations within intact tissue sections.
- To enable the discovery of novel, tissue-specific biomarkers.
- To overcome limitations of current proteomic single-cell analysis methods.
Main Methods:
- Application of phage antibody libraries to tissue sections.
- Washing to remove non-bound phage particles.
- Utilizing a 'shadow stick' and UV light exposure to isolate specific phage antibodies targeting unique cellular biomarkers.
Main Results:
- Successful isolation of recombinant antibodies targeting biomarkers expressed by specific cell populations or their microenvironment.
- Demonstrated application of the technology using CD31-expressing endothelial cells as a guide.
- Validated a method for in-situ biomarker discovery within tissue.
Conclusions:
- The developed phage antibody technology enables targeted biomarker discovery within specific cell sub-populations in tissue.
- This approach facilitates the identification of clinically relevant biomarkers unique to tissue microenvironments.
- The method offers a significant advancement for single-cell proteomic analysis in complex biological samples.
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