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Updated: Aug 5, 2026

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Automated, High-Throughput Detection of Bacterial Adherence to Host Cells
Published on: September 17, 2021
Bacterial surface display enables lysis-independent joint host-pathogen single-cell profiling
Biorxiv : the Preprint Server for Biology
|August 1, 2026
Summary
We developed a novel method to simultaneously analyze host cells and intracellular bacteria, overcoming technical challenges. This approach allows for a unified understanding of host-pathogen interactions at the single-cell level.
Area of Science:
- Microbiology
- Immunology
- Genomics
Background:
- Host-pathogen interactions exhibit heterogeneity due to variations in both host and pathogen states.
- Current single-cell methods often analyze host and pathogen features separately, limited by technical mismatches.
- Existing techniques struggle with differences in cell wall structure, lysis requirements, and molecular abundance between host and pathogen.
Purpose of the Study:
- To develop a lysis-independent strategy for unified measurement of intracellular bacteria and host single-cell profiles.
- To enable joint profiling of host cell state and pathogen state simultaneously.
- To overcome technical limitations in current single-cell analysis of host-pathogen interactions.
Main Methods:
- Repurposed bacterial surface display to encode promoter activity and bacterial identity as antibody-detectable signals.
- Utilized antibody-based single-cell assays for unified measurement.
- Applied flow cytometry and droplet-based single-cell RNA sequencing for readout without pathogen-specific lysis.
Main Results:
- Demonstrated a lysis-independent strategy for joint host-pathogen single-cell measurements.
- Successfully linked heterogeneous bacterial uptake to heterogeneous host phagocytosis programs in macrophages.
- Showcased modularity across different bacterial species, including *Escherichia coli* and *Mycobacterium tuberculosis*.
Conclusions:
- The developed strategy enables scalable, joint host-pathogen single-cell measurements.
- Expanded the range of pathogens and states accessible to high-throughput single-cell analysis.
- Facilitates a deeper understanding of host-pathogen dynamics at the single-cell level.

