Publications by authors named "Pei Xin"

RNA methylation is an important regulatory process to determine immune cell function but how it affects the anti-tumor activity of CD8 T cells is not fully understood. Here we show that the N-methyladenosine (mA) RNA reader YTHDF2 is highly expressed in early effector or effector-like CD8 T cells. We find that YTHDF2 facilitates nascent RNA synthesis, and mA recognition is fundamental for this distinctively nuclear function of the protein, which also reinforces its autoregulation at the RNA level.

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Collisions of the transcription and replication machineries on the same DNA strand can pose a significant threat to genomic stability. These collisions occur in part due to the formation of RNA-DNA hybrids termed R-loops, in which a newly transcribed RNA molecule hybridizes with the DNA template strand. This study investigated the role of RAD52, a known DNA repair factor, in preventing collisions by directing R-loop formation and resolution.

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  • Pathogenic mutations in the BRCA1 and BRCA2 genes are linked to several types of hereditary cancer, but inactivating both copies (bBRCA1/2) can be lethal in embryos and reduce cell growth.
  • Researchers identified specific genetic changes commonly found in bBRCA1/2 tumors that could boost cell proliferation and studied them through various analytical methods, including examining mutation patterns in databases.
  • In their results, they discovered that bBRCA1/2 tumors often showed large genomic deletions, identified genes that influenced cell growth, and validated some candidate genes (like RIC8A) as crucial for tumor viability despite the loss of BRCA1 and BRCA2.
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Purpose: The importance of the DNA damage response in mediating effects of radiotherapy (RT) has galvanized efforts to target this pathway with radiosensitizers. Yet early clinical trials of this approach have failed to yield a benefit in unselected populations. We hypothesized that ataxia-telangiectasia mutated (Atm)-null tumors would demonstrate genotype-specific synergy between RT and an inhibitor of the DNA damage response protein ataxia-telangiectasia and Rad3-related (ATR) kinase.

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  • A new AI model was developed for diagnosing invasive lobular carcinoma (ILC) in breast cancer, using CDH1 biallelic mutations as a reliable genetic ground truth instead of subjective histologic features.
  • The model demonstrated high accuracy in predicting these mutations (95%) and diagnosing ILC (96%), with additional insights into other mechanisms of CDH1 inactivation found in some samples.
  • Validation across various patient cohorts supported the model's effectiveness (accuracy of 0.95 and 0.89), showcasing the potential of using genetic data to improve AI diagnostics in pathology.
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The presence of soil-borne disease obstacles and antibiotic resistance genes (ARGs) in soil leads to serious economic losses and health risks to humans. One area in need of attention is the evolution of ARGs as pathogenic soil gradually develops, which introduces uncertainty to the dynamic ability of conventional farming models to predict ARGs. Here, we investigated variations in tomato bacterial wilt disease accompanied by the resistome by metagenomic analysis in soils over 13 seasons of monoculture.

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The contact resistance formed between MoS and metal electrodes plays a key role in MoS-based electronic devices. The Schottky barrier height (SBH) is a crucial parameter for determining the contact resistance. However, the SBH is difficult to modulate because of the strong Fermi-level pinning (FLP) at MoS-metal interfaces.

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Purpose: Homologous recombination deficient (HRD) tumors are exquisitely sensitive to platinum-based chemotherapy and when combined with radiation therapy (RT), leads to improved overall survival in multiple cancer types. Whether a subset of tumors with distinct molecular characteristics demonstrate increased benefit from cisplatin and RT (c-RT) is unclear. We hypothesized that HRD tumors, whether associated with BRCA mutations or genomic scars of HRD, exhibit exquisite sensitivity to c-RT, and that HRD may be a significant driver of c-RT benefit.

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Acquired genetic alterations commonly drive resistance to endocrine and targeted therapies in metastatic breast cancer , however the underlying processes engendering these diverse alterations are largely uncharacterized. To identify the mutational processes operant in breast cancer and their impact on clinical outcomes, we utilized a well-annotated cohort of 3,880 patient samples with paired tumor-normal sequencing data. The mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) enzymes were highly prevalent and enriched in post-treatment compared to treatment-naïve hormone receptor-positive (HR+) cancers.

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Background: Monitoring of long-haul truck driver fatigue state has attracted considerable interest. Conventional fatigue driving detection methods based on the physiological and visual features are scarcely applicable, due to the intrusiveness, reliability, and cost-effectiveness concerns.

Methods: We elaborately developed a fatigue driving detection method by fusion of non-visual features derived from the customized wristbands, vehicle-mounted equipment, and trip logs.

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The acidic metabolic byproducts within the tumor microenvironment (TME) hinder T cell effector functions. However, their effects on T cell infiltration remain largely unexplored. Leveraging the comprehensive The Cancer Genome Atlas dataset, we pinpoint 16 genes that correlate with extracellular acidification and establish a metric known as the "tumor acidity (TuAci) score" for individual patients.

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In this paper, with the method of epidemic dynamics, we assess the spread and prevalence of COVID-19 after the policy adjustment of prevention and control measure in December 2022 in Taiyuan City in China, and estimate the excess population deaths caused by COVID-19. Based on the transmission mechanism of COVID-19 among individuals, a dynamic model with heterogeneous contacts is established to describe the change of control measures and the population's social behavior in Taiyuan city. The model is verified and simulated by basing on reported case data from November 8th to December 5th, 2022 in Taiyuan city and the statistical data of the questionnaire survey from December 1st to 23rd, 2022 in Neijiang city.

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In this paper, we present a robust method for nonisotropic point light source calibration through feature points selection. By analyzing the relationship between the observed surface and its image intensity under near-field lighting, the feature points selection method is first developed to effectively address the noisy observations and improve calibration robustness. Afterward, to enhance efficiency and accuracy of the calibration, a cost function of -norm is established based on the above relationship, and an improved Newton method-based iteration process is applied to calculate the light source parameters.

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Wastewater is a multicomponent and multiphase mixture. Gas bubbles and solid particles in the dispersed phase influence sonochemical efficiency during ultrasonic treatment of wastewater, sometimes unfavorably; however, the influencing factors and mechanisms remain unclear. In this paper, the influence of argon gas bubbles (1.

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  • * A rabies transmission model was created to assess whether China can meet the elimination goal by 2030, and recent findings indicate that while rabies control has improved, complete elimination of cases isn't feasible under current circumstances.
  • * To improve rabies control, recommendations include increasing immunization coverage for rural dogs to 50-60%, managing stray dog populations, and maintaining prevention measures for 18 years post-elimination to ensure long-term success.
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  • The study aimed to investigate the genetic factors behind pancreatic acinar cell carcinoma (PACC) and analyze its genomic characteristics among a large cohort of cancer patients.
  • Researchers performed both somatic and germline genetic analyses on 28,780 patients, finding that 36.7% of PACC cases had germline mutations in DNA repair genes, highlighting a higher prevalence in PACC compared to other cancers like pancreatic adenocarcinoma and breast cancer.
  • The findings indicate that PACC has unique genomic traits related to homologous recombination deficiency, suggesting it could be categorized within a specific spectrum of cancers based on its genetic profile.
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  • Recurrent and metastatic head and neck squamous cell carcinoma (HNSCC) has poor survival rates and limited effectiveness of immune checkpoint blockade (ICB) therapies, with current biomarkers like tumor mutational burden (TMB) offering only modest predictive value.
  • A study of 133 ICB-treated patients identified 6 distinct molecular subtypes of HNSCC tumors, which showed varied response rates to treatment and were separately validated in another patient group.
  • Researchers developed a predictive model using clinical and genomic features that more accurately forecasted patient outcomes compared to TMB alone, establishing a tool that can improve risk stratification for patients eligible for ICB treatment.
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  • - Coastal wetlands, like marshes, are crucial for absorbing carbon dioxide (CO) and storing carbon in their soils, helping to combat climate change, but plastic pollution is harming these ecosystems' abilities to act as carbon sinks.
  • - Research in the Yangtze Estuary showed that clean wetlands had significantly higher CO uptake and plant growth compared to polluted ones, which emitted more CO and methane (CH) due to decreased vegetation and altered soil properties.
  • - The study found that polluted marshes had higher heavy metal concentrations that limited plant growth and increased soil porosity, ultimately resulting in increased emissions of greenhouse gases, emphasizing the need for better coastal management to address plastic waste.
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The use of herbicides is believed to have an impact on the metabolism, physiology and biochemistry of fish. In this study, we studied the effects of metamifop on the production and metabolism of Monopterus. albus living in the water.

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  • Normalized interventions in various Chinese cities before December 2022 aimed to control COVID-19, but differences in execution led to varying infection sizes in cities like Xi'an, Zhengzhou, and Yuzhou.
  • A compartmental model was developed to analyze the spread of the virus and assess the effectiveness of these interventions, focusing on their timing and intensity.
  • Key findings indicated that precise tracking of close contacts and frequent testing were crucial for controlling outbreaks, with Zhengzhou showing higher transmission rates compared to Xi'an and Yuzhou.
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Coastal aquifers are vulnerable to seawater intrusion and salinization due to groundwater pumping. Most research on salinization vulnerability and pumping rate optimization considers constant seaside boundary. However, tidal fluctuations may propagate through aquifers and affect pumping-induced seawater intrusion.

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The outbreak of 2019 novel coronavirus pneumonia (COVID-19) has had a profound impact on people's lives around the world, and the spread of COVID-19 between individuals were mainly caused by contact transmission of the social networks. In order to analyze the network transmission of COVID-19, we constructed a case contact network using available contact data of 136 early diagnosed cases in Tianjin. Based on the constructed case contact network, the structural characteristics of the network were first analyzed, and then the centrality of the nodes was analyzed to find the key nodes.

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To achieve an effective phase unwrapping for hue-based fringe projection profilometry, this paper proposes a hue-indexing-based absolute phase retrieval method using a discrete hue sequence. First, the hue component is extracted as the wrapped phase for 3D reconstruction by projecting a programmed hue fringe pattern. Afterward, a hue-indexing sequence with a random combination of six unique hues from the hue map is designed for hue unwrapping.

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Background: Neutrophil percentage to albumin ratio (NPAR) has been shown to be correlated with the prognosis of various diseases. This study aimed to explore the effect of NPAR on the prognosis of patients in coronary care units (CCU).

Method: All data in this study were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III, version1.

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Transcending the binary categorization of racist texts, our study takes cues from social science theories to develop a multidimensional model for racism detection, namely stigmatization, offensiveness, blame, and exclusion. With the aid of BERT and topic modelling, this categorical detection enables insights into the underlying subtlety of racist discussion on digital platforms during COVID-19. Our study contributes to enriching the scholarly discussion on deviant racist behaviours on social media.

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