Advances in polymer nanomaterials targeting cGAS-STING pathway for enhanced cancer immunotherapy.

Cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-stimulator of interferon genes (STING) pathway has been recognized as a promising target for cancer immunotherapy. Although various STING agonists have been developed, their clinical applications are still severely impeded by various issues, such as non-specific accumulation, adverse effects, rapid clearance, etc. In recent years, the emergence of nanomaterials has profoundly revolutionized STING agonists delivery, which promote tumor-targeted delivery, boost the immunotherapeutic effects and reduce systemic toxicity of STING agonists.

Ultra-selective recognition of UO triggering its intrinsic luminescence using a precisely designed europium metal-organic framework.

A novel method for highly selective recognition of UO is proposed based on a [Eu(pyridine-2,5-dicarboxylic acid -oxide)] (Eu-PDA) metal-organic framework. Benefiting from the unique chemical structure of Eu-PDA, energy transfer from PDA to UO was enabled, resulting in the highly up-regulated fluorescence of UO. The Eu-PDA probe showed excellent specificity to UO over numerous interfering species, as the intrinsic emissions of UO were triggered.

Association of and Gene Polymorphisms with Litter Size in Hu Sheep.

(1) Background: Litter size is one of the most important economic traits of sheep. The locus has been extensively studied due to its significant impact on litter size in Hu sheep, and and have also been reported as major genes associated with litter size in sheep. This study aimed to identify variants of and and perform an association analysis of these variants with litter size in the Hu sheep breed.

Association between gallbladder disease and colorectal neoplasia: a meta-analysis.

Although studies are available on the impact of gallbladder disease on the risk of colorectal neoplasia (CRN), the results are still debatable. We conducted a meta-analysis to summarize the correlation between gallbladder diseases and CRN. Eligible studies up to June 2024 were screened and retrieved using PubMed and Web of Science as well as by performing a manual review of references.

Using statistical analysis to explore the influencing factors of data imbalance for machine learning identification methods of human transcriptome m6A modification sites.

RNA methylation, particularly through m6A modification, represents a crucial epigenetic mechanism that governs gene expression and influences a range of biological functions. Accurate identification of methylation sites is crucial for understanding their biological functions. Traditional experimental methods, however, are often costly and can be influenced by experimental conditions, making machine learning, especially deep learning techniques, a vital tool for m6A site identification.

Genome-Wide Association Analysis of Growth Traits in Hu Sheep.

(1) Background: The Hu sheep is a renowned breed characterized by high reproduction, year-round estrus, and resistance to high humidity and temperature conditions. However, the breed exhibits lower growth rates and meat yields, which necessitate improvements through selective breeding. The integration of molecular markers in sheep breeding programs has the potential to enhance growth performance, reduce breeding cycles, and increase meat production.

PTSP-BERT: Predict the thermal stability of proteins using sequence-based bidirectional representations from transformer-embedded features.

Thermophilic proteins, mesophiles proteins and psychrophilic proteins have wide industrial applications, as enzymes with different optimal temperatures are often needed for different purposes. Convenient methods are needed to determine the optimal temperatures for proteins; however, laboratory methods for this purpose are time-consuming and laborious, and existing machine learning methods can only perform binary classification of thermophilic and non-thermophilic proteins, or psychrophilic and non-psychrophilic proteins. Here, we developed a deep learning model, PSTP-BERT, based on protein sequences that can directly perform Three classes identification of thermophilic, mesophilic, and psychrophilic proteins.

Goos-Hänchen shift for an Airyprime beam.

We propose a comprehensive theory to analyze the Goos-Hänchen (GH) shift for an arbitrarily polarized Airyprime beam reflected at the air-dielectric interface. We derive general expressions for the spatial and angular GH shifts and establish a close relationship between the GH shift of the Airyprime beam and the GH shift of the Airy beam. We also predict the novel optical effects of a significantly enhanced spatial GH shift and an almost disappeared angular GH shift when the horizontally polarized Airyprime beam is reflected near Brewster's angle.

Molecular Pairing in Twisted Bilayer Graphene Superconductivity.

We propose a theory for how the weak phonon-mediated interaction (J_{A}=1-4  meV) wins over the prohibitive Coulomb repulsion (U=30-60  meV) and leads to a superconductor in magic-angle twisted bilayer graphene (MATBG). We find the pairing mechanism akin to that in the A_{3}C_{60} family of molecular superconductors: Each AA stacking region of MATBG resembles a C_{60} molecule, in that optical phonons can dynamically lift the degeneracy of the moiré orbitals, in analogy to the dynamical Jahn-Teller effect. Such induced J_{A} has the form of an intervalley anti-Hund's coupling and is less suppressed than U by the Kondo screening near a Mott insulator.

Alcohol exposure induces cortical activity change during quiescent state.

Alcohol Use Disorder (AUD) is a significant global mental health issue that impacts both the central and peripheral systems, leading to widespread cognitive and motor dysfunctions. The primary motor cortex (M1) plays a critical role in motor planning, control, and execution, yet the effects of chronic alcohol exposure on M1 remain underexplored, particularly during quiescent states. This study investigates the functional changes in M1 due to chronic alcohol exposure using high-resolution Neuropixels electrode recordings in a mouse model.

A pyroxene-based quantum magnet with multiple magnetization plateaus.

Pyroxenes (AMXO) consisting of infinite one-dimensional edge-sharing MO chains and bridging XO tetrahedra are fertile ground for finding quantum materials. Thus, here, we have studied calcium cobalt germanate (CaCoGeO) and calcium cobalt silicate (CaCoSiO) crystals in depth. Heat capacity data show that the spins in both compounds are dominantly Ising-like, even after being manipulated by high magnetic fields.

Azobenzene-based liposomes with nanomechanical action for cytosolic chemotherapeutic drug delivery.

The stimuli-responsive nano-carriers are at the forefront of research in nanotechnology and materials science. These advanced systems are designed to alter their physicochemical properties upon exposure to specific stimuli, enabling controllable and targeted delivery of therapeutic agents. Nevertheless, limited endosomal escape reduces the drug bioavailability in clinical use.

Study on crease recovery property of warp-knitted jacquard spacer shoe upper material.

Shoe upper materials are often subjected to repeated creasing in use, which affects their shape retention and aesthetic. The crease recovery property of fabrics is an important property that affects its serviceability. Six variants of warp-knitted jacquard spacer fabrics with different jacquard layer structures were selected and the crease recovery angles on six orientation angles were tested for 30 cycles.

CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.

Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent advances of model-agnostic interpretation approach and develop CGMega, an explainable and graph attention-based deep learning framework to perform cancer gene module dissection. CGMega outperforms current approaches in cancer gene prediction, and it provides a promising approach to integrate multi-omics information.

Site-recognition boosted the sensing performance of terbium-based organic frameworks for UO detection.

A unique fluorescent sensing probe for UO detection was fabricated with terbium-based metal organic frameworks introducing specific recognition sites (denoted as Tb-TDPAT). The newly formed Tb-TDPAT presented remarkable detection sensitivity and selectivity towards UO, surpassing the need for complex post-modification methods.

A Ligand-Directed Spatial Regulation to Structural and Functional Tunability in Aggregation-Induced Emission Luminogen-Functionalized Organic-Inorganic Nanoassemblies.

Aggregation-induced emission luminogen (AIEgen)-functionalized organic-inorganic hybrid nanoparticles (OINPs) are an emerging category of multifunctional nanomaterials with vast potential applications. The spatial arrangement and positioning of AIEgens and inorganic compounds in AIEgen-functionalized OINPs determine the structures, properties, and functionalities of the self-assembled nanomaterials. In this work, a facile and general emulsion self-assembly tactic for synthesizing well-defined AIEgen-functionalized OINPs is proposed by coassembling alkane chain-functionalized inorganic nanoparticles with hydrophobic organic AIEgens.

Multimodal integration for Barrett's esophagus.

The esophageal adenocarcinoma is facing a worldwide challenge: early prediction and risk assessment in clinical Barrett's esophagus (BE). In recent years, the growing interests have been witnessed in prediction and risk assessment in clinical BE. However, the resolution is limited, and the system is huge and expensive for the existing devices.

Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling.

Neurovascular coupling (NVC) is important for brain function and its dysfunction underlies many neuropathologies. Although cell-type specificity has been implicated in NVC, how active neural information is conveyed to the targeted arterioles in the brain remains poorly understood. Here, using two-photon focal optogenetics in the mouse cerebral cortex, we demonstrate that single glutamatergic axons dilate their innervating arterioles via synaptic-like transmission between neural-arteriolar smooth muscle cell junctions (NsMJs).

Large off-diagonal magnetoelectricity in a triangular Co-based collinear antiferromagnet.

Magnetic toroidicity is an uncommon type of magnetic structure in solid-state materials. Here, we experimentally demonstrate that collinear spins in a material with R-3 lattice symmetry can host a significant magnetic toroidicity, even parallel to the ordered spins. Taking advantage of a single crystal sample of CoTeO with an R-3 space group and a Co triangular sublattice, temperature-dependent magnetic, thermodynamic, and neutron diffraction results reveal A-type antiferromagnetic order below 19.