Publications by authors named "Yu-chen Liu"

Dendritic cells (DCs) play a crucial role in initiating antitumor immune responses. However, in the tumor environment, dendritic cells often exhibit impaired antigen presentation and adopt an immunosuppressive phenotype, which hinders their function and reduces their ability to efficiently present antigens. Here, a dual catalytic oxide nanosponge (DON) doubling as a remotely boosted catalyst and an inducer of programming DCs to program immune therapy is reported.

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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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The recruitment of T lymphocytes holds great potential for suppressing the most aggressive glioblastoma (GBM) recurrence with immunotherapy. However, the phenomenon of immune privilege and the generally low immunogenicity of vaccines often reduce the presence of lymphocytes within brain tumors, especially in brain tumor recurrence clusters. In this study, an implantable self-cascading catalytic therapy and antigen capture scaffold (CAS) that can boost catalytic therapy efficiency at post-surgery brain tumor and capture the antigens via urethane-polyethylene glycol-polypropylene glycol (PU-EO-PO) segments are developed for postoperative brain immunotherapy.

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Adenosine triphosphate plays a vital role in providing energy and enabling key cellular processes through interactions with binding proteins. The increasing amount of protein sequence data necessitates computational methods for identifying binding sites. However, experimental identification of adenosine triphosphate-binding residues remains challenging.

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  • Memory processes, particularly retrieval and reconsolidation, are influenced by dynamic, phase-dependent regulation, with a growing interest in the molecular mechanisms behind this.
  • In a study examining the transcriptome during memory retrieval, researchers found significant gene expression changes at 48 hours post-retrieval, particularly linked to dipeptidyl peptidase 9 (DPP9).
  • The study concluded that DPP9 plays a crucial role in fear memory retrieval, suggesting that specific gene expression patterns are triggered by recent memory retrieval efforts.
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  • Researchers created a new Alzheimer’s disease (AD) model mouse using human tau protein to better understand microglial states related to tau pathology, which hasn't been thoroughly studied yet.
  • The study found that microglia associated with disease increased after tau accumulation, suggesting a shift from age-related microglia to a disease-associated profile in the brains of these model mice.
  • Advanced techniques like single-nucleus RNA sequencing and spatial transcriptomics were employed to highlight how tau propagation affects microglial behavior, paving the way for deeper insights into tau-related changes in the AD brain.
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Exacerbation of scarring can originate from a minority fibroblast population that has undergone inflammatory-mediated genetic changes within the wound microenvironment. The fundamental relationship between molecular and spatial organization of the repair process at the single-cell level remains unclear. We have developed a novel, high-resolution spatial multiomics method that integrates spatial transcriptomics with scRNA-Seq; we identified new characteristic features of cell-cell communication and signaling during the repair process.

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Background: In recent years, Autoimmune diseases (ADs) and hearing loss are both significant public health burdens worldwide. An increasing number of studies are focusing on the potential link between these two diseases and exploring how hearing loss can be prevented and treated in the context of autoimmune diseases. In response to this focus, it is very necessary to conduct bibliometric analysis and molecular mechanism exploration to provide guidance for the exploration of basic mechanisms and clinical management.

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  • Environmental heat and cold exposure (EHCE) is a major preventable cause of health issues and deaths in children and adolescents worldwide, with a focus on the data from 1990 to 2019.* -
  • The analysis utilized data from the Global Burden of Disease Study, covering 204 countries to track EHCE-related trends, including incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) by various demographics.* -
  • While overall EHCE rates showed a decline from 1990 to 2019, there was a notable increase in incidence and prevalence between 2010 and 2019, especially in regions like Southern sub-Saharan Africa, highlighting significant disparities based on socioeconomic status.*
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  • Hemorrhagic events lead to numerous deaths globally, creating a demand for effective hemostatic drugs; BSCE, derived from the orchid plant, shows promise in treating bleeding mice but needs further investigation for non-traumatic bleeding.
  • In a study with 40 rats, BSCE was administered to assess its impact on various health metrics, including red blood cell count and lung tissue pathology, compared to a control group and a positive treatment group.
  • Results indicated BSCE improved body weight, red blood cell levels, and lung tissue condition while positively influencing coagulation parameters and revealing potential biological pathways for hemostatic action via network pharmacology and molecular docking analysis.
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  • * This study introduces DeepNeoAG, a deep learning model that combines protein language models and convolutional neural networks to accurately predict neoantigens from tumor mutations.
  • * DeepNeoAG outperforms existing methods, showing promise in enhancing the development of tailored cancer treatments.
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  • Circular RNAs (circRNAs) are unique RNA molecules that resist degradation, offering potential as stable biomarkers and therapeutic targets for diseases.
  • This study focused on analyzing circRNAs during the response to the BNT162b2 mRNA vaccine by sequencing blood samples from healthcare workers.
  • A total of 4706 circRNAs were identified, with 4217 being newly expressed during vaccination, suggesting they play a role in immune response and are associated with stress granule assemblies and specific RNA binding proteins.
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  • * The study introduces vesiMCNN, a new computational approach that combines pre-trained protein language models with a multi-window scanning CNN to identify vesicular transport proteins accurately.
  • * The model shows impressive results with an MCC of 0.558 and an AUC-ROC of 0.933, surpassing previous methods, and a new benchmark dataset has been created to support future research in this area.
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  • - Researchers studied how mesophilic biomass adapts to lower temperatures in anaerobic digestion reactors, gradually reducing the temperature from 37°C to 15°C over 166 days while using wastewater with long chain fatty acids as feedstock.
  • - The acclimated biomass effectively removed over 75% of organic matter and more than 99% of long chain fatty acids, but the temperature drop resulted in decreased microbial diversity.
  • - Key findings included the dominance of specific bacteria, such as Smithella, during LCFA degradation, and the production of cellular solutes as a response to cold stress, providing valuable insights into microbial adaptation to psychrophilic conditions.
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Whereas severe COVID-19 is often associated with elevated autoantibody titers, the underlying mechanism behind their generation has remained unclear. Here we report clonal composition and diversity of autoantibodies in humoral response to SARS-CoV-2. Immunoglobulin repertoire analysis and characterization of plasmablast-derived monoclonal antibodies uncovered clonal expansion of plasmablasts producing cardiolipin (CL)-reactive autoantibodies.

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  • The advancement of computation power and machine learning is enabling the automation of scientific discovery using scanning probe microscopes (SPM).* -
  • A new Python interface library has been created to control SPMs from both local and remote high-performance computers, meeting the computational demands of machine learning.* -
  • The developed platform allows for the operation of SPM in various workflows, facilitating automated processes for routine tasks and autonomous scientific research.*
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  • The study aimed to evaluate how well narrow-band imaging (NBI) performs in monitoring posttreatment head and neck cancers compared to traditional white light endoscopy (WLE).
  • Data was gathered from multiple scientific databases, analyzing literature published before July 2024, focusing on patients who had surgery or other treatments for these cancers.
  • Results showed NBI had significantly higher sensitivity (95%) and specificity (96%) for detecting cancer recurrence compared to WLE (72% sensitivity, 72% specificity), indicating that NBI is more effective for early detection of cancer recurrences.
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The fast-growing global population has led to a substantial increase in food production, which generates large volumes of wastewater during the process. Despite most industrial wastewater being discharged at lower ambient temperatures (<20 °C), majority of the high-rate anaerobic reactors are operated at mesophilic temperatures (>30 °C). High-rate low-temperature anaerobic digestion (LtAD) has proven successful in treating industrial wastewater both at laboratory and pilot scales, boasting efficient organic removal and biogas production.

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Deciphering the mechanisms governing protein-DNA interactions is crucial for understanding key cellular processes and disease pathways. In this work, we present a powerful deep learning approach that significantly advances the computational prediction of DNA-interacting residues from protein sequences. Our method leverages the rich contextual representations learned by pre-trained protein language models, such as ProtTrans, to capture intrinsic biochemical properties and sequence motifs indicative of DNA binding sites.

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  • Rheumatoid arthritis (RA) is an autoimmune disease that causes inflammation leading to joint damage and disability, and this study aims to identify potential biomarkers and immune mechanisms for early diagnosis using machine learning and bioinformatics.
  • Researchers analyzed public gene data, focusing on differentially expressed genes (DEGs) and applied functional enrichment analysis, utilizing various machine learning methods to narrow down key biomarkers associated with RA.
  • 79 DEGs were identified, leading to the selection of 12 hub genes across multiple machine learning techniques, which were further validated for their expression and diagnostic significance in RA.
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Background: The Chinese ethnic medicine Jie-Du-Huo-Xue Decoction (JDHXD) is used to alleviate neuroinflammation in cerebral ischemia (CI). Our previous studies have confirmed that JDHXD can inhibit microglial pyroptosis in CI. However, the pharmacological mechanism of JDHXD in alleviating neuroinflammation and pyroptosis needs to be further elucidated.

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Mitochondrial carriers (MCs) are essential proteins that transport metabolites across mitochondrial membranes and play a critical role in cellular metabolism. ADP/ATP (adenosine diphosphate/adenosine triphosphate) is one of the most important carriers as it contributes to cellular energy production and is susceptible to the powerful toxin bongkrekic acid. This toxin has claimed several lives; for example, a recent foodborne outbreak in Taipei, Taiwan, has caused four deaths and sickened 30 people.

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This study developed a UPLC-PDA wavelength switching method to simultaneously determine the content of maltol and seventeen saponins in red and black ginseng and compared the quality differences of two different processed products of red and black ginseng. A Waters HSS T3 column(2. 1 mm×100 mm, 1.

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  • Patients often struggle to accept Alzheimer’s disease treatments due to high costs and side effects of FDA-approved drugs.
  • This study explored the effects of a natural substance called common buckwheat polysaccharides (FEP) on preventing Alzheimer's in rats treated with aluminum chloride, finding improvements in memory and brain health.
  • The results indicate that FEP helps reduce oxidative stress and inflammation while enhancing beneficial gut bacteria, leading to improved cognitive function in these treated rats.
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