Publications by authors named "Bing He"

The wide dissemination of multidrug-resistant (MDR) Gram-negative bacteria poses a significant global health and security concern. As developing new antibiotics is generally costly, fastidious, and time-consuming, there is an urgent need for alternative therapeutic strategies to address the gap in antibiotic discovery void. This study aimed to investigate the activity of colistin (CS) in combination with a natural product, rutin (RT), to combat against Typhimurium ( Tm) in vitro and in vivo.

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Redox-responsive self-assembled prodrug nanoparticles have received extensive attention for their high loading efficiency and environmentally responsive properties. However, the intracellular metabolism and transportation kinetics were poorly understood, which limited the rational design and development of this delivery system. Herein, tetraphenylporphyrin-paclitaxel (TxP) prodrugs with thioether, disulfide, and dicarbon linkers (TsP, TssP, and TccP) were synthesized and self-assembled as nanoparticles.

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Alzheimer's disease (AD) is a neurodegenerative disorder that results in progressive cognitive decline but without any clinically validated cures so far. Understanding the progression of AD is critical for early detection and risk assessment for AD in aging individuals, thereby enabling initiation of timely intervention and improved chance of success in AD trials. Recent pseudotime approach turns cross-sectional data into "faux" longitudinal data to understand how a complex process evolves over time.

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  • * A benchmark study was conducted using experimental single-cell immune profiling datasets, highlighting that the methods TRUST4 and MiXCR provided superior performance in TCR reconstruction, while DeRR also showed notable accuracy.
  • * The introduction of the YASIM-scTCR simulator allows for the generation of diverse TCR-derived sequences, but the study found that sequencing depth significantly affects the success of TCR construction from scRNA-seq data.
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  • Accurate detection of driver gene mutations is key for treating lung cancer, but traditional methods require high-quality tissue samples and can be too slow or unavailable for many patients, especially in low-resource areas.
  • The study developed an AI model called DeepGEM, which uses routine histological slides to predict gene mutations without needing prior annotation or high-quality samples.
  • The model was trained and tested on a large dataset of lung cancer patients across multiple hospitals in China, showing promising results in predicting gene mutations, which was further validated on external and public datasets.
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Due to the expansion of artificial oases in these areas, scientific assessment of the carbon emission and eco-environment effects caused by changes in agriculture, towns, and ecological space is of great significance in grasping the carbon emission characteristics of various land use types, formulating land use emission reduction strategies, promoting the construction of ecological civilization, and optimizing the spatial pattern of the national territory. Based on land use data and socio-economic data, taking the inland river basin of the arid zone of the Xinjiang-Aksu River Basin as the research object, the carbon emission coefficient method was used to measure land-use carbon emissions, and spatial autocorrelation analysis and standard deviation ellipse were used to analyze the spatial evolution characteristics of carbon emissions from agriculture-town-ecological space in the Aksu River Basin. Based on the eco-environment quality index and ecological contribution rate, the impact of the agriculture-town-ecological space transformation on the eco-environment effects in the Aksu River Basin was explored.

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  • - The study explores using vacuum distillation (VD) to effectively purify aluminum (Al) from Al-Mg alloys, employing advanced models to determine activity coefficients for the alloy components.
  • - The research identifies the non-random two-liquid (NRTL) model as the most accurate for computing these coefficients and creates a vapor-liquid equilibrium (VLE) diagram to inform purification limits within specific temperature ranges.
  • - Experimental results demonstrate that the VD method can achieve a high Al purity of 99.9989% while maintaining a direct recovery efficiency of 97.98%, all while adhering to eco-friendly standards in metallurgical practices.
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Alzheimer's disease (AD) is a highly heritable brain dementia, along with substantial failure of cognitive function. Large-scale genome-wide association studies (GWASs) have led to a set of SNPs significantly associated with AD and related traits. GWAS hits usually emerge as clusters where a lead SNP with the highest significance is surrounded by other less significant neighboring SNPs.

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Reclaimed water recharge into rivers is an important supplementary approach to address water resource shortage in arid and semi-arid areas worldwide. However, the ecology impacts of reclaimed water recharge on the rivers are still unknown, especially for the microbial assemble and species coexistence in different seasons. Here, the evolution of microbiome and its response to different reasons in the Jialu River, which was subjected to long-term reclaimed water recharge, is investigated by using 16S rRNA gene sequencing and multivariate statistical methods.

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Spatial transcriptomics has allowed researchers to analyze transcriptome data in its tissue sample's spatial context. Various methods have been developed for detecting spatially variable genes (SV genes), whose gene expression over the tissue space shows strong spatial autocorrelation. Such genes are often used to define clusters in cells or spots downstream.

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Unraveling the robust self-adaptivity and minimal energy-dissipation of soft reticular materials for environmental catalysis presents a compelling yet unexplored avenue. Herein, a top-down strategy, tailoring from the unique linkage basis, flexibility degree, skeleton electronics to trace-guest adaptability, is proposed to fill the understanding gap between micro-soft covalent organic frameworks (COFs) and photocatalytic performance. The thio(urea)-basis-dominated linkage within benzotrithiophene-based COFs induce the framework contraction/swelling (intralayer micro-flexibility) in response to tetrahydrofuran or water.

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The rapid development of sequencing technology has led to an explosion of plant genome data, opening up more opportunities for research in the field of comparative evolutionary analysis of plant genomes. In this review, we focus on changes in plant genome size and composition, examining the effects of polyploidy, whole-genome duplication, and alternations in transposable elements on plant genome architecture and evolution, respectively. In addition, to address gaps in the available information, we also collected and analyzed 234 representative plant genome data as a supplement.

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Ex vivo or in vivo cell-hitchhiking has emerged as a potential means for efficient drug delivery and various disease therapies. However, many challenges remain, such as the complicated engineering process and dependence on ligand-receptor interaction. Here, we present a simple in vivo platelet-hitchhiking strategy based on self-assembling peptides without ligand modification.

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Functional fibers, retaining nanoscale characteristics or nanomaterial properties, represent a significant advance in nanotechnology. Notably, the combination of scalable manufacturing with cutting-edge nanotechnology further expands their utility across numerous disciplines. Manufacturing kilometer-scale functional fibers with nanoscale properties are critical to the evolution of smart textiles, wearable electronics, and beyond.

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PROteolysis TArgeting Chimeras (PROTACs) have been considered the next blockbuster therapies. However, due to their inherent limitations, the efficacy of PROTACs is frequently impaired by limited tissue penetration and particularly insufficient cellular internalization into their action sites. Herein, based on the ultra-pH-sensitive and enzyme-sensitive nanotechnology, a type of polymer PROTAC conjugated and pH/cathepsin B sequential responsive nanoparticles (PSRNs) are deliberately designed, following the construction of the PROTAC for Cyclin-dependent kinase 4 and 6 (CDK4/6).

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Background: We aimed to investigate the effect and potential mechanism of enhancing Neuregulin1 (NRG1)/v-erb-b2 avian erythroblastic leukemia viral oncogene homolog 4 (ErbB4) expression on the differentiation of induced pluripotent stem cells (iPSCs) into cardiomyocytes.

Methods: We utilized CRISPR-CAS9 technology to knock in ErbB4 and obtained a single-cell clone IPSN-AAVS1-CMV-ErbB4 (iPSCs-ErbB4). Subsequently, we induced the differentiation of iPSCs into cardiomyocytes and quantified the number of beating embryoid bodies.

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  • Alzheimer's Disease (AD) is a serious neurological condition causing cognitive decline and motor issues, making early detection and treatment essential.
  • The study introduces a new method using machine learning to analyze biomarker data from imaging and other sources, aiming to track the progression of AD more effectively.
  • By applying this method to the Alzheimer's Disease Neuroimaging Initiative dataset, researchers identified unique patterns of disease progression, which could lead to improved disease modeling and earlier diagnoses in clinical settings.
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Fiber-shaped Li-S batteries are attractive for constructing smart textiles as flexible power solutions due to their high theoretical specific capacity, flexibility and wearability. However, severe interfacial issues, such as the shuttle effect of polysulfides on the cathode side, lead to capacity decay and poor lifespan of the batteries. Herein, we report a fiber-shaped composite cathode with collaborative interface interactions to maintain electrode integrity and boost electrochemical performance.

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Driven by a sufficiently powerful pump laser, a cavity optomechanical system will stabilize in coupled oscillations of its cavity field and mechanical resonator. It was assumed that the oscillation will be continuously magnified upon enhancing the driving laser further. However, based on the nonlinear dynamics of the system, we find that the dynamical behaviors of the system are much more complex than this intuitive picture, especially when it is operated near the blue detuning point by the mechanical resonator's intrinsic frequency.

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  • Alzheimer's disease (AD) begins years before noticeable symptoms, making early detection crucial, as individuals with high amyloid levels can still be cognitively normal, indicating that amyloid alone isn't a sufficient risk marker.
  • A new risk score was created by combining amyloid imaging and genetic data to assess risk for cognitive decline in patients with mild cognitive impairment (MCI), yielding better correlation with cognitive scores than traditional amyloid measures.
  • This innovative risk score showed strong effectiveness in identifying different risk levels among subgroups of MCI patients, potentially enhancing early AD risk assessment and benefiting clinical trials.
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  • Non-small cell lung cancer (NSCLC) shows poor response to traditional therapies, leading researchers to explore the impact of MHC I expression on immunotherapy effectiveness.
  • Low-dose Suberoylanilide hydroxamic acid (SAHA), an HDAC inhibitor, was found to enhance CD8 T cell activity by increasing MHC I levels in NSCLC cells without harming cell viability.
  • The study demonstrated that high MHC I levels stimulated specific CD8 T cells, improving their activation and antitumor effects, implicating potential strategies for NSCLC treatment enhancement through IFI modulation.
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N6-methyladenosine (m6A) is the most abundant modification of RNA in eukaryotic cells. Previous studies have shown that m6A is pivotal in diverse diseases especially cancer. m6A corelates with the initiation, progression, resistance, invasion, and metastasis of cancer.

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