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Updated: Jul 18, 2026

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High-throughput Crystallization of Membrane Proteins Using the Lipidic Bicelle Method
Published on: January 9, 2012
Nanoliter microfluidic hybrid method for simultaneous screening and optimization validated with crystallization of
Liang Li1, Debarshi Mustafi, Qiang Fu
1Department of Chemistry and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.
Summary
This study introduces a hybrid microfluidic method for integrated screening and optimization, reducing false negatives and time delays. The nanoliter-scale approach minimizes sample use for efficient chemical and biological applications.
Area of Science:
- Biochemistry
- Molecular Biology
- Microfluidics
Background:
- High-throughput screening and optimization are vital in chemistry and biology.
- Separating screening from optimization can cause delays and false negatives.
- Miniaturization is essential for reducing sample consumption in these processes.
Purpose of the Study:
- To develop a hybrid droplet-based microfluidic method combining screening and optimization.
- To minimize sample consumption using nanoliter-sized plugs.
- To validate the method's applicability to challenging biological and chemical problems.
Main Methods:
- Sequential introduction of distinct reagents as ~140-nl plugs into a microfluidic device.
- Formation and incubation of ~10-nl plugs with controlled reagent concentrations.
- Demonstration of methods for plug concentration control, indexing, and evaporation-free incubation.
Main Results:
- Successfully integrated screening and optimization into a single experiment.
- Enabled ~1,300 crystallization trials from 10 microliters of protein solution in 20 minutes.
- Achieved high-resolution diffraction images and solved a crystal structure for membrane proteins.
Conclusions:
- The hybrid microfluidic method efficiently combines screening and optimization, minimizing sample use.
- The technique is robust, cost-effective, and suitable for individual laboratories.
- Applicable to diverse chemical, biochemical, and biological screening and optimization tasks.

