Conversion of cyclodextrin glycosyltransferase into a starch hydrolase by directed evolution: the role of alanine 230 in acceptor subsite +1

Cyclodextrin glycosyltransferase (CGTase) preferably catalyzes transglycosylation reactions, whereas many other alpha-amylase family enzymes are hydrolases. Despite the availability of three-dimensional structures of several transglycosylases and hydrolases of this family, the factors that determine the hydrolysis and transglycosylation specificity are far from understood. To identify the amino acid residues that are critical for the transglycosylation reaction specificity, we carried out error-prone PCR mutagenesis and screened for Bacillus circulans strain 251 CGTase mutants with increased hydrolytic activity. After three rounds of mutagenesis the hydrolytic activity had increased 90-fold, reaching the highest hydrolytic activity ever reported for a CGTase. The single mutation with the largest effect (A230V) occurred in a residue not studied before. The structure of this A230V mutant suggests that the larger valine side chain hinders substrate binding at acceptor subsite +1, although not to the extent that catalysis is impossible. The much higher hydrolytic than transglycosylation activity of this mutant indicates that the use of sugar acceptors is hindered especially. This observation is in favor of a proposed induced-fit mechanism, in which sugar acceptor binding at acceptor subsite +1 activates the enzyme in transglycosylation [Uitdehaag et al. (2000) Biochemistry 39, 7772-7780]. As the A230V mutation introduces steric hindrance at subsite +1, this mutation is expected to negatively affect the use of sugar acceptors. Thus, the characteristics of mutant A230V strongly support the existence of the proposed induced-fit mechanism in which sugar acceptor binding activates CGTase in a transglycosylation reaction.     

GeneHopper: a web-based search engine to link gene-expression platforms through GenBank accession numbers

Global gene-expression analysis is carried out using different technologies that are either array- or sequence-tag-based. To compare experiments that are performed on these different platforms, array probes and sequence tags need to be linked. An additional challenge is cross-referencing between species, to compare human profiles with those obtained in a mouse model, for example. We have developed the web-based search engine GeneHopper to link different expression resources based on UniGene clusters and HomoloGene orthologs databases of the National Center for Biotechnology Information (NCBI).     

History of Protein Data Bank Japan: standing at the beginning of the age of structural genomics

Prof. Haruki Nakamura, who is the former head of Protein Data Bank Japan (PDBj) and an expert in computational biology, retired from Osaka University at the end of March 2018. He founded PDBj at the Institute for Protein Research, together with other faculty members, researchers, engineers, and annotators in 2000, and subsequently established the worldwide Protein Data Bank (wwPDB) in 2003 to manage the core archive of the Protein Data Bank (PDB), collaborating with RCSB-PDB in the USA and PDBe in Europe. As the former head of PDBj and also an expert in structural bioinformatics, he has grown PDBj to become a well-known data center within the structural biology community and developed several related databases, tools and integrated with new technologies, such as the semantic web, as primary services offered by PDBj.     

Hinge Twists and Population Shifts Deliver Regulated Catalysis for ATP-PRT in Histidine Biosynthesis

Allosteric regulation plays an important role in the control of metabolic flux in biosynthetic pathways. In microorganisms, many enzymes in these pathways adopt different strategies of allostery to allow the tuning of their activities in response to metabolic demand. Thus, it is important to uncover the mechanism of allosteric signal transmission to fully comprehend the complex control of enzyme function and its evolution. ATP-phosphoribosyltransferase (ATP-PRT), as the first enzyme in the histidine biosynthetic pathway, is allosterically regulated by histidine and offers a good platform for the study of allostery. Two forms of ATP-PRT, namely long and short forms, were discovered that show different arrangements of their regulatory machinery. Crystal structures of the long-form ATP-PRT have revealed overall conformational changes in the inhibited state, but the observed changes in the active state are quite subtle, making the elucidation of its allosteric mechanism difficult. Here, we combine computational methods (ligand docking, quantum mechanics/molecular mechanics optimization, and molecular dynamic simulations) with experimental studies to probe the signal transmission between remote allosteric and active sites. Our results reveal that distinct conformational ensembles of the catalytic domain with different dynamic properties exist in the ligand-free and histidine-bound enzymes. These ensembles display different capabilities in supporting the catalytic and allosteric function of ATP-PRT. The findings give insight into the underlying mechanism of allostery and allow us to propose that the hinge twisting within the catalytic domain is the key for both enhancement of catalysis and provision of regulation in ATP-PRT enzymes.     

Genetic Variation of the Fc Gamma Receptor 3B Gene and Association with Rheumatoid Arthritis

Background

Fc gamma receptors (FcγRs) play a crucial role in immunity by linking IgG antibody-mediated responses with cellular effector and regulatory functions. Genetic variants in these receptors have been previously identified as risk factors for several chronic inflammatory conditions. The present study aimed to investigate the presence of copy number variations (CNVs) in the FCGR3B gene and its potential association with the autoimmune disease rheumatoid arthritis (RA).

Methodology/Principal Findings

CNV of the FCGR3B gene was studied using Multiplex Ligation Dependent Probe Amplification (MLPA) in 518 Dutch RA patients and 304 healthy controls. Surprisingly, three independent MLPA probes targeting the FCGR3B promoter measured different CNV frequencies, with probe#1 and #2 measuring 0 to 5 gene copies and probe#3 showing little evidence of CNV. Quantitative-PCR correlated with the copy number results from MLPA probe#2, which detected low copy number (1 copy) in 6.7% and high copy number (≥3 copies) in 9.4% of the control population. No significant difference was observed between RA patients and the healthy controls, neither in the low copy nor the high copy number groups (p-values = 0.36 and 0.71, respectively). Sequencing of the FCGR3B promoter region revealed an insertion/deletion (indel) that explained the disparate CNV results of MLPA probe#1. Finally, a non-significant trend was found between the novel -256A>TG indel and RA (40.7% in healthy controls versus 35.9% in RA patients; P = 0.08).

Conclusions/Significance

The current study highlights the complexity and poor characterization of the FCGR3B gene sequence, indicating that the design and interpretation of genotyping assays based on specific probe sequences must be performed with caution. Nonetheless, we confirmed the presence of CNV and identified novel polymorphisms in the FCGR3B gene in the Dutch population. Although no association was found between RA and FCGR3B CNV, the possible protective effect of the -256A>TG indel polymorphism must be addressed in larger studies.     

Phenotypically concordant and discordant monozygotic twins display different DNA copy-number-variation profiles

The exploration of copy-number variation (CNV), notably of somatic cells, is an understudied aspect of genome biology. Any differences in the genetic makeup between twins derived from the same zygote represent an irrefutable example of somatic mosaicism. We studied 19 pairs of monozygotic twins with either concordant or discordant phenotype by using two platforms for genome-wide CNV analyses and showed that CNVs exist within pairs in both groups. These findings have an impact on our views of genotypic and phenotypic diversity in monozygotic twins and suggest that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool for identifying disease-predisposition loci. Our results also imply that caution should be exercised when interpreting disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics.