枸杞SWEET基因家族鉴定及其与可溶性糖含量关系

【目的】糖外排转运蛋白(sugars will eventually be exported transporters,SWEETs)在植物生长发育过程中发挥重要作用,解析SWEETs基因在枸杞果实发育过程中对糖积累作用,为进一步揭示SWEETs基因在枸杞果实发育过程中的作用提供参考。【方法】用生物信息学方法对枸杞SWEET基因(LbaSWEETs)进行全基因组鉴定,并用已发表的转录数据分析LbaSWEETs在果实发育时期的基因表达情况。【结果】枸杞SWEET基因家族共有37个成员,随机分布于10条染色体上,分别编码152~621个氨基酸,蛋白质分子质量为16.87~69.97 kD,等电点为4.96~9.86。亚细胞定位预测位于叶绿体或质膜,大多数含有7个跨膜螺旋。系统进化分析发现,37个LbaSWEETs蛋白可分为4个亚群,每个亚群的基因结构和保守基序组成相似。启动子元件分析表明:Lba-SWEETs基因启动子富含大量激素响应、逆境胁迫和生长发育响应元件。转录组数据和qRT-PCR分析表明:LbaSWEET9和LbaSWEET29基因表达量随果实成熟呈现显著增加。相关性分析结果表明,LbaSWEET9和LbaSWEET29基因表达量与果糖含量呈显著正相关。【结论】LbaSWEET9和LbaSWEET29基因是果糖积累的关键基因。

基于转录组信息的百合SWEET基因家族鉴定及表达特性分析

以东方百合品种‘西伯利亚’为试材,采用生物信息学方法,研究了百合SWEET基因家族成员编码蛋白的理化性质、二级结构、系统进化、保守结构域、Motif及基因表达模式,对百合SWEET基因家族成员进行鉴定,探究其在鳞茎发育过程中的作用,以期为该类基因生物学功能和百合地下茎生鳞茎发育机制的研究提供参考依据。结果表明:从转录组数据鉴定到了12个SWEET基因,所有家族成员都为稳定的疏水蛋白,且均含有MtN3_slv结构域,可划分为4个亚家族,不同成员在百合茎生鳞茎形成和进一步发育中差异表达。

人LIGHT和HSV-TK-EGFP基因共转染的MSCs抗肿瘤免疫的体内研究

目的研究与单纯疱疹病毒的糖蛋白D竞争结合单纯疱疹病毒进入介导物(herpes virus entry mediator,HVEM)的淋巴毒素类似物(homologous to lymphotoxins,exhibits inducible expression,and competes with HSV glycoprotein D for HVEM,a receptor expressed by T lymphocytes,LIGHT)基因和单纯疱疹病毒胸苷激酶(herpes simplex virus thymidine kinase,HSV-TK)基因共转染的骨髓间充质干细胞(mesenchymal stem cells,MSCs)在体内的抗肿瘤免疫功能。方法将pIRES2-LIGHT基因和HSV-TK-EGFP基因共转染小鼠骨髓间充质干细胞(MSCs/LT组),以转染空载体和转染HSV-TK-EGFP基因的骨髓间充质干细胞作对照。流式细胞仪检测LIGHT分子和HSV-TK-EGFP分子在稳定转染的骨髓间充质干细胞上的表达。体内迁移实验观察MSCs/LT在小鼠体内迁移情况。观察更昔洛韦注射前后MSCs/LT对荷瘤小鼠体内肿瘤的治疗作用。ELISA法检测小鼠肿瘤组织中IFN-γ,IL-2和IL-10的水平。结果流式细胞仪检测发现,MSCs/LT能稳定高表达LIGHT分子。MSCs/LT有特异地向肿瘤组织趋化的特性。MSCs/LT和MSCs/T有较好的抑制肿瘤生长的能力,但在更昔洛韦诱导后,MSCs/LT的抗肿瘤效应下降甚至消失。同时,MSCs/LT可促使T细胞进入肿瘤组织,并促进T细胞分泌IL-2、IFN-γ,抑制IL-10分泌(P<0.05)。结论共转染人LIGHT和HSV-TK-EGFP基因的骨髓间充质干细胞能稳定高表达LIGHT分子,能特异性地向荷瘤小鼠体内肿瘤组织趋化并抑制肿瘤的生长,这种体内抗肿瘤功能可能与促进T淋巴细胞IL-2、IFN-γ等细胞因子的分泌,改善局部免疫抑制环境有关。

中药辨证治疗Sweet综合征1例报道并文献复习

Sweet综合征又名急性发热性中性粒细胞增多性皮病,是一种与许多不同的基础疾病相关的皮肤病。其主要临床表现为发热、疼痛性红色斑块或结节,外周血白细胞和中性粒细胞增多,组织病理学特点为真皮中大量中性粒细胞浸润[1]。本病发病机制尚不明确,慢性感染和恶性肿瘤是最常见的发病诱因,临床表现差异很大,容易误诊,组织病理是诊断Sweet综合征的可靠依据。现报道1例以中药方剂内服为主治疗有干燥综合征基础合并Sweet综合征患者的过程并进行文献复习。

联合化疗治疗原发性胃弥漫大B细胞淋巴瘤合并Sweet综合征1例并文献复习

非霍奇金淋巴瘤(non-Hodgkin lymphoma,NHL)是临床常见的肿瘤类型,临床表现多样,确诊依赖组织活检,根据病灶起源可以分为结内和结外淋巴瘤。原发性胃肠淋巴瘤是结外淋巴瘤的常见部位,可以累及胃、小肠、结肠等,其中约50%~60%发生在胃部,病理类型以黏膜相关淋巴组织淋巴瘤和弥漫大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)为主[1~3]。

猕猴桃AcSWEET基因家族的鉴定与表达分析

SWEET(Sugars will eventually be exported transporters)是近年来在植物中发现的一组糖转运蛋白,在植物生长、发育和非生物及生物胁迫响应等多种生理过程中发挥着重要作用。本研究利用生物信息学方法对猕猴桃(Actinidia chinensis Planch.)AcSWEET基因家族进行了鉴定,共获得29个AcSWEET基因,并对其氨基酸数量、相对分子量、等电点、不稳定系数、亚细胞定位、亲水指数进行了分析。结果显示:29个基因编码的氨基酸数目为680~906个;分子量范围为7.531~101.266 kDa,等电点在6.95~9.90,多数蛋白为定位于细胞膜的疏水性蛋白,具有1~2个MtN3结构域或PQ-loop结构域。此外,AcSWEET基因的外显子数量在4~6个,系统进化分析结果表明猕猴桃AcSWEET基因家族被分为4个亚族,同一亚族基因具有相似的内含子、外显子以及保守基序。表达模式分析结果表明,这些基因在果实不同发育时期具有表达特异性。推测AcSWEET26、AcSWEET7、AcSWEET15和AcSWEET13可能参与猕猴桃的蔗糖转运和积累。

植物SWEET基因及其糖转运功能研究进展

SWEET(sugars will eventually be exported transporter)是一类介导蔗糖或己糖通过顺浓度梯度被动扩散跨细胞膜转运的新型糖转运蛋白。植物SWEET蛋白包括7个跨膜结构域,其中包含2个MtN3/Saliva结构域,可分为4个进化分支。SWEET转运蛋白在多种生理和生化过程中发挥着关键作用,包括韧皮部装载、激素运输、营养和生殖生长等。结合当前SWEET转运蛋白的研究进展,重点总结了SWEET的发现、蛋白结构及其在糖转运中的生物学功能,指出目前植物SWEET基因研究面临的问题,并对未来SWEET蛋白的研究重点进行了展望:1)探究SWEET蛋白的底物识别机制;2)挖掘提高作物产量和品质的关键SWEET基因;3)利用SWEET基因编辑和磷酸化等策略改良作物产量和品质。

滇水金凤花蜜相关SWEET7和SWEET16的克隆及表达分析

植物SWEET(Sugars will eventually be exported transporter)基因家族是一类重要的糖转运蛋白,参与开花植物的花蜜合成。本研究以野生型和突变型滇水金凤(Impatiens uliginosa)为材料,基于课题组前期的花距转录组数据,通过筛选和RT-PCR技术克隆得到花蜜相关基因SWEET7和SWEET16,分别命名为IuSWEET7和IuSWEET16,其cDNA分别为741 bp和903 bp,分别编码246和300个氨基酸。生物信息学分析表明:IuSWEET7为疏水性不稳定蛋白,IuSWEET16为疏水性稳定蛋白,二者均含有2个典型的MtN3/saliv保守结构域;IuSWEET7和IuSWEET16基因的氨基酸序列与杜鹃花(KAG5539487.1)、一串红(XP_042052415.1)等植物同源序列的相似性均在54.15%~71.48%;系统进化分析表明,IuSWEET7和IuSWEET16处于两个不同分支。qRT-PCR分析表明两个基因在野生型和突变型滇水金凤花距的3个时期中均有表达,且在不同部位中表达模式不同。其中IuSWEET7基因在野生型滇水金凤中其表达量从花苞期至盛花期逐渐上升;在突变型2距和3距中其表达量从花苞期至盛花期先上升后下降,且在始花期表达量最高;而IuSWEET16基因在野生型和突变型3距中其表达量从花苞期至盛花期均逐渐上升,但在突变型2距中其表达量从花苞期至盛花期先上升后下降,也在始花期时达到最高。

Sweet综合征的发病机制及治疗进展

Sweet综合征(Sweet syndrome, SS)是一种病因不明的炎症性嗜中性皮肤病,与感染、药物、肿瘤及自身免疫性疾病等相关。发病机制涉及中性粒细胞功能障碍、免疫失衡及遗传因素等。传统一线治疗首选系统应用糖皮质激素。近年来随着SS的研究取得一定进展,生物制剂及小分子靶向药物也有成功治疗SS的报道。本文就SS的发病机制及治疗进展作一综述。

Sweet综合征口腔黏膜表现1例报道及文献回顾

目的探讨Sweet综合征的口腔黏膜病损表现,为临床早发现并正确诊断该病提供参考。方法报道1例60岁女性Sweet综合征患者的口腔黏膜病损表现,并结合相关文献对Sweet综合征进行分析。结果患者双下肢皮肤红斑伴口腔黏膜破溃疼痛3 d,患者皮损症状较轻,但口腔黏膜多发性大面积糜烂,疼痛明显,故首诊于口腔科。患者发病过程中伴有发烧,体温38.5℃;实验室检查示C反应蛋白升高(35.2 mg/L),血沉加快(77.00 mm/h);患者两侧膝盖及下肢可见散在分布红色斑块,轻度压痛,皮损组织病理学检查示:真皮全层见散在不成熟中性粒细胞聚集灶浸润。根据患者临床体征和实验室检查,皮损组织病理结果的镜下符合Sweet综合征的表现,诊断为Sweet综合征。给予患者1 mL复方倍他米松注射液肌肉注射仅1次;患者对糖皮质激素治疗效果反应良好;口腔采用复方氯己定溶液含漱,病损黏膜处重组牛碱性成纤维细胞生长因子溶液外用,3次/d,疗程为1周;用药4 d后复诊,体温恢复正常,口腔病损明显减轻;2周后复诊,小腿及膝盖处红斑几乎全部消退,口腔黏膜病损基本消失;半年后随访,结果显示皮损未复发;2年后随访,病情稳定,病损未见复发。回顾相关文献表明,Sweet综合征是一种少见的病因不明的炎性反应性皮病,临床上可分为3种类型:特发型、肿瘤相关型以及药物诱导型,男女患病比为1∶4,典型临床表现为急性出现的疼痛性红色斑块或结节,病损多位于四肢,常伴发热,外周血中性粒细胞数目增多,血沉加快,C反应蛋白阳性。系统应用糖皮质激素是本病最重要的治疗方法,大多数患者可在短期内改善皮损,但可能会存在潜在感染或停药后复发的情况。部分Sweet综合征患者可伴有口腔病损,但目前有关Sweet综合征在口腔黏膜表现的病例报道却很少,使得临床容易误诊。结论口腔黏膜病损可能为Sweet综合征的皮肤外表现,应综合考虑患者的全身情况,尽快完善皮肤活检以明确诊断,以免延误病情。

油茶SWEET基因家族的全基因组鉴定及表达分析

【目的】挖掘参与油茶糖代谢及逆境响应的糖外排转运子(sugars will eventually be exported transporters,SWEETs)。【方法】利用生物信息学方法分析油茶SWEETs家族的基因结构、蛋白基序、染色体定位、共线性关系、启动子区顺式作用元件及上游调控因子等,并利用RT-qPCR分析CoSWEETs在不同时期、不同组织及不同逆境胁迫下的基因表达情况。【结果】从油茶中鉴定得到14个CoSWEETs基因,不均匀分布于10条染色体上,不同成员间内含子-外显子数目存在差异。根据系统进化关系,14个CoSWEETs可分为 4个分支,均具有1-2个MtN3 保守结构域,同一分支具有相似的基因结构和基序。根据启动子顺式作用元件和上游转录因子预测的分析结果,CoSWEETs启动子中含有多个与生长发育、植物激素和应激相关的调节元件,其表达可能受到ERF、DOF、BBR-BPC、MYB等转录因子的调控。RT-qPCR分析表明大部分CoSWEETs成员在果实和根中高表达,在种子中的表达水平与发育时期相关,并根据低温、高盐和干旱等非生物胁迫下CoSWEETs的表达模式挖掘出CoSWEET1、CoSWEET2、CoSWEET17等响应油茶低温、干旱或高盐胁迫的基因。【结论】CoSWEET基因的表达受到多种激素及转录因子调控,并在油茶种子发育与逆境胁迫响应中发挥重要作用。

基于CEEMDAN-VMD-TCN-lightGBM模型的水质预测研究

针对目前水质预测模型中因为数据本身的复杂性、在信号处理过程中存在的噪声干扰以及分解深度不够导致单一分解难以全面捕捉信号非线性特征的问题,提出了一种基于二次分解的水质预测模型。该模型采用完全自适应噪声集合经验模态分解(CEEMDAN)对原始数据进行分解,再利用变分模态分解(VMD)对熵值最高的模态分量进行二次分解,最终将处理后的时间序列输入到TCN-lightGBM多特征预测模型中。同时,采用麻雀算法(SSA)对预测模型进行优化。以山东省玉符河水质为例,本模型的均方根误差(RMSE)是0.1053,平均绝对误差(MAE)是0.0815,决定系数(R2)是0.9471,与GRU、LSTM、LightGBM、TCN等当下较为流行的模型的预测指标进行比较。结果显示,在R2上本模型提升了53.04%、70.41%、66.07%、65.20%等,在RMSE上减少了62.76%、65.50%、64.93%、64.80%等,在MAE上降低了62.76%、66.24%、63.80%、65.24%等。由此可知,基于CEEMDAN-VMD-TCN-lightGBM的模型具有更好的预测性能、泛化能力和捕捉信号非线性特征的能力。

基于改进GWO-LightGBM的磨煤机故障预警方法研究

为提高燃煤电厂磨煤机运维效率、降低运维成本,对磨煤机故障预警进行了研究。创新性地提出一种基于改进灰狼优化(GWO)算法的轻量级梯度提升机(LightGBM)故障预警方法。通过建立LightGBM轴承温度预测模型获取磨煤机轴承温度阈值,并引入改进GWO算法优化模型超参数,以提高算法效率和性能。试验结果表明,改进GWO-LightGBM算法相比支持向量机(SVM)等传统算法具有更高的精度和更优的泛化能力。通过实际故障案例证明,该方法能够提前2 h对磨煤机进行早期故障预警。该方法对燃煤电厂磨煤机安全运维具有指导意义。

Public health importance of light intensity physical activity

1.Light intensity physical activity(PA)benefits health PA guidelines worldwide recommend that adults accumulate 150 min of moderate intensity or 75 min of vigorous intensity PA(moderate-to-vigorous PA(MVPA))weekly to achieve health benefits.1-3 Absent from these guidelines are recommendations for light intensity PA(LPA,e.g.,walking at a leisurely pace of 3 km/h or less,equivalent to 1.5-2.9 metabolic equivalents).

Effects of thinning on the understory light environment of different stands and the photosynthetic performance and growth of the reforestation species Phoebe bournei

Light levels determine regeneration in stands and a key concern is how to regulate the light environment of different stand types to the requirements of the understory.In this study,we selected three stands typical in south China(a Cryptomeria japonica plantation,a Quercus acutissima plantation,and a mixed stand of both)and three thinning intensities to determine the best understory light environ-ment for 3-year-old Phoebe bournei seedlings.The canopy structure,understory light environment,and photosynthe-sis and growth indicators were assessed following thin-ning.Thinning improved canopy structure and understory light availability of each stand;species composition was the reason for differences in the understory light environ-ment.Under the same thinning intensity,the mixed stand had the greatest light radiation and most balanced spectral composition.P.bournei photosynthesis and growth were closely related to the light environment;all three stands required heavy thinning to create an effective and sustained understory light environment.In a suitable understory light environment,the efficiency of light interception,absorption,and use by seedlings was enhanced,resulting in a higher carbon assimilation the main limiting factor was stomatal conductance.As a shade-avoidance signal,red/far-red radia-tion is a critical factor driving changes in photosynthesis and growth of P.bournei seedlings,and a reduction increased light absorption and use capacity and height:diameter ratios.The growth advantage transformed from diameter to height,enabling seedlings to access more light.Our findings suggest that the regeneration of shade-tolerant species such as P.bournei could be enhanced if a targeted approach to thinning based on stand type was adopted.

Reconstruction of Knowledge and Medical Images in the Convergence of Chinese and Western Medicine:Taking “Sweet Meat” as an Example

The pancreas is neither part of the five Zang organs(五脏) nor the six Fu organs(六腑).Thus,it has received little attention in Chinese medical literature.In the late 19th century,medical missionaries in China started translating and introducing anatomical and physiological knowledge about the pancreas.As for the word pancreas,an early and influential translation was “sweet meat”(甜肉),proposed by Benjamin Hobson(合信).The translation “sweet meat” is not faithful to the original meaning of “pancreas”,but is a term coined by Hobson based on his personal habits,and the word “sweet” appeared by chance.However,in the decades since the term “sweet meat” became popular,Chinese medicine practitioners,such as Tang Zonghai(唐宗海),reinterpreted it by drawing new medical illustrations for “sweet meat” and giving new connotations to the word “sweet”.This discussion and interpretation of “sweet meat” in modern China,particularly among Chinese medicine professionals,is not only a dissemination and interpretation of the knowledge of “pancreas”,but also a construction of knowledge around the term “sweet meat”.

溃疡性结肠炎合并Sweet综合征、玫瑰痤疮1例

患者女,43岁,因“面部反复红斑、丘疹,伴腹痛、腹泻”4年,复发1月,加重4d,于2021年4月第3次入我院。4年前患者因腹痛、腹泻伴面部红斑丘疹于我院住院,诊断“炎性肠病、面部激素依赖性皮炎”。1月前患者面部皮损、腹泻加重再次入院,结合病理检查结果诊断为“溃疡性结肠炎、玫瑰痤疮”。两次住院均使用激素、羟氯喹等治疗,好转后出院,但停药后病情反复。本次因面颈部、双上肢出现红色疼痛性斑块入院。结合病理检查结果诊断sweet综合征,予以甲泼尼龙40mg,皮损逐渐消退。

Model prediction of inactivation of Aeromonas salmonicida grown on poultry in situ by intense pulsed light

The aim of this study was to evaluate the factors influencing the inactivation effect of intense pulsed light(IPL)on Aeromonas salmonicida grown on chicken meat and skin,and to further develop prediction models of inactivation.In this work,chicken meat and skin inoculated with meat-borne A.salmonicida isolates were subjected to IPL treatments under different conditions.The results showed that IPL had obvious bactericidal effect in the chicken skin and thickness groups when the treatment voltage and time were 7 V combined with 5 s.In addition,the lethality curves of A.salmonicida were fitted under IPL conditions of 3.5-7.5 V.The comparison of statistical parameters revealed that the Weibull model could best fit the mortality curves and could accurately predict the mortality dynamic of A.salmonicida grown on chicken skin.And further a secondary model between the scale factor b and the treatment voltage in Weibull model was established using linear equations,which determined that the secondary model could accurately predict the inactivation of A.salmonicida.This study provides a theoretical basis for future prediction models of Aeromonas,and also provides new ideas for sterilization approaches of meat-borne Aeromonas.

基于LightGBM的智能可穿戴设备用户行为预测

智能可穿戴设备产生的大量数据是人类宝贵的数字资源。使用开放数据集和主流数据分析工具,如可进行快速模型开发的PyCaret模块,有助于人们进行数据挖掘工作,且不被细节所困扰。作为Kaggle竞赛爱好者的常用工具,LightGBM分类器对用户行为的预测表现优异,对此文中的研究结果也得到验证。

CAEFusion: A New Convolutional Autoencoder-Based Infrared and Visible Light Image Fusion Algorithm

To address the issues of incomplete information,blurred details,loss of details,and insufficient contrast in infrared and visible image fusion,an image fusion algorithm based on a convolutional autoencoder is proposed.The region attention module is meant to extract the background feature map based on the distinct properties of the background feature map and the detail feature map.A multi-scale convolution attention module is suggested to enhance the communication of feature information.At the same time,the feature transformation module is introduced to learn more robust feature representations,aiming to preserve the integrity of image information.This study uses three available datasets from TNO,FLIR,and NIR to perform thorough quantitative and qualitative trials with five additional algorithms.The methods are assessed based on four indicators:information entropy(EN),standard deviation(SD),spatial frequency(SF),and average gradient(AG).Object detection experiments were done on the M3FD dataset to further verify the algorithm’s performance in comparison with five other algorithms.The algorithm’s accuracy was evaluated using the mean average precision at a threshold of 0.5(mAP@0.5)index.Comprehensive experimental findings show that CAEFusion performs well in subjective visual and objective evaluation criteria and has promising potential in downstream object detection tasks.