The Activity of YCA1 Metacaspase Is Regulated by Reactive Sulfane Sulfur via Persulfidation in Saccharomyces cerevisiae.

YCA1, the only metacaspase in Saccharomyces cerevisiae, plays important roles in the regulation of chronological lifespan, apoptosis, and cytokinesis. YCA1 has protein hydrolase activity and functions by cleaving itself and target proteins. However, there are few reports about the regulation of YCA1 activity. In this study, we observed that reactive sulfane sulfur (RSS) can inhibit the activity of YCA1. In vitro experiments demonstrated that RSS reacted with the Cys276 of YCA1, the residue central to its protein hydrolase activity, to form a persulfidation modification (protein-SSH). This modification inhibited both its self-cleavage and the cleavage of its substrate protein, BIR1. To investigate further, we constructed a low-endogenous-RSS mutant of S. cerevisiae, BY4742 Δcys3, in which the RSS-producing enzyme cystathionine-γ-lyase (CYS3) was knocked out. The activity of YCA1 was significantly increased by the deletion of CYS3. Moreover, increased YCA1 activity led to reduced chronological lifespan (CLS) and CLS-driven apoptosis. This study unveils the first endogenous factor that regulates YCA1 activity, introduces a novel mechanism of how yeast cells regulate chronological lifespan, and broadens our understanding of the multifaceted roles played by RSS.

Effects of heavy metals stress on chicken manures composting via the perspective of microbial community feedback.

Heavy metal pollution was the main risk during livestock manures composting, in which microorganisms played a vital role. However, response strategies of microbial community to heavy metals stress (HMS) remained largely unclear. Therefore, the objective of this study was to reveal the ecological adaptation and counter-effect of bacterial community under HMS during chicken manures composting, and evaluating environmental implications of HMS on composting. The degradation of organic matters (more than 6.4%) and carbohydrate (more than 19.8%) were enhanced under intense HMS, suggesting that microorganisms could quickly adapt to the HMS to ensure smooth composting. Meanwhile, HMS increased keystone nodes and strengthened significant positive correlation relationships between genera (p < 0.05), indicating that bacteria resisted HMS through cooperating during composting. In addition, different bacterial groups performed various functions to cope with HMS. Specific bacterial groups responded to HMS, and certain groups regulated bacterial networks. Therefore, bacterial community had the extraordinary potential to deal with HMS and guarantee chicken manures composting even in the presence of high concentrations of heavy metals.

Colorimetric identification of miRNA-195 sequence for diagnosing osteosarcoma.

Improving biosensing performance is mandatory for biomolecular recognition and disease identification. Gold nanoparticle (GNP)-based colorimetric assay is the easy and cost-effective identification method by a naked eye detection. In this research, osteosarcoma biomarker (miRNA-195) was identified by citrate-capped GNP-colorimetric assay. As salt-induced aggregation was used to observe the color changes of GNP, sodium chloride (NaCl) and capture DNA were optimized as 50 mM and ∼20 pmol, respectively. The capture DNA only on GNP could not stabilize under high NaCl, and the color of GNP turned into purple. At the same time, when capture DNA was hybridized with target, the condition can stabilize the GNP under higher NaCl, which retains the GNP color as red. This simple assay reaches the limit of detection of target miRNA-195 as ∼40 fmol. Control experiments with noncomplementary DNA turned the solution into purple, indicating the specific detection of target. The mixture of target in diluted serum retains the color of the GNP solution to be red, indicating the selective detection of target DNA. This simple assay helps to quantify the level of miRNA-195 target DNA and to diagnose the osteosarcoma.

δ-MnO2 changed the structure of humic-like acid during co-composting of chicken manure and rice straw.

Improving the structure and quantity of humus is important to reduce agriculture organic waste by composting. The present study was aimed to assess the role of δ-MnO2 on humus fractions formation during co-composting of chicken manure and rice straw. Two tests (control group (CK), the addition of δ-MnO2 (M)) were carried out. The results showed that organic matter content decreased by 34% and 29% at M and CK, suggesting the process of organic waste disposal was accelerated by adding δ-MnO2. The structures and quantity of fulvic acid (FA) and humic acid (HA) (as the main fractions of humus) were investigated. The δ-MnO2 had no significant effect on improving the concentration of FA and HA (p > 0.05). However, the addition of δ-MnO2 caused different effects on the FA and HA structure. The humification degree of FA improved, while bioavailability of HA increased through adding δ-MnO2. The addition of δ-MnO2 rephased the bacterial community structure, slowing down the succession rate of the bacterial community in M composting. After adding δ-MnO2, the structural equation modeling results showed that environmental factors could directly drive changes in FA and HA by modulating the bacterial community. Furthermore, the role of FA and HA in the soil amendment was also demonstrated. Therefore, the addition of MnO2 might be promising for agriculture organic waste treatment and environmental repair during composting.

Frequency division denoising algorithm based on VIF adaptive 2D-VMD ultrasound image.

Ultrasound imaging has developed into an indispensable imaging technology in medical diagnosis and treatment applications due to its unique advantages, such as safety, affordability, and convenience. With the development of data information acquisition technology, ultrasound imaging is increasingly susceptible to speckle noise, which leads to defects, such as low resolution, poor contrast, spots, and shadows, which affect the accuracy of physician analysis and diagnosis. To solve this problem, we proposed a frequency division denoising algorithm combining transform domain and spatial domain. First, the ultrasound image was decomposed into a series of sub-modal images using 2D variational mode decomposition (2D-VMD), and adaptively determined 2D-VMD parameter K value based on visual information fidelity (VIF) criterion. Then, an anisotropic diffusion filter was used to denoise low-frequency sub-modal images, and a 3D block matching algorithm (BM3D) was used to reduce noise for high-frequency images with high noise. Finally, each sub-modal image was reconstructed after processing to obtain the denoised ultrasound image. In the comparative experiments of synthetic, simulation, and real images, the performance of this method was quantitatively evaluated. Various results show that the ability of this algorithm in denoising and maintaining structural details is significantly better than that of other algorithms.

Regenerated keratin-encapsulated gold nanorods for chemo-photothermal synergistic therapy.

Gold nanorods (AuNRs) have been widely applied to photothermal therapy against cancer. However, the chemically synthesized AuNRs such as that via seed-mediate method usually demonstrated a high cytotoxicity due to the existence of cetyltrimethylammonium bromide (CTAB) coating. In this work, keratin, a family of cysteine-rich structural fibrous proteins was used for the first time to encapsulate AuNRs by a simple mixing method. Compared with CTAB-AuNRs, the keratin-encapsulated AuNRs (AuNRs@Kr) showed an improved colloid stability and good biocompatibility including low cytotoxicity and hemolytic effect. Moreover, AuNRs@Kr exhibited great potential as drug carriers with redox-responsive drug release behavior, due to the high concentration of disulfide crosslinking in keratin coating, and the DOX-loaded AuNRs@Kr demonstrated higher chemo-photothermal synergistic therapy efficiency against 4T1 cells compared with either free DOX or AuNRs@Kr alone, suggesting a promising nanoplatform for cancer therapy.

Determination of the food dye indigotine in cream by near-infrared spectroscopy technology combined with random forest model.

Artificial pigment is a common food additive in cream products. If added in excess, it will do harm to human body. At present, there is no research on the detection of cream pigment by Near Infrared (NIR) spectroscopy. In this paper, a method based on random forest was applied to determine the indigotine in cream. Weighting in the experiments was accomplished using analytical balances with precision as low as 0.0001 g. The NIR spectra data of cream with different concentration of indigotine were recorded. The original spectra was pretreated by SG smoothing, mean centering and second derivative. Random forest was applied to establish a quantitative analysis model for cream pigment content, and multiple evaluation criteria were selected to comprehensively evaluate the model. The R2 was 0.9402, RMSEP was 0.2509 and RPD was 4.0893. Consequently, NIR spectroscopy, combined with data pretreatments and random forest model, was confirmed to be an interesting tool for non-destructive evaluation of pigment content in cream.

SnS hollow nanofibers as anode materials for sodium-ion batteries with high capacity and ultra-long cycling stability.

In this study, a novel anode material of SnS hollow nanofibers (SnS HNFs) was rationally synthesized by a facile process and demonstrated to be a promising anode candidate for sodium-ion batteries. The synergetic effect of unique hollow and porous microstructures of SnS HNFs led to high capacity and ultra-long cycling stability.