Explore the vast range of titles available.

Crustacean aquaculture is expected to be a major source of fishery commodities in the near future. Hemocytes are key players of the immune system in shrimps; however, their classification, maturation, and differentiation are still under debate. To date, only discrete and inconsistent information on the classification of shrimp hemocytes has been reported, showing that the morphological characteristics are not sufficient to resolve their actual roles. Our present study using single-cell RNA sequencing revealed six types of hemocytes of Marsupenaeus japonicus based on their transcriptional profiles. We identified markers of each subpopulation and predicted the differentiation pathways involved in their maturation. We also predicted cell growth factors that might play crucial roles in hemocyte differentiation. Different immune roles among these subpopulations were suggested from the analysis of differentially expressed immune-related genes. These results provide a unified classification of shrimp hemocytes, which improves the understanding of its immune system.

Current computers are limited by the von Neumann bottleneck, which constrains the throughput between the processing unit and the memory. Chemical processes have the potential to scale beyond current computing architectures as the processing unit and memory reside in the same space, performing computations through chemical reactions, yet their lack of programmability limits them. Herein, we present a programmable chemical processor comprising of a 5 by 5 array of cells filled with a switchable oscillating chemical (Belousov–Zhabotinsky) reaction. Each cell can be individually addressed in the ‘on’ or ‘off’ state, yielding more than 2.9 × 10 17 chemical states which arise from the ability to detect distinct amplitudes of oscillations via image processing. By programming the array of interconnected BZ reactions we demonstrate chemically encoded and addressable memory, and we create a chemical Autoencoder for pattern recognition able to perform the equivalent of one million operations per second. Unconventional computing architectures might outperform current ones, but their realization has been limited to solving simple specific problems. Here, a network of interconnected Belousov-Zhabotinski reactions, operated by independent magnetic stirrers, performs encoding/decoding operations and data storage.

Multi-drug strategies have been attempted to prolong the efficacy of existing antibiotics, but with limited success. Here we show that the evolution of multi-drug-resistant Escherichia coli can be manipulated in vitro by administering pairs of antibiotics and switching between them in ON/OFF manner. Using a multiplexed cell culture system, we find that switching between certain combinations of antibiotics completely suppresses the development of resistance to one of the antibiotics. Using this data, we develop a simple deterministic model, which allows us to predict the fate of multi-drug evolution in this system. Furthermore, we are able to reverse established drug resistance based on the model prediction by modulating antibiotic selection stresses. Our results support the idea that the development of antibiotic resistance may be potentially controlled via continuous switching of drugs. It is unclear whether strategies involving antibiotic cycling can efficiently control the emergence of antibiotic-resistant bacteria. Here, Yoshida et al . show that the evolution of multi-drug-resistant bacteria in vitro can be manipulated by administering pairs of antibiotics and switching between them.

Three dimensional (3D) printing is actively sought after in recent years as a promising novel technology to construct complex objects, which scope spans from nano- to over millimeter scale. Previously we utilized Fused deposition modeling (FDM)-based 3D printer to construct complex 3D chemical fluidic systems, and here we demonstrate the construction of 3D milli-fluidic structures for programmable liquid handling and control of biological samples. Basic fluidic operation devices, such as water-in-oil (W/O) droplet generators for producing compartmentalized mono-disperse droplets, sensor-integrated chamber for online monitoring of cellular growth, are presented. In addition, chemical surface treatment techniques are used to construct valve-based flow selector for liquid flow control and inter-connectable modular devices for networking fluidic parts. As such this work paves the way for complex operations, such as mixing, flow control, and monitoring of reaction / cell culture progress can be carried out by constructing both passive and active components in 3D printed structures, which designs can be shared online so that anyone with 3D printers can reproduce them by themselves.

Evolution via natural selection is governed by the persistence and propagation of living things in an environment. The environment is important since it enabled life to emerge, and shapes evolution today. Although evolution has been widely studied in a variety of fields from biology to computer science, still little is known about the impact of environmental changes on an artificial chemical evolving system outside of computer simulations. Here we develop a fully automated 3D-printed chemorobotic fluidic system that is able to generate and select droplet protocells in real time while changing the surroundings where they undergo artificial evolution. The system is produced using rapid prototyping and explicitly introduces programmable environments as an experimental variable. Our results show that the environment not only acts as an active selector over the genotypes, but also enhances the capacity for individual genotypes to undergo adaptation in response to environmental pressures. Few studies have explored the effect of a changing environment on artificial chemical evolution. Here, the authors develop an evolutionary platform that alters the physical environment of droplet protocells, showing that a population of simple chemical species can adapt to its surroundings, in analogy to natural evolution.

This paper describes the utilization of giant unilamellar vesicles (GUVs) as a platform for handling chemical and biochemical reagents. GUVs with diameters of 5 to 10 µm and containing chemical/biochemical reagents together with inert polymers were fused with electric pulses (electrofusion). After reagent mixing, the fused GUVs spontaneously deformed to a budding shape, separating the mixed solution into sub-volumes. We utilized a microfluidic channel and optical tweezers to select GUVs of interest, bring them into contact, and fuse them together to mix and aliquot the reaction product. We also show that, by lowering the ambient temperature close to the phase transition temperature Tm of the lipid used, daughter GUVs completely detached (fission). This process performs all the liquid-handing features used in bench-top biochemistry using the GUV, which could be advantageous for the membrane-related biochemical assays.

Bacteriophage-derived endolysins are being developed as an alternative to antimicrobials. The development of endolysins against Gram-negative bacteria requires the discovery of effective endolysins against the target species and the capability to penetrate the outer membrane of bacteria by endolysin. Here, we propose an efficient endolysin development approach that combines a data-driven endolysin search utilizing bacterial genomes with high-throughput laboratory assays. As a proof of concept, we analyzed endolysin genes detected in 273 bacterial genomes of Acinetobacter, Pseudomonas, and Escherichia. Firstly, we conducted assays of 192 recombinants of endolysin genes obtained through in silico search from bacterial genomes and identified natural endolysins degrading peptidoglycan of Acinetobacter baumannii. Then, we performed high-throughput screening against Gram-negative bacteria for hundreds of chimera AMP–endolysins, natural endolysin conjugated with antimicrobial peptide. As a result, we obtained four chimera AMP–endolysins against A. baumannii, which demonstrated the minimum inhibitory concentration ranging from 4 to 8 μg/mL. Moreover, we assessed the antimicrobial spectra of these chimera AMP–endolysins, validating that two endolysins exhibited antimicrobial efficacy against Pseudomonas aeruginosa and Escherichia coli with <32 μg/mL of concentration. This endolysin development approach can be applied to other Gram-negative bacterial targets and is expected to facilitate the acquisition of effective novel endolysins.

Lipid vesicles, in particular Giant Unilamellar Vesicles (GUVs), have been increasingly important as compartments of artificial cells to reconstruct living cell-like systems in a bottom-up fashion. Here, we report shape transformations of lipid vesicles induced by polyethylene glycol-lipid conjugate (PEG lipids). Statistical analysis of deformed vesicle shapes revealed that shapes vesicles tend to deform into depended on the concentration of the PEG lipids. When compared with theoretically simulated vesicle shapes, those shapes were found to be more energetically favorable, with lower membrane bending energies than other shapes. This result suggests that the vesicle shape transformations can be controlled by externally added membrane molecules, which can serve as a potential method to control the replications of artificial cells.

High-dose melphalan has been gaining recognition as a highly emetogenic agent used in hematopoietic stem cell transplantation (HSCT). The aim of this retrospective study was to elucidate the efficacy of aprepitant in preventing high-dose melphalan-induced emesis. Sixty patients who received melphalan (70 mg/m 2 /day, 2 days) and fludarabine (125 mg/m 2 /day, 5 days) as conditioning for allogeneic HSCT for hematological malignancies, and who received ondansetron and methylprednisolone as an antiemetic prophylaxis, were eligible. Twenty of these 60 patients also received aprepitant for 5 days (aprepitant group); the remaining 40 patients served as a control. The rates of complete response (CR), defined as no emesis without rescue medications, and complete protection (CP), defined as no emesis with or without rescue medications, were assessed between the two groups. The observation period was 12 days from the first day of melphalan administration. The CR and CP rates were significantly higher in the aprepitant group than in the control group during the observation period (35 % versus 10 %, P  < 0.05; 85 % versus 33 %, P  < 0.001; respectively). These results suggest that aprepitant in combination with ondansetron and steroid effectively ameliorates nausea and vomiting caused by the high-dose melphalan-based conditioning for allogeneic HSCT.

Abstract How does enzymatic activity emerge? To shed light on this fundamental question, we study type B dihydrofolate reductases (DfrB), which were discovered for their role in antibiotic resistance. These rudimentary enzymes are evolutionarily distinct from the ubiquitous, monomeric FolA dihydrofolate reductases targeted by the antibiotic trimethoprim. DfrB is unique: it homotetramerizes to form a highly symmetrical central tunnel that accommodates its substrates in close proximity and the right orientation, thus promoting the metabolically essential production of tetrahydrofolate. It is the only known enzyme built from the ancient Src Homology 3 fold, typically a binding module. Strikingly, by studying the evolution of this enzyme family, we observe that no active-site residues are conserved across catalytically active homologs. Integrating experimental and computational analyses, we identify an intricate relationship between homotetramerization and catalytic activity, where formation of a tunnel featuring positive electrostatic potential proves to be a powerful predictor of activity. We demonstrate that the DfrB enzymes have not evolved in response to the synthetic antibiotic to which they confer strong resistance, and propose that DfrB domains evolved the capacity for rudimentary catalysis from a binding capacity. That (rudimentary) catalysis can emerge from the homotetramerization of a binding domain, and that it has been recently recruited by pathogenic bacteria, manifests the opportunistic nature of evolution.