Publications by authors named "Pei Hao"

Visualizing the spatial distribution of antigen-specific T cells is essential for understanding immune responses and improving therapeutic strategies. However, detecting low-affinity antigen-specific T cells and enhancing signals from low-abundance populations remain challenging due to limitations in sensitivity. Here, we report DNA origami scaffold-based peptide-major histocompatibility complex multimers (DOS-pMHCs) with precise spatial organization of pMHC and signaling molecules on the nanoscale for enhanced in situ visualization of antigen-specific T cells.

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The accurate estimation of cell type proportions in tissues is crucial for various downstream analyses. With the increasing availability of single-cell sequencing data, numerous deconvolution methods that use single-cell RNA sequencing data as a reference have been developed. However, a unified understanding of how these deconvolution approaches perform in practical applications is still lacking.

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Unlabelled: The KREMEN1 (KRM1) protein is a cellular receptor for multiple enteroviruses that cause hand, foot, and mouth disease (HFMD), including coxsackievirus CVA2, CVA3, CVA4, CVA5, CVA6, CVA10, and CVA12. The molecular basis for the broad recognition of these viruses by the KRM1 receptor remains unclear. Here, we report the indispensable role of the completely conserved VP2 capsid protein residue K140 (designated K2140) in mediating receptor recognition and infection by CVA10 and other KRM1-dependent enteroviruses.

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The rapid expansion of the coal mining industry has introduced significant safety risks, particularly within the harsh environments of open-pit coal mines. The safe and stable operation of belt conveyor idlers is crucial not only for ensuring efficient coal production but also for safeguarding the lives of coal mine workers. Therefore, this paper proposes a method based on deep learning for real-time detection of conveyor idler faults.

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Background: Retinoblastoma (Rb), the primary intraocular malignancy in children, poses significant risks, yet its overall burden remains inadequately assessed. This study aims to analyze global Rb trends using Global Burden of Disease, Injuries, and Risk Factors study (GBD) 2021 data.

Methods: GBD 2021 data was analyzed to assess Rb incidence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021.

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To illustrate epigenetic heterogeneity, versatile tools of single-cell ChIP-seq (scChIP-seq) are essential for both convenience and accuracy. We developed MobiChIP, a compatible ChIP-seq library construction method based on current sequencing platforms for single-cell applications. MobiChIP efficiently captures fragments from tagmented nuclei across various species and allows sample mixing from different tissues or species.

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The nucleosome is one of the hallmarks of eukaryotes, a dynamic platform that supports many critical functions in eukaryotic cells. Here, we engineer the in vivo assembly of the nucleosome core in the model bacterium Escherichia coli. We show that bacterial chromosome DNA and eukaryotic histones can assemble in vivo to form nucleosome complexes with many features resembling those found in eukaryotes.

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Article Synopsis
  • A new deep learning model using quantum chemistry is developed to improve the prediction of DNA reaction parameters, enhancing both accuracy and efficiency.
  • The model combines quantum chemical calculations with custom descriptor matrices to account for energy changes and various influencing factors.
  • An active learning approach is used to address the lack of labeled data, resulting in better predictions of DNA hybridization free energies and strand displacement rates than current methods, contributing to the understanding and optimization of DNA systems.
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Background And Aim: Currently, hepatitis B virus-related acute liver failure (HBV-ALF) has limited treatment options. Studies have shown that histone lactylation plays a role in the progression of liver-related diseases. Therefore, it is essential to explore lactylation-related gene (LRGs) biomarkers in HBV-ALF to provide new information for the treatment of HBV-ALF.

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Article Synopsis
  • The study aimed to enhance clinical reasoning, teamwork, and self-directed learning in postgraduate nursing students using unfolding case studies and think-aloud teaching methods.
  • Postgraduate students' clinical reasoning skills, essential for patient outcomes, improved significantly after the study, showing that these educational strategies were effective.
  • Results indicated that students frequently employed specific cognitive strategies like decision-making and information gathering when tackling clinical cases, leading to better overall learning experiences.
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The coronavirus disease 2019 (COVID-19) pandemic poses an enormous threat to public health worldwide. Many retrospective studies and case reports to date have shown associations between severe COVID-19 and diseases of multi-organs. However, the research on the causal mechanisms behind this phenomenon is neither extensive nor comprehensive.

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  • Researchers developed a new sensor array using surface-enhanced Raman scattering (SERS) and deep learning to quickly identify how chemotherapy drugs function.
  • The sensor uses self-assembled monolayers (SAMs) with different molecular features to create distinct SERS signatures for tracking changes in cells triggered by the drugs.
  • They trained a convolutional neural network on the data collected from the sensor, achieving 99% accuracy, which could enhance drug screening and help speed up the drug development process.
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Objectives: Viruses have been considered as important participants in the development of rheumatoid arthritis (RA). However, the profile of enteric virome and its role in RA remains elusive. This study aimed to investigate the atlas and involvement of virome in RA pathogenesis.

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Adenosine-to-inosine (A-to-I) RNA editing is an important post-transcriptional modification mediated by the adenosine deaminases acting on RNA (ADAR) family of enzymes, expanding the transcriptome by altering selected nucleotides A to I in RNA molecules. Recently, A-to-I editing has been explored for correcting disease-causing mutations in RNA using therapeutic guide oligonucleotides to direct ADAR editing at specific sites. Humans have two active ADARs whose preferences and specificities are not well understood.

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Current in vitro models struggle to balance the complexity of human diseases with suitability for large-scale drug tests. While 3D cultures simulate human tissues, they lack cellular intricacy, and integrating these models with high-throughput drug screening remains a challenge. Here, we introduce a method that uses self-assembling nucleic acid nanostructures decorated living cells, termed NACs, to create spheroids with a customizable 3D layout.

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Biological systems often rely on topological transformation to reconfigure connectivity between nodes to guide the flux of molecular information. Here we develop a topology-programmed DNA origami system that encodes signal propagation at the nanoscale, analogous to topologically efficient information processing in cellular systems. We present a systematic molecular implementation of topological operations involving 'glue-cut' processes that can prompt global conformational change of DNA origami structures, with demonstrated major topological properties including genus, number of boundary components and orientability.

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Article Synopsis
  • * A combined experimental and numerical method was developed, utilizing high-speed digital image correlation and infrared cameras to analyze temperature changes in relation to mechanical stress and strain.
  • * The study effectively applied a unified semi-crystalline polymer model to examine stress-strain relationships and the impacts of strain rate and temperature, leading to insights that can enhance the practical use of polyolefin blends in various applications.
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Diabetes mellitus and its associated secondary complications have become a pressing global healthcare issue. The current integrated theranostic plan involves a glucometer-tandem pump. However, external condition-responsive insulin delivery systems utilizing rigid glucose sensors pose challenges in on-demand, long-term insulin administration.

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Background: Crohn's disease (CD) is a disease characterized by intestinal immune dysfunction, often accompanied by metabolic abnormalities. Disturbances in lactate metabolism have been found in the intestine of patients with CD, but studies on the role of lactate and related Lactylation in the pathogenesis of CD are still unknown.

Methods: We identified the core genes associated with Lactylation by downloading and merging three CD-related datasets (GSE16879, GSE75214, and GSE112366) from the GEO database, and analyzed the functions associated with the hub genes and the correlation between their expression levels and immune infiltration through comprehensive analysis.

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In this work, we present an array-based chemical nose sensor that utilizes a set of ensemble-modified aptamer (EMAmer) probes to sense subtle physicochemical changes on the cell surface for cancer cell identification. The EMAmer probes are engineered by domain-selective incorporation of different types and/or copies of positively charged functional groups into DNA scaffolds, and their differential interactions with cancer cells can be transduced through competitive adsorption of fluorophore-labeled EMAmer probes loaded on MoS nanosheets. We demonstrate that this MoS-EMAmer-based sensor array enables rapid and effective discrimination among six types of cancer cells and their mixtures with a concentration of 10 cells within 60 min, achieving a 94.

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Aberrant DNA methylation is closely associated with various diseases, particularly cancer, and its precise detection plays an essential role in disease diagnosis and monitoring. In this study, we present a novel DNA methylation detection method (namely meHOLMES), which integrates both the TET2/APOBEC-mediated cytosine deamination step and the CRISPR-Cas12a-based signal readout step. TET2/APOBEC efficiently converts unmethylated cytosine to uracil, which is subsequently changed to thymine after PCR amplification.

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Cancer immunotherapies have achieved unprecedented success in clinic, but they remain largely ineffective in some major types of cancer, such as colorectal cancer with microsatellite stability (MSS CRC). It is therefore important to study tumor microenvironment of resistant cancers for developing new intervention strategies. In this study, we identify a metabolic cue that determines the unique immune landscape of MSS CRC.

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Regulatory T (T) cells play an essential role in maintaining immune balance across various physiological and pathological conditions. However, the mechanisms underlying T homeostasis remain incompletely understood. Here, we report that RIPK1 is crucial for T cell survival and homeostasis.

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