Can digital economy development contribute to carbon emission reduction? Evidence from China.

With the rapid growth of the digital economy, it is essential to understand its impact on carbon emissions reduction. This study uses provincial panel data from China during 2011-2019 to construct a moderating mediating effect model and a spatial panel Durbin model to examine the relationship between the digital economy and carbon emissions reduction. This study analyzes the mediating effect of the energy structure on the digital economy's impact on carbon emission reduction, and the spatial effect and regional heterogeneity of the digital economy's impact on carbon emission reduction. The findings indicate that the development of the digital economy can effectively promote regional carbon emission reductions, both directly and indirectly, with a significant spatial spillover effect. Second, the energy structure plays a significant mediating role in promoting carbon emission reduction in the digital economy, and the industrial structure has a positive moderating effect. Third, the impact of the digital economy on carbon emissions reduction has significant regional heterogeneity, and the inhibitory effect of the digital economy is more effective in the central and western provinces. This study provides a theoretical reference for achieving high-quality development of the digital economy while promoting carbon emissions reduction.

4-Octyl itaconate reduces influenza A replication by targeting the nuclear export protein CRM1.

IMPORTANCE: Itaconate derivates, as well as the naturally produced metabolite, have been proposed as antivirals against influenza virus. Here, the mechanism behind the antiviral effects of exogenous 4-octyl itaconate (4-OI), a derivative of itaconate, against the influenza A virus replication is demonstrated. The data indicate that 4-OI targets the cysteine at position 528 of the CRM1 protein, resulting in inhibition of the nuclear export of viral ribonucleoprotein complexes in a similar manner as previously described for other selective inhibitors of nuclear export. These results postulate a mechanism not observed before for this immuno-metabolite derivative. This knowledge is helpful for the development of derivatives of 4-OI as potential antiviral and anti-inflammatory therapeutics.

Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model.

The ongoing Russia-Ukraine conflict has led to significant upheaval in the worldwide natural gas sector. Accurate natural gas price forecasting, as an essential tool for mitigating market uncertainty, plays a crucial role in commodity trading and regulatory decision-making. This study aims to develop a hybrid forecasting model, the FS-GA-SVR model, which integrates feature selection (FS), genetic algorithm (GA), and support vector regression (SVR) to investigate Henry Hub natural gas price prediction amidst the Russia-Ukraine conflict. The results show that: (1) The feature selection automates model input variable selection, decreasing the time required while improving the model's accuracy. (2) The use of genetic algorithm for selecting support vector regression hyperparameters significantly improves the accuracy of natural gas price predictions. The algorithm leads to a decrease of approximately 70% in measurement indicators. (3) During the Russia-Ukraine conflict, the FS-GA-SVR hybrid model demonstrates more consistent and accurate predictions for natural gas spot prices than the base SVR model. This study serves as a valuable theoretical reference for energy policymakers and natural gas market investors worldwide, supporting their ability to anticipate fluctuations in natural gas prices.

Discovery of a Potent Chloroacetamide GPX4 Inhibitor with Bioavailability to Enable Target Engagement in Mice, a Potential Tool Compound for Inducing Ferroptosis In Vivo.

Compounds that inhibit glutathione peroxidase 4 (GPX4) hold promise as cancer therapeutics in their ability to induce a form of nonapoptotic cell death called ferroptosis. Our research identified 24, a structural analog of the potent GPX4 inhibitor RSL3, that has much better plasma stability (t1/2 > 5 h in mouse plasma). The bioavailability of 24 provided efficacious plasma drug concentrations with IP dosing, thus enabling in vivo studies to assess tolerability and efficacy. An efficacy study in mouse using a GPX4-sensitive tumor model found that doses of 24 up to 50 mg/kg were tolerated for 20 days but had no effect on tumor growth, although partial target engagement was observed in tumor homogenate.

An Efficient Opal-Suppressor Tryptophanyl Pair Creates New Routes for Simultaneously Incorporating up to Three Distinct Noncanonical Amino Acids into Proteins in Mammalian Cells.

Site-specific incorporation of multiple distinct noncanonical amino acids (ncAAs) into proteins in mammalian cells is a promising technology, where each ncAA must be assigned to a different orthogonal aminoacyl-tRNA synthetase (aaRS)/tRNA pair that reads a distinct nonsense codon. Available pairs suppress TGA or TAA codons at a considerably lower efficiency than TAG, limiting the scope of this technology. Here we show that the E. coli tryptophanyl (EcTrp) pair is an excellent TGA-suppressor in mammalian cells, which can be combined with the three other established pairs to develop three new routes for dual-ncAA incorporation. Using these platforms, we site-specifically incorporated two different bioconjugation handles into an antibody with excellent efficiency, and subsequently labeled it with two distinct cytotoxic payloads. Additionally, we combined the EcTrp pair with other pairs to site-specifically incorporate three distinct ncAAs into a reporter protein in mammalian cells.

Identifying vital nodes for influence maximization in attributed networks.

Identifying a set of vital nodes to achieve influence maximization is a topic of general interest in network science. Many algorithms have been proposed to solve the influence maximization problem in complex networks. Most of them just use topology information of networks to measure the node influence. However, the node attribute is also an important factor for measuring node influence in attributed networks. To tackle this problem, we first propose an extension model of linear threshold (LT) propagation model to simulate the information propagation in attributed networks. Then, we propose a novel community-based method to identify a set of vital nodes for influence maximization in attributed networks. The proposed method considers both topology influence and attribute influence of nodes, which is more suitable for identifying vital nodes in attributed networks. A series of experiments are carried out on five real world networks and a large scale synthetic network. Compared with CELF, IMM, CoFIM, HGD, NCVoteRank and K-Shell methods, experimental results based on different propagation models show that the proposed method improves the influence spread by [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text].

Itaconate and itaconate derivatives target JAK1 to suppress alternative activation of macrophages.

The Krebs cycle-derived metabolite itaconate and its derivatives suppress the inflammatory response in pro-inflammatory "M1" macrophages. However, alternatively activated "M2" macrophages can take up itaconate. We therefore examined the effect of itaconate and 4-octyl itaconate (OI) on M2 macrophage activation. We demonstrate that itaconate and OI inhibit M2 polarization and metabolic remodeling. Examination of IL-4 signaling revealed inhibition of JAK1 and STAT6 phosphorylation by both itaconate and OI. JAK1 activation was also inhibited by OI in response to IL-13, interferon-ß, and interferon-γ in macrophages and in T helper 2 (Th2) cells. Importantly, JAK1 was directly modified by itaconate derivatives at multiple residues, including cysteines 715, 816, 943, and 1130. Itaconate and OI also inhibited JAK1 kinase activity. Finally, OI treatment suppressed M2 macrophage polarization and JAK1 phosphorylation in vivo. We therefore identify itaconate and OI as JAK1 inhibitors, suggesting a new strategy to inhibit JAK1 in M2 macrophage-driven diseases.

Site-specific incorporation of citrulline into proteins in mammalian cells.

Citrullination is a post-translational modification (PTM) of arginine that is crucial for several physiological processes, including gene regulation and neutrophil extracellular trap formation. Despite recent advances, studies of protein citrullination remain challenging due to the difficulty of accessing proteins homogeneously citrullinated at a specific site. Herein, we report a technology that enables the site-specific incorporation of citrulline (Cit) into proteins in mammalian cells. This approach exploits an engineered E. coli-derived leucyl tRNA synthetase-tRNA pair that incorporates a photocaged-citrulline (SM60) into proteins in response to a nonsense codon. Subsequently, SM60 is readily converted to Cit with light in vitro and in living cells. To demonstrate the utility of the method, we biochemically characterize the effect of incorporating Cit at two known autocitrullination sites in Protein Arginine Deiminase 4 (PAD4, R372 and R374) and show that the R372Cit and R374Cit mutants are 181- and 9-fold less active than the wild-type enzyme. This technology possesses the potential to decipher the biology of citrullination.

Optical frequency and phase information-based fusion approach for image rotation symmetry detection.

Detecting an object using rotation symmetry property is widely applicable as most artificial objects have this property. However, current known techniques often fail due to using single symmetry energy. To tackle this problem, this paper proposes a novel method which consists of two steps: 1) Based on an optical image, two independent symmetry energies are extracted from the optical frequency space (RSS - Rotation Symmetry Strength) and phase space (SSD - Symmetry Shape Density). And, an optimized symmetry-energy-based fusion algorithm is creatively applied to these two energies to achieve a more comprehensive reflection of symmetry information. 2) In the fused symmetry energy map, the local region detection algorithm is used to realize the detection of multi-scale symmetry targets. Compared with known methods, the proposed method can get more multiple-scale (skewed, small-scale, and regular) rotation symmetry centers, and can significantly boost the performance of detecting symmetry properties with better accuracy. Experimental results confirm the performance of the proposed method, which is superior to the state-of-the-art methods.

A "Quenchergenic" Chemoselective Protein Labeling Strategy.

Dynamic changes in protein structure can be monitored by using a fluorescent probe and a dark quencher. This approach is contingent upon the ability to precisely introduce a fluorophore/quencher pair into two specific sites of a protein of interest. Despite recent advances, there is continued demand for new and convenient approaches to site-selectively label proteins with such optical probes. We have recently developed a chemoselectively rapid azo-coupling reaction (CRACR) for site-specific protein labeling; it relies on rapid coupling between a genetically encoded 5-hydroxytryptophan residue and various aromatic diazonium ions. Herein, it is reported that the product of this conjugation reaction, a highly chromophoric biarylazo group, is a potent fluorescence quencher. The absorption properties of this azo product can be tuned by systematically altering the structure of the aryldiazonium species. A particular "quenchergenic" aryldiazonium has been identified that, upon conjugation, efficiently quenches the fluorescence of green fluorescent protein, which is a widely used genetically encoded fluorescent probe that can be terminally attached to target proteins. This fluorophore/quencher pair was used to evaluate the protein-labeling kinetics of CRACR, as well as to monitor the proteolysis of a fusion protein.

Capturing Post-Translational Modification-Triggered Protein-Protein Interactions Using Dual Noncanonical Amino Acid Mutagenesis.

Reversible post-translational modification (PTM) is a powerful and ubiquitous mechanism to regulate protein function. The mechanistic basis of the associated functional regulation by PTMs often involves the recruitment of interaction partners that selectively bind the modified protein. Identifying such functionally important protein-protein interactions that are uniquely triggered by PTMs remains difficult due to several technical challenges. To address this, here we develop technology to site-specifically incorporate two distinct noncanonical amino acids into recombinant proteins: one modeling a PTM of interest and the second harboring a photoaffinity probe. Using lysine-23 acetylation of histone 3 as a model system, we show that such dual-labeled "protein probes" can covalently capture its "reader" protein.

Expanding the Scope of Single- and Double-Noncanonical Amino Acid Mutagenesis in Mammalian Cells Using Orthogonal Polyspecific Leucyl-tRNA Synthetases.

Engineered aminoacyl-tRNA synthetase/tRNA pairs that enable site-specific incorporation of noncanonical amino acids (ncAAs) into proteins in living cells have emerged as powerful tools in chemical biology. The Escherichia coli-derived leucyl-tRNA synthetase (EcLeuRS)/tRNA pair is a promising candidate for ncAA mutagenesis in mammalian cells, but it has been engineered to charge only a limited set of ncAAs so far. Here we show that two highly polyspecific EcLeuRS mutants can efficiently charge a large array of useful ncAAs into proteins expressed in mammalian cells, while discriminating against the 20 canonical amino acids. When combined with an opal-suppressing pyrrolysyl pair, these EcLeuRS variants further enabled site-specific incorporation of different combinations of two distinct ncAAs into proteins expressed in mammalian cells.

Defining the current scope and limitations of dual noncanonical amino acid mutagenesis in mammalian cells.

The ability to site-specifically incorporate two distinct noncanonical amino acids (ncAAs) into the proteome of a mammalian cell with high fidelity and efficiency will have many enabling applications. It would require the use of two different engineered aminoacyl-tRNA synthetase (aaRS)/tRNA pairs, each suppressing a distinct nonsense codon, and which cross-react neither with each other, nor with their counterparts from the host cell. Three different aaRS/tRNA pairs have been developed so far to expand the genetic code of mammalian cells, which can be potentially combined in three unique ways to drive site-specific incorporation of two distinct ncAAs. To explore the suitability of using these combinations for suppressing two distinct nonsense codons with high fidelity and efficiency, here we systematically investigate: (1) how efficiently the three available aaRS/tRNA pairs suppress the three different nonsense codons, (2) preexisting cross-reactivities among these pairs that would compromise their simultaneous use, and (3) whether different nonsense-suppressor tRNAs exhibit unwanted suppression of non-cognate stop codons in mammalian cells. From these comprehensive analyses, two unique combinations of aaRS/tRNA pairs emerged as being suitable for high-fidelity dual nonsense suppression. We developed expression systems to validate the use of both combinations for the site-specific incorporation of two different ncAAs into proteins expressed in mammalian cells. Our work lays the foundation for developing powerful applications of dual-ncAA incorporation technology in mammalian cells, and highlights aspects of this nascent technology that need to be addressed to realize its full potential.

Expanding the genetic code of mammalian cells.

In the last two decades, unnatural amino acid (UAA) mutagenesis has emerged as a powerful new method to probe and engineer protein structure and function. This technology enables precise incorporation of a rapidly expanding repertoire of UAAs into predefined sites of a target protein expressed in living cells. Owing to the small footprint of these genetically encoded UAAs and the large variety of enabling functionalities they offer, this technology has tremendous potential for deciphering the delicate and complex biology of the mammalian cells. Over the last few years, exciting progress has been made toward expanding the toolbox of genetically encoded UAAs in mammalian cells, improving the efficiency of their incorporation and developing innovative applications. Here, we provide our perspective on these recent developments and highlight the current challenges that must be overcome to realize the full potential of this technology.

An orthogonalized platform for genetic code expansion in both bacteria and eukaryotes.

In this study, we demonstrate the feasibility of expanding the genetic code of Escherichia coli using its own tryptophanyl-tRNA synthetase and tRNA (TrpRS-tRNATrp) pair. This was made possible by first functionally replacing this endogenous pair with an E. coli-optimized counterpart from Saccharomyces cerevisiae, and then reintroducing the liberated E. coli TrpRS-tRNATrp pair into the resulting strain as a nonsense suppressor, which was then followed by its directed evolution to genetically encode several new unnatural amino acids (UAAs). These engineered TrpRS-tRNATrp variants were also able to drive efficient UAA mutagenesis in mammalian cells. Since bacteria-derived aminoacyl-tRNA synthetase (aaRS)-tRNA pairs are typically orthogonal in eukaryotes, our work provides a general strategy to develop additional aaRS-tRNA pairs that can be used for UAA mutagenesis of proteins expressed in both E. coli and eukaryotes.

Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization.

In depth discontinuous and untextured regions, depth maps created by multiple view stereopsis are with heavy noises, but existing depth map fusion methods cannot handle it explicitly. To tackle the problem, two novel strategies are proposed: 1) a more discriminative fusion method, which is based on geometry consistency, measuring the consistency, and stability of surface geometry computed on both partial and global surfaces, different from traditional methods only using visibility consistency; 2) a graph optimization method which fuses pyramids of depth maps as mutual complementary information is available in different scales, and differs from existing multi-scale fusion methods. The method considers both sampling scale of a point and relations among points, and is proven to be solvable by graph cuts. Experimental results verify the superior performance of the proposed method to the traditional visibility consistency-based methods, and the proposed method is also compared favorably with a number of state-of-the-art methods. Moreover, the proposed method achieves the highest completeness among all the methods compared.

Virus-Enabled Optimization and Delivery of the Genetic Machinery for Efficient Unnatural Amino Acid Mutagenesis in Mammalian Cells and Tissues.

Unnatural amino acid (UAA) mutagenesis of recombinant proteins in live mammalian cells requires coexpression of the mutant target, as well as an engineered tRNA/aminoacyl-tRNA synthetase pair. The ability to readily determine the optimal relative expression levels of these three genetic components for efficient expression of the UAA-modified target is highly desirable, but remains challenging to accomplish. Here we report a facile strategy to achieve this by taking advantage of the efficient gene-delivery by a baculovirus vector, which enables systematic variation of the expression level of each genetic component in a population-wide manner. Insights gained from this study led to the design of an optimal expression system, which can be delivered into mammalian cells by a single baculovirus vector to provide significantly improved UAA incorporation efficiency at a low virus load. Furthermore, this optimized baculovirus vector was shown to enable efficient UAA mutagenesis of proteins expressed in mouse brain tissue.

A Precise Chemical Strategy To Alter the Receptor Specificity of the Adeno-Associated Virus.

The ability to target the adeno-associated virus (AAV) to specific types of cells, by altering the cell-surface receptor it binds, is desirable to generate safe and efficient therapeutic vectors. Chemical attachment of receptor-targeting agents onto the AAV capsid holds potential to alter its tropism, but is limited by the lack of site specificity of available conjugation strategies. The development of an AAV production platform is reported that enables incorporation of unnatural amino acids (UAAs) into specific sites on the virus capsid. Incorporation of an azido-UAA enabled site-specific attachment of a cyclic-RGD peptide onto the capsid, retargeting the virus to the αv ß3 integrin receptors, which are overexpressed in tumor vasculature. Retargeting ability was site-dependent, underscoring the importance of achieving site-selective capsid modification. This work provides a general chemical approach to introduce various receptor binding agents onto the AAV capsid with site selectivity to generate optimized vectors with engineered infectivity.

Performance of optimized noncanonical amino acid mutagenesis systems in the absence of release factor 1.

Site-specific incorporation of noncanonical amino acids (ncAAs) into proteins expressed in E. coli using UAG-suppression competes with termination mediated by release factor 1 (RF1). Recently, unconditional deletion of RF1 was achieved in a genomically recoded E. coli (C321), devoid of all endogenous UAG stop codons. Here we evaluate the efficiency of ncAA incorporation in this strain using optimized suppression vectors. Even though the absence of RF1 does not benefit the suppression efficiency of a single UAG codon, multi-site incorporation of a series of chemically distinct ncAAs was significantly improved.

New paradigm for allosteric regulation of Escherichia coli aspartate transcarbamoylase.

For nearly 60 years, the ATP activation and the CTP inhibition of Escherichia coli aspartate transcarbamoylase (ATCase) has been the textbook example of allosteric regulation. We present kinetic data and five X-ray structures determined in the absence and presence of a Mg(2+) concentration within the physiological range. In the presence of 2 mM divalent cations (Mg(2+), Ca(2+), Zn(2+)), CTP does not significantly inhibit the enzyme, while the allosteric activation by ATP is enhanced. The data suggest that the actual allosteric inhibitor of ATCase in vivo is the combination of CTP, UTP, and a divalent cation, and the actual allosteric activator is a divalent cation with ATP or ATP and GTP. The structural data reveals that two NTPs can bind to each allosteric site with a divalent cation acting as a bridge between the triphosphates. Thus, the regulation of ATCase is far more complex than previously believed and calls many previous studies into question. The X-ray structures reveal that the catalytic chains undergo essentially no alternations; however, several regions of the regulatory chains undergo significant structural changes. Most significant is that the N-terminal region of the regulatory chains exists in different conformations in the allosterically activated and inhibited forms of the enzyme. Here, a new model of allosteric regulation is proposed.