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Functional analysis of single enzymes combining programmable molecular circuits with droplet-based microfluidics
Guillaume Gines1, Rocίo Espada2, Adèle Dramé-Maigné2
1Laboratoire Gulliver, UMR7083 CNRS/ESPCI Paris-PSL Research University, Paris, France. guillaume.gines@espci.fr.
Nature Nanotechnology
|February 27, 2024
Summary
Digital PUMA (Programmable Ultrasensitive Molecular Amplifier) enables ultrasensitive, single-molecule enzyme quantification for virtually any DNA-related enzyme. This digital counting method reveals enzyme activity distributions and inactive catalysts, expanding diagnostic and biotechnological applications.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- Ensemble-averaged techniques mask single-molecule protein behaviors.
- Traditional digital enzyme quantification relies on linear amplification and is limited to high-turnover enzymes.
- There is a need for sensitive methods to quantify diverse enzymes at the single-molecule level.
Purpose of the Study:
- To develop a novel method for ultrasensitive, single-molecule quantification of DNA-related enzymes.
- To expand the range of enzymes amenable to single-molecule analysis.
- To investigate enzyme activity heterogeneity and inactivation pathways.
Main Methods:
- Integration of an exponential molecular amplifier with DNA-enzyme circuits and droplet microfluidics.
- Development of digital PUMA (Programmable Ultrasensitive Molecular Amplifier) assay.
- Validation across diverse enzymes, including low-turnover enzymes and Cas9 variants.
Main Results:
- Digital PUMA enables specific detection and absolute molar quantification of virtually any DNA-related enzyme at the single-molecule level.
- The method successfully quantified numerous enzymes, including those with slow catalytic rates and Streptococcus pyogenes Cas9 at single turnover.
- Analysis revealed a significant fraction of inactive enzymes in commercial preparations and provided insights into enzyme inactivation pathways.
Conclusions:
- Digital PUMA significantly broadens the scope of enzymes quantifiable at single-molecule resolution.
- The technology offers a versatile framework for accurate enzyme quantification in diagnostics and biotechnology.
- This approach facilitates the study of protein functional heterogeneity and the origins of enzyme inactivation.

