海蜇Frizzled1基因的克隆及在无性繁殖中的表达

采用RACE技术解析了海蜇(Rhopilema esculentum)Frizzled1基因的cDNA和基因组结构:Re-Fzd1基因的全长cDNA为2387 bp,其中编码区为1761bp,编码586个氨基酸的多肽。SMART分析表明,Re-Fzd1基因具备Fzd家族共同的结构特征,包括:一个由23个氨基酸组成的信号肽,一个位于N-末端富含10个保守半胱氨酸残基的半胱氨酸富集域(CRD),一个含有7个跨膜片段的跨膜结构域,以及一个含有5个重要的磷酸化位点的C端尾巴。多序列比对表明,Re-Fzd1基因与刺胞动物贝螅(Hydra echinata)、水螅(Hydra vulgaris)、半球美螅水母(Clytia hemisphaerica)和海葵(Nematostella vectensis)Fzd1具有高度相似性,与来自脊椎动物人(Homo sapiens)、鼠(Mus musculus)、爪蟾(Xenopus laevis)和斑马鱼(Danio rerio)的Fzd1、Fzd2和Fzd7家族基因也具有较高的同源性。基于N-J法,将人、鼠、爪蟾、斑马鱼和果蝇(Drosophila melanogaster)所有Fzd家族基因系统进化分析显示,除果蝇外,所有Fzd家族成员聚类成4个类群,11个亚家族,海蜇Re-Fzd1基因首先与刺胞动物门的Fzd1聚类在一起,然后与脊椎动物Fzd1、Fzd2和Fzd7三个家族聚成一个类群,表明脊椎动物Fzd1、Fzd2和Fzd7家族可能与刺胞动物门的Fzd1起源于同一个共同祖先。Re-Fzd1基因组序列中不含有内含子。实时荧光定量PCR结果显示,Re-Fzd1基因在海蜇无性繁殖的4个发育阶段均有表达,其中,表达量最高的横裂体阶段是表达量最低的稚水母阶段的3.67倍。整体原位杂交显示,在海蜇横裂体时期,Re-Fzd1原位表达在触手、基座及发生横裂的部位。这些结果都表明,Re-Fzd1不但参与了海蜇的早期发育过程,还调控了海蜇无性繁殖的发生。国家自然科学基金项目(31372507);;鳌山科技创新计划项目(2016ASKJ02);;中央级公益性科研院所基本科研业务费专项资金项目(20603022016001

Nutrition support and nursing management for a patient with pressure injury (1例压力性损伤患者的营养干预及护理体会)

This paper summarized the nutrition support and nursing management for a patient with unstageable pressure injuries. Based on the assessment of wound condition, pain and nutrition, appropriate nutrition support combined with nursing interventions such as debridement and wound dressing change, Traditional Chinese Medicine nursing, pain management, in order to improve the wound healing. (本文总结1例不可分期压力性损伤患者的营养干预及相关护理技术。在完善伤口评估、疼痛评估和营养评估的基础上, 通过开展适宜的营养干预方案, 同时配合清创换药、中医护理技术、疼痛护理等干预措施, 促进压力性损伤伤口愈合。

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

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