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Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

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Published on: January 16, 2021

High-throughput in situ experimental phasing.

Joshua M Lawrence¹, Julien Orlans¹, Gwyndaf Evans¹

¹Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.

Acta Crystallographica. Section D, Structural Biology

|August 4, 2020

Summary

This summary is machine-generated.

This study introduces automated robotics for experimental phasing in macromolecular crystallography (MX). This multi-crystal approach minimizes human intervention for efficient crystal derivatization and phasing.

Keywords:

crystal soaking experimental phasing high throughput in situ crystallography isomorphism

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Area of Science:

Structural Biology
Crystallography
Biophysics

Background:

Macromolecular crystallography (MX) is crucial for determining protein structures.
Experimental phasing methods are essential for solving the phase problem in MX.
Traditional experimental phasing can be labor-intensive and time-consuming.

Purpose of the Study:

To introduce and describe a novel, automated approach for experimental phasing in MX.
To reduce human intervention in crystal derivatization and data collection.
To improve the efficiency and success rate of experimental phasing.

Main Methods:

Utilized automated robotics, specifically a Labcyte Inc. Echo 550 Liquid Handler, for high-throughput sample manipulation.
Employed a multi-crystal framework for automated soaking in heavy-atom solutions to generate derivatized and isomorphous crystals.
Integrated an in situ data collection setup on MX beamlines for processing partial data sets.

Main Results:

Demonstrated successful generation of derivatized and isomorphous crystals through automated soaking.
Obtained partial data sets amenable to processing for anomalous signal generation.
Achieved good-quality anomalous signal, leading to successful experimental phasing.

Conclusions:

The novel automated, multi-crystal approach significantly enhances experimental phasing efficiency in MX.
Reduced human intervention and optimized sample handling contribute to higher success rates.
This method offers a streamlined workflow for macromolecular structure determination.