Hai-Sheng Li

A containerless levitation setup for liquid processing in a superconducting magnet

Containerless processing of materials is considered beneficial for obtaining high quality products due to the elimination of the detrimental effects coming from the contact with container walls. Many containerless processing methods are realized by levitation techniques. This paper describes a containerless levitation setup that utilized the magnetization force generated in a gradient magnetic field. It comprises a levitation unit, a temperature control unit, and a real-time observation unit. Known volume of liquid diamagnetic samples can be levitated in the levitation chamber, the temperature of which is controlled using the temperature control unit. The evolution of the levitated sample is observed in real time using the observation unit. With this setup, containerless processing of liquid such as crystal growth from solution can be realized in a well-controlled manner. Since the levitation is achieved using a superconducting magnet, experiments requiring long duration time such as protein crystallization and simulation of space environment for living system can be easily succeeded.

Interferometry measurement of protein concentration evolution during crystallization and dissolution with improved reliability and versatility

Interferometry is a widely used technique for real-time monitoring of concentration variation during processes in a solution like crystal growth and dissolution. This paper reports a protein concentration measurement system using a conventional Mach–Zehnder interferometer that allows monitoring the time course evolution of the protein concentration distribution during the processes of crystallization or dissolution. The demonstrated method showed improved reliability and versatility in that it (1) enables measurements under versatile temperature conditions and (2) eliminates the unpredictable errors caused by the environmental disturbances. The measurement system described in this paper can also be applied in measurements in other solution systems.

Sensitivity of lysozyme crystallization to temperature variation

Environments with varying temperatures have been shown to beneficially increase the probability of obtaining protein crystals. Therefore, a cycling temperature strategy (CTS) has been proposed for protein crystallization screening. During the practical application of this strategy, it is necessary to know the effective temperature range that promotes crystallization to design a suitable temperature program. In this paper, the effects of different temperature ranges on lysozyme crystallization (or more specifically, nucleation) were investigated. The results show that a small periodic variation in the temperature range of as little as 0.4 K can have a significant effect on the crystallization success rate under some crystallization concentration conditions, confirming that crystallization of lysozyme is very sensitive to temperature variation. Because practical protein crystallization is always performed in an environment with slight temperature variations, the sensitivity of protein crystallization to temperature may provide an explanation for the poor reproducibility of protein crystallization. Further investigation of the CTS on lysozyme crystallization showed that a cycling temperature strategy exerts an effect on protein crystallization by altering the supersaturation caused by changes in temperature.

Correlation Between Protein Sequence Similarity and X-Ray Diffraction Quality in the Protein Data Bank

As the most widely utilized technique to determine the 3-dimensional structure of protein molecules, X-ray crystallography can provide structure of the highest resolution among the developed techniques. The resolution obtained via X-ray crystallography is known to be influenced by many factors, such as the crystal quality, diffraction techniques, and X-ray sources, etc. In this paper, the authors found that the protein sequence could also be one of the factors. We extracted information of the resolution and the sequence of proteins from the Protein Data Bank (PDB), classified the proteins into different clusters according to the sequence similarity, and statistically analyzed the relationship between the sequence similarity and the best resolution obtained. The results showed that there was a pronounced correlation between the sequence similarity and the obtained resolution. These results indicate that protein structure itself is one variable that may affect resolution when X-ray crystallography is used.