Protein crystallization for genomics: throughput versus output

Recrystallization: a method to improve the quality of protein crystals

The quality of protein crystals is an important parameter for structural determination with X-ray crystallography. Indeed, a prerequisite for obtaining high-resolution diffraction data is that the crystals be of sufficient quality. However, obtaining high-quality protein crystals is a well known bottleneck to protein structural determination that remains a difficult task. In this paper, it is demonstrated that recrystallization can be an effective method of improving the quality of protein crystals. Five proteins, lysozyme, proteinase K, concanavalin A, thaumatin and catalase, were used for this investigation, and the crystal quality of these proteins was examined using X-ray diffraction before and after recrystallization. Comparisons of the crystals before and after recrystallization verified that recrystallization not only enhanced the morphology of the crystals but also improved crystal quality. Therefore, it is proposed that recrystallization might be a useful alternative method for obtaining protein crystals with enhanced diffraction.

Advances in nanocrystallography as a proteomic tool

In order to overcome the difficulties and hurdles too much often encountered in crystallizing a protein with the conventional techniques, our group has introduced the innovative Langmuir-Blodgett (LB)-based crystallization, as a major advance in the field of both structural and functional proteomics, thus pioneering the emerging field of the so-called nanocrystallography or nanobiocrystallography. This approach uniquely combines protein crystallography and nanotechnologies within an integrated, coherent framework that allows one to obtain highly stable protein crystals and to fully characterize them at a nano- and subnanoscale. A variety of experimental techniques and theoretical/semi-theoretical approaches, ranging from atomic force microscopy, circular dichroism, Raman spectroscopy and other spectroscopic methods, microbeam grazing-incidence small-angle X-ray scattering to in silico simulations, bioinformatics, and molecular dynamics, has been exploited in order to study the LB-films and to investigate the kinetics and the main features of LB-grown crystals. When compared to classical hanging-drop crystallization, LB technique appears strikingly superior and yields results comparable with crystallization in microgravity environments. Therefore, the achievement of LB-based crystallography can have a tremendous impact in the field of industrial and clinical/therapeutic applications, opening new perspectives for personalized medicine. These implications are envisaged and discussed in the present contribution.

Crystal structure of an uncommon cellulosome-related protein module from Ruminococcus flavefaciens that resembles papain-like cysteine peptidases

Background

Ruminococcus flavefaciens is one of the predominant fiber-degrading bacteria found in the rumen of herbivores. Bioinformatic analysis of the recently sequenced genome indicated that this bacterium produces one of the most intricate cellulosome systems known to date. A distinct ORF, encoding for a multi-modular protein, RflaF_05439, was discovered during mining of the genome sequence. It is composed of two tandem modules of currently undefined function that share 45% identity and a C-terminal X-dockerin modular dyad. Gaining insight into the diversity, architecture and organization of different types of proteins in the cellulosome system is essential for broadening our understanding of a multi-enzyme complex, considered to be one of the most efficient systems for plant cell wall polysaccharide degradation in nature.

Methodology/Principal Findings

Following bioinformatic analysis, the second tandem module of RflaF_05439 was cloned and its selenium-labeled derivative was expressed and crystallized. The crystals belong to space group P2₁ with unit-cell parameters of a = 65.81, b = 60.61, c = 66.13 Å, β = 107.66° and contain two protein molecules in the asymmetric unit. The crystal structure was determined at 1.38-Å resolution by X-ray diffraction using the single-wavelength anomalous dispersion (SAD) method and was refined to R_factor and R_free of 0.127 and 0.152 respectively. The protein molecule mainly comprises a β-sheet flanked by short α-helixes, and a globular α-helical domain. The structure was found to be structurally similar to members of the NlpC/P60 superfamily of cysteine peptidases.

Conclusions/Significance

The 3D structure of the second repeat of the RflaF_05439 enabled us to propose a role for the currently undefined function of this protein. Its putative function as a cysteine peptidase is inferred from in silico structural homology studies. It is therefore apparent that cellulosomes integrate proteins with other functions in addition to the classic well-defined carbohydrate active enzymes.

Polarization-resolved second-harmonic generation microscopy as a method to visualize protein-crystal domains

Polarization-resolved second-harmonic generation (PR-SHG) microscopy is described and applied to identify the presence of multiple crystallographic domains within protein-crystal conglomerates, which was confirmed by synchrotron X-ray diffraction. Principal component analysis (PCA) of PR-SHG images resulted in principal component 2 (PC2) images with areas of contrasting negative and positive values for conglomerated crystals and PC2 images exhibiting uniformly positive or uniformly negative values for single crystals. Qualitative assessment of PC2 images allowed the identification of domains of different internal ordering within protein-crystal samples as well as differentiation between multi-domain conglomerated crystals and single crystals. PR-SHG assessments of crystalline domains were in good agreement with spatially resolved synchrotron X-ray diffraction measurements. These results have implications for improving the productive throughput of protein structure determination through early identification of multi-domain crystals.

High-throughput protein crystallization

Structural genomics projects have led to great progress in the field of structural biology. Considerable advances have been made in the automation of all stages of the pipeline from clone to structure. This chapter focuses on crystallization that is one of the major bottlenecks in this pipeline. It discusses new developments and describes a variety of techniques for high-throughput screening and optimizing of conditions for crystallization.

Solid-liquid interface method (SLIM): a new crystallization method for proteins

Despite impressive advances in theories, methods and technologies, crystallization still remains a serious bottleneck in structural determination of macromolecules. Here we present a novel solid-liquid interface method (SLIM) for protein crystallization, based on the pre-adding and drying of a crystallization reagent, and thereafter the dispensing of a protein solution to the dried media to initiate crystallization from the solid-liquid interface. Not only quick and easy to perform, the method also allows for a less concentrated protein solution for setting up crystallization trials.

Crystallization of soluble proteins in vapor diffusion for x-ray crystallography

The preparation of protein single crystals represents one of the major obstacles in obtaining the detailed 3D structure of a biological macromolecule. The complete automation of the crystallization procedures requires large investments in terms of money and labor, which are available only to large dedicated infrastructures and is mostly suited for genomic-scale projects. On the other hand, many research projects from departmental laboratories are devoted to the study of few specific proteins. Here, we try to provide a series of protocols for the crystallization of soluble proteins, especially the difficult ones, tailored for small-scale research groups. An estimate of the time needed to complete each of the steps described can be found at the end of each section.

Optimization techniques for automation and high throughput

The main effort in the area of crystallization for structural genomics is currently being invested in automation of high-throughput screening procedures to identify potential crystallization conditions. However, screening in itself, even in massive quantities, is not enough; it has to be complemented by an equally important procedure in crystal production, namely crystal optimization. This chapter describes optimization methods for turning low-quality crystals into useful diffracting ones and presents practical ways of automating such methods and adapting them to high throughput. The methods enable the control of the crystallization environment as the trial takes place. They include the use of oils, gels, and the uncoupling of the nucleation and growth phases of crystallization.

Recent applications of protein crystallography and structure-guided drug design

Technological advances to increase the throughput of purified protein production and co-crystallization of target proteins with small molecules have helped to solidify the role that structure via crystallography has on drug discovery. Visualization of how drug-like molecules bind to the target protein is a key step in driving follow-up or preclinical chemistry to improve characteristics of the molecule. Using structural information to guide small-molecule design and generate new chemical ideas is now a mainstay in the drug discovery process.

Benefits of automated crystallization plate tracking, imaging, and analysis

We describe the design of a database and software for managing and organizing protein crystallization data. We also outline the considerations behind the design of a fast web interface linking protein production data, crystallization images, and automated image analysis. The database and associated interfaces underpin the Oxford Protein Production Facility (OPPF) crystallization laboratory, collecting, in a routine and automatic manner, up to 100,000 images per day. Over 17 million separate images are currently held in this database. We discuss the substantial scientific benefits automated tracking, imaging, and analysis of crystallizations offers to the structural biologist: analysis of the time course of the trial and easy analysis of trials with related crystallization conditions. Features of this system address requirements common to many crystallographic laboratories that are currently setting up (semi-)automated crystallization imaging systems.

Seeing is believing: the impact of structural genomics on antimicrobial drug discovery

Over the past decade, the availability of complete microbial genome sequences has led to changes in the strategies that are used to search for novel anti-infectives. However, despite the identification of many new potential drug targets, novel antimicrobial agents have been slow to emerge from these efforts. In part, this reflects the long discovery and development times that are needed to bring new drugs to market and the bottlenecks at the stages of identifying good lead compounds and optimizing these leads into drug candidates. Structural genomics will hopefully provide opportunities to overcome these bottlenecks and populate the antimicrobial pipeline.