Protein-Controlled Split DNAzyme to Enhance Catalytic Activity: Design and Performance.

In this study, we utilized proteins to control the assembly of split DNAzyme to establish protein-controlled split DNAzymes (Pc SD), with the aim of enhancing its catalytic activity. To achieve this, simultaneous recognition of protein by affinity ligands at both ends of split DNAzyme fragments induced an increased local concentration of each split fragment, leading to reassembly of the split catalytic core with a rigid conformation and higher affinity to its cofactor. As a result, under protein control, Pc SD exhibits unexpected cleavage efficiency compared to free split DNAzyme. To further explore the catalytic features, we then systematically positioned split sites within the catalytic core of three popular DNAzyme-based Pc SDs, thus revealing the important nucleic acids that influence Pc SDs activity. Based on the excellent analytical performance of Pc SD for streptavidin (with a LOD of 0.1 pM in buffer),we equipped Pc SD with antibodies as rapid diagnostic tools for inpatient care (AFP as biomarker) with a minimized workflow (with a LOD of 2 pM in 5% human serum). The results of this study offer fundamental insights into external factors for boosting DNAzyme catalysis and will be promising for applications that utilize split DNAzymes.

An E3 ligase TRIM1 promotes colorectal cancer progression via K63-linked ubiquitination and activation of HIF1α.

Accumulating studies have shown that E3 ligases play crucial roles in regulating cellular biological processes and signaling pathways during carcinogenesis via ubiquitination. Tripartite-motif (TRIM) ubiquitin E3 ligases consist of over 70 members. However, the clinical significance and their contributions to tumorigenesis remain largely unknown. In this study, we analyzed the RNA-sequencing expression of TRIM E3 ligases in colorectal cancer (CRC) and identified 10 differentially expressed genes, among which TRIM1 expression predicted poor prognosis of CRC patients. We demonstrated that TRIM1 expression is positively associated with CRC pathological stages, and higher expression is positively correlated with infiltrating levels of immune cells and immunotherapy biomarkers. TRIM1 expression promotes the proliferation and migration of colorectal cancer cells in vitro and in vivo. Transcriptional analysis showed that TRIM1 is responsible for metabolism promotion and immune suppression. Mechanistically, we found that TRIM1 binds HIF1α and mediates its K63-linked ubiquitination, which is required for HIF1α nuclear translocation and subsequent activation. Ubiquitination occurs at Lys214 in the loop between the two PAS domains of HIF1α, and mutation of Lys214 severely disturbs the function of HIF1α. Besides, HIF1α ubiquitination enhances its binding with proteins involved in cellular trafficking and nucleocytoplasmic transport pathway. Collectively, our results indicate TRIM1's role in predicting prognosis and reveal how TRIM1 functions to upregulate HIF1α expression and promote tumor cell proliferation.

Heteromultivalent DNA Enhances the Assembly Yield of Hybrid Nanoparticles and Facilitates Dynamic Disassembly for Bioanalysis Using ICP-MS.

To obtain enhanced physical and biological properties, various nanoparticles are typically assembled into hybrid nanoparticles through the binding of multiple homologous DNA strands to their complementary counterparts, commonly referred to as homomultivalent assembly. However, the poor binding affinity and limited controllability of homomultivalent disassembly restrict the assembly yield and dynamic functionality of the hybrid nanoparticles. To achieve a higher binding affinity and flexible assembly choice, we utilized the paired heteromultivalency DNA to construct hybrid nanoparticles and demonstrate their excellent assembly characteristics and dynamic applications. Specifically, through heteromultivalency, DNA-functionalized magnetic beads (MBs) and gold nanoparticles (AuNPs) were efficiently assembled. By utilizing ICP-MS, the assembly efficiency of AuNPs on MBs was directly monitored, enabling quantitative analysis and optimization of heteromultivalent binding events. As a result, the enhanced assembly yield is primarily attributed to the fact that heteromultivalency allows for the maximization of effective DNA probes on the surface of nanoparticles, eliminating steric hindrance interference. Subsequently, with external oligonucleotides as triggers, it was revealed that the disassembly mechanism of hybrid nanoparticles was initiated, which was based on an increased local concentration rather than toehold-mediated displacement of paired heteromultivalency DNA probes. Capitalizing on these features, an output platform was then established based on ICP-MS signals that several Boolean operations and analytical applications can be achieved by simply modifying the design sequences. The findings provide new insights into DNA biointerface interaction, with potential applications to complex logic operations and the construction of large DNA nanostructures.

Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model.

The vibration of tunnel boring machine (TBM) is very difficult to monitor on sites, and related research on prediction methods is rare. Based on the field tunnelling test of a TBM in the Xinjiang Ehe project, the vibration information of the main beam of the TBM under different surrounding rock conditions is collected. The relationships among the tunnelling parameters, surrounding rock parameters and vibration parameters were studied. The results show that the penetration, cutter head speed, torque and thrust are important parameters affecting TBM vibration. In addition, the field penetration index and cutter head driving power index are significantly related to the root mean square of acceleration. Based on this, a multiple regression prediction model of TBM vibration is established. The model was verified and analysed via field projects, and the relative prediction error was less than 12%. This method can be used to predict the vibration of a TBM in real time through characteristic parameters without the use of a traditional monitoring system. This approach is highly important for determining the status of TBM equipment in real time.

Research on prevention and control technology of classified rockburst in TBM construction of deeply buried tunnels.

Rock blasting and other geological disasters occur frequently in the TBM construction of deeply buried tunnels and seriously threaten construction safety and progress. Therefore, it is extremely important to conduct scientific research for effective prevention and control of rockbursts in construction. Based on a large number of field rockburst data, this study analyses the influence of rockburst on construction safety and efficiency by using statistical theory and summarizes the temporal and spatial characteristics of rockburst time, location and influence range. Using these results, combined with the characteristics of the TBM structure and construction method, classification prevention and control objectives, theoretical criteria and prevention and control technology of rock bursts are proposed. A theoretical system of classified prevention and control of rockburst is constructed, which is cooperatively controlled by microseismic monitoring, TBM equipment, TBM excavation and support measures. The system is verified to provide practical protection, demonstrating that this report provides an important reference for the prevention and control of rock bursts in ultradeep tunnels.

Involvement of B-aat1 and Cbs in regulating mantle pigmentation in the Pacific oyster (Crassostrea gigas).

BACKGROUND: Shell color formation is an important physiological process in bivalves, the molecular genetic basis has potential application in bivalve aquaculture, but there is still remaining unclear about this issue. The cystine/glutamate transporter (Slc7a11) and cystathionine beta-synthase (Cbs) are integral genes in pheomelanin synthesis pathway, which is vital to skin pigmentation. METHODS AND RESULTS: Here, the sequences of b (0, +) -type amino acid transporter 1 (B-aat1) and Cbs in Pacific oyster (Crassostrea gigas) (CgB-aat1, CgCbs) were characterized. Phylogenetically, the deduced amino acid sequences of CgB-aat1 and CgCbs both possessed conserved features. Genes were both ubiquitously expressed in six tested tissues with more abundant expression level in central mantle. Besides, the polyclonal antibodies of CgB-aat1, CgCbs, CgTyr, and CgTyrp2 were successfully prepared. Immunofluorescence analysis revealed that CgB-aat1 and CgCbs proteins were both expressed in gill rudiments of eyed-larvae and concentrated mainly in cytoplasm of epithelial cell and nerve axons in mantle. Additionally, after CgB-aat1 or CgCbs silencing, expressions at mRNA and protein levels of CgB-aat1 and CgCbs involved in pheomelanin synthesis were significantly suppressed, and CgTyr, CgTyrp1 and CgTyrp2 related to eumelanin synthesis were also down-regulated but no apparent differences, respectively. Moreover, micrographic examination found less brown-granules at mantle edge in CgB-aat1 interference group. CONCLUSION: These results implied that pheomelanin synthesis was possible induced by CgB-aat1-CgTyr-CgCbs axis, and it played an essential role on mantle pigmentation in the oysters. These findings provide the useful genetic knowledge and enrich the physiological information for the shell color formation in bivalve aquaculture.

Assessing the impact of green finance and urbanization on the tourism industry-an empirical study in China.

There is a dearth of empirical studies looking at the link between green economic development and tourism in quantifiable terms. Using panel data from China's 30 provinces from 2005 to 2018, this study investigates the impact of green finance on China's tourism industry. Using renewable energy, income per capita, carbon emissions, and urbanizations as explanatory factors is also utilized. According to estimation, the findings reveal that green finance substantially impacts the tourism business. This positive effect is more pronounced in provinces where economic and social conditions are better, thus boosting the region's tourism industry. The same holds for income per capita, renewable energy, and environmental factors. In addition, urbanization has a negligible effect on the variable being studied. A further way to boost the growth of tourism is through the use of green finance. The empirical findings can benefit China's green financial planning and environmental sustainability.

The impact of COVID-19 on small- and medium-sized enterprises (SMEs): empirical evidence for green economic implications.

Small- and medium-sized enterprises (SMEs) in China have been hit hard by the coronavirus (COVID-19) outbreak, which has jeopardized their going out of business altogether. As a result, this research will shed light on the long-term impacts of COVID-19 lockdown on small businesses worldwide. The information was gathered through a survey questionnaire that 313 people completed. Analyzing the model was accomplished through the use of SEM in this investigation. Management and staff at SMEs worldwide provided the study's data sources. Research shows that COVID-19 has a significantly bad influence on profitability, operational, economic, and access to finance. In the study's findings, outside funding aids have played an important role in SMEs' skill to persist and succeed through technological novelty than in their real output. SME businesses, administrations, and policymakers need to understand the implications of this study's results.

Lanthanide Encoded Logically Gated Micromachine for Simultaneous Detection of Nucleic Acids and Proteins by Elemental Mass Spectrometry.

DNA-based logic computing potentially for analysis of biomarker inputs and generation of oligonucleotide signal outputs is of great interest to scientists in diverse areas. However, its practical use for sensing of multiple biomarkers is limited by the universality and robustness. Based on a proximity assay, a lanthanide encoded logically gated micromachine (LGM-Ln) was constructed in this work, which is capable of responding to multiplex inputs in biological matrices. Under the logic function controls triggered by inputs and a Boolean "AND" algorithm, it is followed by an amplified "ON" signal to indicate the analytes (inputs). In this logically gated sensing system, the whole computational process does not involve strand displacement in an intermolecular reaction, and a threshold-free design is employed to generate the 0 and 1 computation via intraparticle cleavage, which facilitates the computation units and makes the "computed values" more reliable. By simply altering the affinity ligands for inputs' biorecognition, LGM-Ln can also be extended to multi-inputs mode and produce the robust lanthanide encoded outputs in the whole human serum for sensing nucleic acids (with the detection limit of 10 pM) and proteins (with the detection limit of 20 pM). Compared with a logically gated micromachine encoded with fluorophores, the LGM-Ln has higher resolution and no spectral overlaps for multiple inputs, thus holding great promise in multiplex analyses and clinical diagnosis.

Monitoring nucleic acid amplification process using a UiO-66-NH2-based fluorescent sensor.

Herein, we developed a nucleic acid amplification process monitoring scheme by the use of UiO-66-NH2, in which pyrophosphate ion (PPi) released from the amplification can competitively coordinate with Zr to weaken the ligand-to-metal charge transfer and cause fluorescence recovery, thus reflecting the amplification process. This is the first attempt at using a MOF for monitoring the nucleic acid amplification process.

Differential distribution and genetic determination of eccrine sweat glands and hair follicles in the volar skin of C57BL/6 mice and SD rats.

BACKGROUND: Eccrine sweat glands (ESGs) and hair follicles (HFs) are the prominent skin appendages regulating human body temperature. C57BL/6 mice and Sprague-Dawley (SD) rats are the most commonly used model animals for studying ESGs and HFs. Previous studies have shown the distribution of ESGs and HFs in volar hindfeet of C57BL/6 mice, but there are few or no reports on the distribution of ESGs and HFs in volar forefeet of C57BL/6 mice and volar feet of SD rats. Here, we investigated the differential distribution and genetic determination of ESGs and HFs in the volar skin of C57BL/6 mice and SD rats through gross observation, iodine-starch sweat test, double staining with Nile Blue A and Oil Red O, hematoxylin and eosin (HE) staining, double immunofluorescence staining of LIM Homeobox 2 (LHX2)/Na+-K+-ATPase α1(NKA) or LHX2/Na+-K+-2Cl－ cotransporter 1 (NKCC1), and qRT-PCR detection of ESG-related gene Engrailed 1 (En1) and HF-related gene LHX2. RESULTS: The results showed ESGs but no HFs in the footpads of C57BL/6 mice and SD rats, both ESGs and HFs in the inter-footpads (IFPs) of C57BL/6 mice, and neither ESGs nor HFs in the IFPs of SD rats. The relative quantitative change in En1 was consistent with the differential distribution of ESGs, and the relative quantitative change of LHX2 was consistent with the differential distribution of HFs. CONCLUSION: C57BL/6 mice and SD rats had their own characteristics in the distribution of ESGs and HFs in the volar skin, and researchers should choose mice or rats, and even forefeet or hindfeet as their research object according to different purposes. The study provides a basis for selection of optimal animal models to study development, wound healing and regeneration of skin appendages.

Foxa1 mediates eccrine sweat gland development through transcriptional regulation of Na-K-ATPase expression.

Eccrine sweat glands (ESGs) perform critical functions in temperature regulation in humans. Foxa1 plays an important role in ESG maturation and sweat secretion. Its molecular mechanism, however, remains unknown. This study investigated the expression of Foxa1 and Na-K-ATPase (NKA) in rat footpads at different development stages using immunofluorescence staining, qRT-PCR, and immunoblotting. Also, bioinformatics analysis and Foxa1 overexpression and silencing were employed to evaluate Foxa1 regulation of NKA. The results demonstrated that Foxa1 was consistently expressed during the late stages of ESGs and had a significant role in secretory coil maturation during sweat secretion. Furthermore, the mRNA abundance and protein expression of NKA had similar accumulation trends to those of Foxa1, confirming their underlying connections. Bioinformatics analysis revealed that Foxa1 may interact with these two proteins via binding to conserved motifs in their promoter regions. Foxa1 gain-of-function and loss-of-function experiments in Foxa1-modified cells demonstrated that the activities of NKA were dependent on the presence of Foxa1. Collectively, these data provided evidence that Foxa1 may influence ESG development through transcriptional regulation of NKA expression.

Assessing the Role of Green Finance and Education as New Determinants to Mitigate Energy Poverty.

Energy poverty (EP) is a problem that affects developed and developing economies, and its mitigation is of great significance to social welfare. EP affects Latin American countries, and policymakers have recently attempted to address this issue, particularly in the aftermath of the recent economic crisis. It is essential to measure and evaluate EP to implement strategies and policies effectively. Using a panel quantile regression approach, we investigate the heterogeneous impact of green finance, renewable energy (RE), and energy efficiency (EE) on EP for 33 Latin American countries from 2000 to 2018. Furthermore, certain associated control variables are incorporated into our model to avoid an omitted variable bias. According to empirical results, the impact of independent variables on EP is heterogeneous. Specifically, green finance is an essential source of alleviating EP, and it has a significant positive effect across all quantiles, but it is especially strong in the middle quantiles. RE and EE significantly mitigate EP, with the strongest effects occurring at higher quantiles. By including green finance, RE, and EE as the main explanatory determinants of EP, the findings urge policymakers in Latin American countries to design a comprehensive energy conservation policy to minimize the effects of massive EP.

Biomolecule-guided co-localization of intermolecular G-rich strands for the construction of a tetramolecular G-quadruplex sensing strategy.

We herein introduce the principle of proximity assay into tetramolecular G-quadruplexes guided by various biomolecules for the construction of a sensing strategy. Our strategy is based on the co-localization of intermolecular G-rich strands guided by a recognition event of a specific biomolecule to its corresponding affinity ligand. In such case, the local concentration among intermolecular strands is significantly increased to trigger the following self-assembly that served as the peroxidase-mimicking activity. This strategy is versatile, homogenous and adaptable to different types of biomolecules.