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Related Experiment Video

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Microfluidic Preparation of Liquid Crystalline Elastomer Actuators

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Published on: May 20, 2018

Protein Crystallization in an Actuated Microfluidic Nanowell Device.

Bahige G Abdallah¹, Shatabdi Roy-Chowdhury¹, Raimund Fromme¹

¹School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.

Crystal Growth & Design

|September 30, 2016

Summary

This summary is machine-generated.

This study introduces a microfluidic nanowell device for protein crystallization, enabling phase diagram screening with nanoscale volumes. This automated, cost-effective tool significantly reduces protein consumption for structural biology research.

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Area of Science:

Structural Biology
Biophysics
Materials Science

Background:

Protein crystallization is a critical bottleneck in X-ray crystallography, often requiring large protein quantities and extensive screening.
Systematic phase diagram determination is challenging for proteins expressed in limited amounts.

Purpose of the Study:

To develop a microfluidic nanowell device for efficient protein crystallization and phase diagram screening.
To enable nanoscale crystallization trials with minimal protein consumption.

Main Methods:

Fabrication of a cost-effective, automated microfluidic nanowell device.
Generation of protein and precipitant concentration gradients for 170 unique trials.
Calibration using fluorescent dye and numerical modeling for concentration quantification.
Crystallization of lysozyme and C-phycocyanin.

Main Results:

Successful crystallization of lysozyme and C-phycocyanin using nanoscale volumes.
Quantification of crystal-forming concentrations and determination of crystallization phase diagrams.
Demonstration of compatibility with various imaging techniques (bright-field, UV fluorescence, nonlinear imaging).

Conclusions:

The microfluidic nanowell device offers an efficient, economical, and systematic approach to protein crystallization and phase diagram screening.
Low sample consumption and versatility make it a powerful tool for structural biology.
Potential for further downscaling and integration for broader applications.