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A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
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Microfluidics-Enabled Enzyme Activity Measurement in Single Cells.

Cinzia Tesauro1, Rikke Frøhlich1, Magnus Stougaard2

  • 1Department of Molecular Biology and Genetics, Aarhus University, C.F. Mollers Alle 3, Building 1131, locale 328, 8000, Aarhus C, Denmark.

Methods in Molecular Biology (Clifton, N.J.)
|November 7, 2015
PubMed
Summary

This study introduces a sensitive platform for measuring enzyme activity in single cells. Combining rolling circle-enhanced enzyme activity detection (REEAD) with microfluidics, it addresses cellular heterogeneity challenges.

Keywords:
Enzyme activityHuman topoisomerase IMicrofluidicsRolling circle amplificationSingle-cell analysisSingle-molecule detection

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Microfluidics

Background:

  • Cellular heterogeneity poses challenges in biological studies, as ensemble averages obscure individual cell responses.
  • Understanding single-cell behavior is crucial for accurate biological interpretation.

Purpose of the Study:

  • To develop a highly sensitive platform for measuring enzymatic activity at the single-cell level.
  • To overcome limitations of ensemble-based analyses in studying cellular heterogeneity.

Main Methods:

  • Integration of a rolling circle-enhanced enzyme activity detection (REEAD) assay with droplet microfluidics.
  • Utilizing single-molecule sensitivity of REEAD for detecting enzymatic activities at the single catalytic event level.
  • Employing microfluidics for efficient single-cell isolation and picoliter droplet confinement.

Main Results:

  • The platform achieves single-molecule sensitivity for enzymatic activity detection.
  • Droplet microfluidics enhances enzyme extraction and reaction kinetics from individual cells.
  • Successfully enables the isolation and analysis of single cells.

Conclusions:

  • The developed platform offers a novel approach for single-cell research.
  • It provides a powerful tool for elucidating cellular heterogeneity by analyzing enzymatic activity at the single-cell level.
  • Expected to open new avenues in understanding cell-to-cell variations.