The hydrolysis of biomass to fermentable sugars using glycosyl hydrolases such as cellulases and hemicellulases is a limiting and costly step in the conversion of biomass to biofuels. Enhancement in hydrolysis efficiency is necessary and requires improvement in both enzymes and processing strategies. Advances in both areas in turn strongly depend on the progress in developing high-throughput assays to rapidly and quantitatively screen a large number of enzymes and processing conditions. For example, the characterization of various cellodextrins and xylooligomers produced during the time course of saccharification is important in the design of suitable reactors, enzyme cocktail compositions, and biomass pretreatment schemes. We have developed a microfluidic-chip-based assay for rapid and precise characterization of glycans and xylans resulting from biomass hydrolysis. The technique enables multiplexed separation of soluble cellodextrins and xylose oligomers in around 1 min (10-fold faster than HPLC). The microfluidic device was used to elucidate the mode of action of Tm_Cel5A, a novel cellulase from hyperthermophile Thermotoga maritima . The results demonstrate that the cellulase is active at 80 °C and effectively hydrolyzes cellodextrins and ionic-liquid-pretreated switchgrass and Avicel to glucose, cellobiose, and cellotriose. The proposed microscale approach is ideal for quantitative large-scale screening of enzyme libraries for biomass hydrolysis, for development of energy feedstocks, and for polysaccharide sequencing.
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http://dx.doi.org/10.1021/ac102243f | DOI Listing |
Laetrile, known as vitamin B17, is often used interchangeably with amygdalin. Laetrile is a semi-synthesis product of amygdalin, whereas amygdalin is a naturally occurring substance in many plants. Both compounds have a nitrile functional group that, when activated by the intestinal enzyme β-glucosidases, releases hydrogen cyanide.
View Article and Find Full Text PDFJ Dent Sci
January 2025
School of Dentistry, College of Medicine, National Taiwan University, Taipei, Taiwan.
Background/purpose: Revascularization procedures are used over apexification to treat teeth with necrotic pulp tissues and incomplete root formation. Clinically, inducing proliferation, migration, matrix deposition, and differentiation of stem cells from apical papilla (SCAPs) are critical for pulp regeneration. The study aimed to elucidate the impact of bone morphogenetic protein-4 (BMP-4) on plasminogen activation molecules and the osteogenic/odontogenic differentiation of SCAPs, as well as understand the related signaling mechanisms.
View Article and Find Full Text PDFJ Dent Sci
January 2025
Department of Periodontology and Endodontology, Tohoku University Graduate School of Dentistry, Sendai, Japan.
Background/purpose: Peroxisome proliferator-activated receptor γ (PPARγ) is a major transcription factor of energy metabolism-associated genes, and three PPARγ isoforms have been identified in periodontal tissues and cells. When energy metabolism homeostasis is affected by PPARγ downregulation in periodontal ligament fibroblasts (PDLFs), osteo/cementogenic abilities are markedly lost. Herein, we investigated whether PPARγ agonists promote periodontal tissue regeneration, and which PPARγ isoforms and metabolic pathways are indispensable for osteo/cementogenic abilities.
View Article and Find Full Text PDFLife Metab
February 2025
Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore.
Glucose-6-phosphate dehydrogenase (G6PD) is the rate-limiting enzyme in the pentose phosphate pathway (PPP) in glycolysis. Glucose metabolism is closely implicated in the regulation of mitophagy, a selective form of autophagy for the degradation of damaged mitochondria. The PPP and its key enzymes such as G6PD possess important metabolic functions, including biosynthesis and maintenance of intracellular redox balance, while their implication in mitophagy is largely unknown.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Introduction: This study aims to utilize proteomics, bioinformatics, and machine learning algorithms to identify diagnostic biomarkers in the serum of patients with acute and chronic brucellosis.
Methods: Proteomic analysis was conducted on serum samples from patients with acute and chronic brucellosis, as well as from healthy controls. Differential expression analysis was performed to identify proteins with altered expression, while Weighted Gene Co-expression Network Analysis (WGCNA) was applied to detect co-expression modules associated with clinical features of brucellosis.
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