9 research outputs found

    PTBP1介导长链非编码RNA RP11-879F14.2发挥抑制心肌纤维化的作用

    Get PDF
    目的研究长链非编码RNA(lncRNA)RP11-879F14.2调控心肌成纤维细胞纤维化表型的作用及机制。方法对心衰患者及健康对照者心肌组织进行Masson染色检测心肌胶原水平。lncRNA表达谱芯片检测心衰患者及健康对照者心肌中lncRNAs的表达变化,实时定量荧光PCR(RT-qPCR)验证RP11-879F14.2在心衰患者心肌中的表达。利用重组RP11-879F14.2腺病毒(rAd-RP11-879F14.2)感染人心房肌成纤维细胞(HAFs),检测纤维化相关基因Col1a1,Col3a1和Acta2表达。RT-qPCR检测HAFs的核/质组分中RP11-879F14.2的水平。基于生物信息学预测和双荧光素酶报告基因实验鉴定RP11-879F14.2与多聚嘧啶区结合蛋白(PTBP1)的结合作用。检测敲低HAFs中PTBP1表达对RP11-879F14.2调控心肌纤维化相关基因表达的影响。结果Masson染色结果显示,心衰病人心肌组织发生明显纤维化。RT-qPCR结果证实RP11-879F14.2在心衰患者心肌组织中表达增加(P<0.01)。过表达RP11-879F14.2可在RNA及蛋白水平显著抑制心肌纤维化相关基因表达。核质分离及RT-qPCR检测结果证实RP11-879F14.2 主要分布于细胞核中。RP11-879F14.2可与PTBP1结合,并促进HAFs中PTBP1表达,而敲低PTBP1可逆转RP11-879F14.2抑制HAFs中纤维化相关基因表达的作用。结论PTBP1可介导RP11-879F14.2发挥抑制心肌纤维化的作用

    基于扩散模型数据增广的域泛化方法

    No full text
    域泛化是计算机视觉领域中一个重要且具有挑战性的问题,该问题源于现实场景中的数据分布偏移。在实际应用中,通常会遇到训练数据和测试数据来自不同的数据域的情况,这种数据分布的差异会导致测试时准确率下降。因此,提出了一种基于隐空间数据增广的域泛化方法,与传统图像级数据增广方法不同,该方法在隐空间中引入扩散模型,以实现对特征的精细控制和多样性生成,从而提升模型在目标域上的泛化能力。具体来说,基于分类器的隐式扩散模型在隐空间训练后可以条件生成准确且丰富的源域特征,并利用高效的采样方法加速生成增广特征。实验结果表明,新提出的方法在各种域泛化任务上取得了显著的性能提升,在真实场景中有较好的有效性和鲁棒性。该方法的创新点在于将数据增广焦点转移到隐空间级别,并引入扩散模型进行增广,为解决域泛化问题提供了一种新的思路

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

    No full text

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

    No full text

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

    No full text
    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

    No full text
    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^
    corecore