Inflammation-related signaling pathways of differently-methylated DNA from benign and malignant thyroid tumors in one patient

目的:研究同一患者体内甲状腺良性瘤与癌组织在dnA甲基化方面的差异,从而揭示dnA甲基化在肿瘤发生发展中的重要作用。方法:使用基因甲基化芯片技术对同一患者的并发甲状腺癌、甲状腺良性瘤组织样本的基因组甲基化水平进行检测,对筛选出的差异化显著的基因进行生物信息学分析得到功能基因的信号通路,并针对与甲状腺癌明显相关的信号通路进行分析讨论。结果:甲状腺的良性瘤与癌在dnA甲基化水平上存在显著差异;参与恶性肿瘤相关的信号通路包括T细胞受体的信号通路,JAk-STAT信号通路与细胞因子-细胞因子受体相互作用信号通路等炎症相关信号通路。结论:研究得出炎症的相关生物信息学通路与甲状腺肿瘤的发生发展密切相关,为甲状腺恶性肿瘤的发生发展机制的阐明与潜在药物靶点的选择提供新的思路与方向。Objective To determine the possible differences in DNA methylation of benign and malignant thyroid tumors and its role in tumorgenesis and tumor progression.Methods Infinium human methylation 450 bead chip platform was utilized to screen the whole-genome of benign and malignant thyroid tumor tissues surgically removed from a patient for the determination of their DNA methylation levels.The genes with significant differences in methylation were analyzed for their functional pathways with bioinformatics.Results There were significant differences in DNA methylation between benign and malignant thyroid tumor.The inflammation-related pathways, such as T cell, Jak-STAT and cytokine-cytokine receptor signaling pathways involved in the biological process of tumorgenesis and tumor progression.Conclusions The differences in DNA methylation between benign and malignant reveal a close relationship between inflammation and tumorgenesis and tumor progression and provide a novel method for investigation of thyroid cancer development and target drug discovery.国家自然科学基金(编号:81272445); 厦门市科技局国家对台科技合作项目(编号:350Z20121153

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^