Mechanism-Based Allylic Carbasugar Chlorides That Form Covalent Intermediates with α- and β-Galactosidases.

Glycoside hydrolases have been implicated in a wide range of human conditions including lysosomal storage diseases. Consequently, many researchers have directed their efforts towards identifying new classes of glycoside hydrolase inhibitors, both synthetic and from natural sources. A large percentage of such inhibitors are reversible competitive inhibitors that bind in the active site often due to them possessing structural features, often a protonatable basic nitrogen atom, that mimic the enzymatic transition state.

Development of Tunable Mechanism-Based Carbasugar Ligands that Stabilize Glycoside Hydrolases through the Formation of Transient Covalent Intermediates.

Mutations in many members of the set of human lysosomal glycoside hydrolases cause a wide range of lysosomal storage diseases. As a result, much effort has been directed toward identifying pharmacological chaperones of these lysosomal enzymes. The majority of the candidate chaperones are active site-directed competitive iminosugar inhibitors but these have met with limited success.

Glycoside hydrolase stabilization of transition state charge: new directions for inhibitor design.

Carbasugars are structural mimics of naturally occurring carbohydrates that can interact with and inhibit enzymes involved in carbohydrate processing. In particular, carbasugars have attracted attention as inhibitors of glycoside hydrolases (GHs) and as therapeutic leads in several disease areas. However, it is unclear how the carbasugars are recognized and processed by GHs.

Structurally homologous sialidases exhibit a commonality in reactivity: Glycoside hydrolase-catalyzed hydrolysis of Kdn-thioglycosides.

Aspergillus fumigatus is one of the main causative agents of invasive aspergillosis, an often-lethal fungal disease that affects immunocompromised individuals. A. fumigatus produces a sialidase that cleaves the nine-carbon carbohydrate Kdn from glycoconjugates.

Conformationally Controlled Reactivity of Carbasugars Uncovers the Choreography of Glycoside Hydrolase Catalysis.

Glycoside hydrolases (GHs) catalyze hydrolyses of glycoconjugates in which the enzyme choreographs a series of conformational changes during the catalytic cycle. As a result, some GH families, including α-amylases (GH13), have their chemical steps concealed kinetically. To address this issue for a GH13 enzyme, we prepared seven cyclohexenyl-based carbasugars of α-d-glucopyranoside that we show are good covalent inhibitors of a GH13 yeast α-glucosidase.

Author Correction: Revealing the mechanism for covalent inhibition of glycoside hydrolases by carbasugars at an atomic level.

In the originally published version of this Article, the affiliation details for Tracey M. Gloster were incorrectly given as 'Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada'. The correct affiliation is 'Biomedical Sciences Research Complex, University of St Andrews, North Haugh, St Andrews, Fife, KY16 9ST, UK'.

Revealing the mechanism for covalent inhibition of glycoside hydrolases by carbasugars at an atomic level.

Mechanism-based glycoside hydrolase inhibitors are carbohydrate analogs that mimic the natural substrate's structure. Their covalent bond formation with the glycoside hydrolase makes these compounds excellent tools for chemical biology and potential drug candidates. Here we report the synthesis of cyclohexene-based α-galactopyranoside mimics and the kinetic and structural characterization of their inhibitory activity toward an α-galactosidase from Thermotoga maritima (TmGalA).

Method comparison for analyzing wound healing rates.

Wound healing scratch assay is a frequently used method to characterize cell migration, which is an important biological process in the course of development, tissue repair, and immune response for example. The measurement of wound healing rate, however, varies among different studies. Here we summarized these measurements into three types: (I) direct rate average; (II) regression rate average; and (III) average distance regression rate.

Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes.

This work includes the original data used to discover the gene ontology bias in transcriptomic analysis conducted by microarray and high throughput sequencing (Zhang et al., 2015) [1]. In the analysis, housekeeping genes were used to examine the differential detection ability by microarray and sequencing because these genes are probably the most reliably detected.

Membrane gene ontology bias in sequencing and microarray obtained by housekeeping-gene analysis.

Microarray (MA) and high-throughput sequencing are two commonly used detection systems for global gene expression profiling. Although these two systems are frequently used in parallel, the differences in their final results have not been examined thoroughly. Transcriptomic analysis of housekeeping (HK) genes provides a unique opportunity to reliably examine the technical difference between these two systems.