Simple Binding and Dissociation of a Sialoglycoprotein Using Boronic Acid-Modified Functional Interfaces on Microparticles.

An overexpression of sialic acid is an indicator of metastatic cancer, and selective detection of sialic acid shows potential for cancer diagnosis. Boronic acid is a promising candidate for this purpose because of its ability to specifically bind to sialic acid under acidic conditions. Notably, the binding strength can be easily modulated by adjusting the pH, which allows for a simple dissociation of the bound sialic acid.

Exploration of DPP-IV Inhibitory Peptide Design Rules Assisted by the Deep Learning Pipeline That Identifies the Restriction Enzyme Cutting Site.

The mining of antidiabetic dipeptidyl peptidase IV (DPP-IV) inhibitory peptides (DPP-IV-IPs) is currently a costly and laborious process. Due to the absence of rational peptide design rules, it relies on cumbersome screening of unknown enzyme hydrolysates. Here, we present an enhanced deep learning model called bidirectional encoder representation (BERT)-DPPIV, specifically designed to classify DPP-IV-IPs and explore their design rules to discover potent candidates.

Improvement of Sensitivity and Speed of Virus Sensing Technologies Using nm- and μm-Scale Components.

Various viral diseases can be widespread and cause severe disruption to global society. Highly sensitive virus detection methods are needed to take effective measures to prevent the spread of viral infection. This required the development of rapid virus detection technology to detect viruses at low concentrations, even in the biological fluid of patients in the early stages of the disease or environmental samples.

Hydrogel capsule-based digital quantitative polymerase chain reaction.

Droplet digital PCR (ddPCR) is accurate in nucleic acid quantification owing to its linearity and high sensitivity. Amplification of nucleic acid in droplets, however, is limited by the stability of droplets against thermal cycling. While the use of fluorinated oil or supplementation of surfactant could improve the stability of droplets, this process has also greatly increased the cost of ddPCR and limited post-PCR analysis.

Levilactobacillus brevis surface layer protein B promotes liposome targeting to antigen-presenting cells in Peyer's patches.

Liposome targeting by conjugation with specific ligands and cross-linking reagents is an attractive strategy for active drug delivery. Here, we demonstrated the potential of surface layer protein (Slp) B from Levilactobacillus brevis JCM 1059 as a specific ligand to antigen-presenting cells (APCs) in Peyer's patches. L.

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System (MMC).

Conventional microbial cultivation methods usually have cumbersome operations, low throughput, low efficiency, and large consumption of labor and reagents. Moreover, microplate-based high-throughput cultivation methods developed in recent years have poor microbial growth status and experiment parallelization because of their low dissolved oxygen, poor mixture, and severe evaporation and thermal effect. Due to many advantages of micro-droplets, such as small volume, high throughput, and strong controllability, the droplet-based microfluidic technology can overcome these problems, which has been used in many kinds of research of high-throughput microbial cultivation, screening, and evolution.

Peri-transplant glycaemic control as a predictor of pancreas transplant survival.

Aims: The relationship between peri-transplant glycaemic control and outcomes following pancreas transplantation is unknown. We aimed to relate peri-transplant glycaemic control to pancreas graft survival and to develop a framework for defining early graft dysfunction.

Methods: Peri-transplant glycaemic control profiles over the first 5 days postoperatively were determined by an area under the curve [AUC; average daily glucose level (mmol/L) × time (days)] and the coefficient of variation of mean daily glucose levels.

Microbial microdroplet culture system (MMC): An integrated platform for automated, high-throughput microbial cultivation and adaptive evolution.

Conventional microbial cell cultivation techniques are typically labor intensive, low throughput, and poorlyparallelized, rendering them inefficient. The development of automated, modular microbial cell micro-cultivation systems, particularly those employing droplet microfluidics, have gained attention for their high-throughput, highly paralellized and efficient cultivation capabilities. Here, we report the development of a microbial microdroplet culture system (MMC), which is an integrated platform for automated, high-throughput cultivation and adaptive evolution of microorganisms.

Gel microdroplet-based high-throughput screening for directed evolution of xylanase-producing Pichia pastoris.

Xylanases have useful applications in a wide range of industries. In this regard, Pichia pastoris has become one of the most attractive host platforms for large-scale production of xylanases. However, genomic engineering is still required for overexpression and efficient secretion.

In vivo continuous evolution of metabolic pathways for chemical production.

Microorganisms have long been used as chemical plant to convert simple substrates into complex molecules. Various metabolic pathways have been optimised over the past few decades, but the progresses were limited due to our finite knowledge on metabolism. Evolution is a knowledge-free genetic randomisation approach, employed to improve the chemical production in microbial cell factories.

Alternative surgical procedure for treating superior vena cava syndrome in a hemodialysis patient.

Background: The incidence of superior vena cava syndrome has been increasing in hemodialysis patients with the widespread use of dialysis catheters. Although endovascular intervention remains the primary choice for treatment, the long-term patency rate is not optimistic. Occlusive lesions are often encountered that cannot be opened using this intervention.