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利用CRISPR-Cas9基因编辑技术对CSSL37的YSA基因进行定点编辑

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分子植物育种 2018年第6期16卷 1818-1824页

作者：杨德卫郑向华项光海曹源伟程朝平叶宁黄凤凰王皓毅叶新福福建省农业科学院水稻研究所福州350018 中国科学院动物研究所干细胞与生殖生物学国家重点实验室北京100190 中国科学院大学北京100049

水稻是中国乃至世界重要的粮食作物之一,作物染色体片段置换系群体是作物新资源的挖掘、数量遗传研究和杂种优势利用研究的理想工具和材料。CRISPR-Cas9技术是近年发展起来的一种快速基因编辑技术,通过该技术已对多种植物的基因组进行... 详细信息

水稻是中国乃至世界重要的粮食作物之一,作物染色体片段置换系群体是作物新资源的挖掘、数量遗传研究和杂种优势利用研究的理想工具和材料。CRISPR-Cas9技术是近年发展起来的一种快速基因编辑技术,通过该技术已对多种植物的基因组进行了编辑。YSA的突变体ysa,由于在编码区5个碱基的缺失导致白化的性状,ysa在3叶期以前发育出白化叶,之后叶片逐渐变绿,到6叶期完全恢复成正常绿色。本研究利用CRISPR-Cas9技术,构建同时含有2个sg RNA载体,以CSSL37株系为材料,通过对YSA基因进行定向编辑和修饰。结果表明,获得CSSL37株系的转基因苗20株,有18个株系在目标区域内序列均发生变化,其中有2个株系在T0代已经纯合,出现目标性状的表型。该研究为进一步利用基因编辑体系和创制优异的水稻新材料提供了帮助。

关键词：水稻染色体片段置换系(CSSL) 基因编辑新材料

Chinese Society of Clinical Oncology(CSCO):Clinical guidelines for the diagnosis and treatment of pancreatic cancer

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Journal of the National Cancer Center 2022年第4期2卷 205-215页

作者： Jiujie Cui Feng Jiao Qi Li Zheng Wang Deliang Fu Jun Liang Houjie Liang Tingyi Xia Tao Zhang yang Zhang guanghai Dai Zhihong Zhang Jian Wang Yongrui Bai Yuxian Bai Feng Bi Donghui Chen Dan Cao Jie Chen Weijia Fang Yong Gao Jianwei Guo Jihui Hao Haiqing Hua Xinyu Huang Wenchao Liu Xiufeng Liu Da Li Ji Li Enxiao Li Zhiwei Li Hongming Pan Lin Shen Yongwei Sun Min Tao Chengfeng Wang Fenghua Wang Jianping Xiong Taiping Zhang Xuebin Zhang Xianbao Zhan Leizhen Zheng Gang Ren Tingting Zhang Jun Zhou Qingyong Ma Shukui Qin Chunyi Hao Liwei Wang Department of Medical Oncology Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Hepato-Pancreato-Biliary Surgery Peking University Cancer HospitalBeijingChina Department of Medical Oncology Eastern Theater Command General HospitalQinhuai Medical DistrictNanjingChina Department of Hepatobiliary Surgery First Affiliated Hospital of Xi’an Jiaotong UniversityXi’anChina Department of Medical Oncology Shanghai General HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Pancreatic Surgery Huashan HospitalPancreatic Disease InstituteFudan UniversityShanghaiChina Department of Oncology Peking University International HospitalBeijingChina Department of Oncology and Southwest Cancer Center Southwest HospitalThird Military Medical UniversityChongqingChina Beijing Huaxia Jingfang Cancer Radiotherapy Center Former Air Force General Hospital and PLA General HospitalBeijingChina Cancer Center Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina Department of Oncology The Second Affiliated Hospital of Dalian Medical UniversityDalianChina Department of Oncology Chinese PLA General HospitalBeijingChina Department of Pathology The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina Department of Imaging Changzheng HospitalNaval Military Medical UniversityShanghaiChina Department of Radiation Oncology Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Oncology Department of Internal Medicine Harbin Medical University Cancer HospitalHarbinChina Department of Medical Oncology West China HospitalSichuan UniversityChengduChina Department of Pathology Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Medical Oncology The First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouChina Department of Oncology Shanghai East HospitalSchool of Medic

Pancreatic cancer is one of the leading causes of cancer-related mortality in both developed and developing *** incidence of pancreatic cancer in China accounts for about a quater of the global incidence,and the epidemiological characteristics and therapeutic strategies differ due to social,economic,cultural,environmental,and public health ***-domestic guidelines do not reflect the clinicopathologic characteristics and treat-ment patterns of Chinese ***,in 2018,the Chinese Society of Clinical Oncology(CSCO)organized a panel of senior experts from all sub-specialties within the field of pancreatic oncology to compile the Chinese guidelines for the diagnosis and treatment of pancreatic *** guidelines were made based on both the Western and Eastern clinical evidence and updated every one or two *** experts made consensus judg-ments and classified evidence-based recommendations into various grades according to the regional differences,the accessibility of diagnostic and treatment resources,and health economic indexes in *** we present the latest version of the guidelines,which covers the diagnosis,treatment,and follow-up of pancreatic *** guidelines might standardize the diagnosis and treatment of pancreatic cancer in China and will encourage oncologists to design and conduct more clinical trials about pancreatic cancer.

关键词： Pancreatic cancer Chinese society of clinical oncology Guidelines China

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功能性蛋的研究进展与展望

粮食与食品工业 2020年第1期27卷 43-47,50页

作者：张敏张海军王晶武书庚杨瑞鹏齐广海中国农业科学院饲料研究所农业部饲料生物技术重点开放实验室生物饲料开发国家工程研究中心中丹Mille功能性蛋及蛋制品联合实验室北京100081 蜜儿乐儿乳业(上海)有限公司上海200050

鸡蛋营养丰富,含有高品质蛋白质、脂质、维生素、矿物质等。科技的进步,使得通过改变饲粮矿物质、维生素、脂肪酸等营养组成,调控禽蛋、开发功能性蛋成为可能。文章综述了部分功能性蛋的研究进展,趋势展望及其面临的问题,以期对功能性... 详细信息

鸡蛋营养丰富,含有高品质蛋白质、脂质、维生素、矿物质等。科技的进步,使得通过改变饲粮矿物质、维生素、脂肪酸等营养组成,调控禽蛋、开发功能性蛋成为可能。文章综述了部分功能性蛋的研究进展,趋势展望及其面临的问题,以期对功能性蛋的深入研究提供思路。

关键词：功能性蛋进展展望

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长宁页岩气储层分级测井评价标准及应用

测井技术 2022年第5期46卷 599-605页

作者：杨扬樊骐铖王海青曹冬云钟光海黄劲松四川长宁天然气开发有限责任公司四川成都610056 山东立鼎石油科技有限公司山东东营257100 中国石油西南油气田公司页岩气研究院四川成都610051

为准确评价长宁地区海相页岩气而研究页岩气测井分级评价标准。在借鉴前人量化分析确定总有机碳含量(TOC)、总含气量、有机质成熟度、孔隙度和脆性矿物含量这5个页岩气品质主控因素的基础上,通过对长宁地区20口井龙马溪组—五峰组实验... 详细信息

为准确评价长宁地区海相页岩气而研究页岩气测井分级评价标准。在借鉴前人量化分析确定总有机碳含量(TOC)、总含气量、有机质成熟度、孔隙度和脆性矿物含量这5个页岩气品质主控因素的基础上,通过对长宁地区20口井龙马溪组—五峰组实验数据进行分析,利用总含气量与总有机碳含量的关系确定页岩气层TOC下界值。结合页岩有机质成熟度、矿物组分含量、孔隙度、总含气量等重要指标,与敏感测井信息做对应性分析,进一步明确Ⅰ类、Ⅱ类、Ⅲ类页岩气层、页岩干层及石墨化页岩干层的测井分级评价标准。通过区间数指标权重熵值法得到页岩气单因素权值以及储层品质综合评价方法。结果表明,应用所形成的页岩气分级评价标准及综合品质评价方法能较好地指示储层品质,为选层压裂以及页岩气资源评价提供技术支撑。

关键词：页岩气分级评价总有机碳含量总含气量储层品质长宁区块

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葡萄响应盐胁迫的研究进展

中外葡萄与葡萄酒 2024年第1期 94-99页

作者：牛帅科董宣赵艳卓陈展宣立锋张志超杨丽丽王广海河北省农林科学院石家庄果树研究所河北石家庄050064 中粮华夏长城葡萄酒有限公司河北秦皇岛066600

在葡萄生产中,盐胁迫是常见的非生物胁迫之一。在发生盐胁迫时,葡萄的产量与品质常常会降低,因此提高葡萄对盐胁迫的耐受性,已成为葡萄栽培中迫在眉睫的问题。本文综述了盐胁迫对葡萄生长发育及生理生化影响的研究进展,探讨了葡萄响应... 详细信息

在葡萄生产中,盐胁迫是常见的非生物胁迫之一。在发生盐胁迫时,葡萄的产量与品质常常会降低,因此提高葡萄对盐胁迫的耐受性,已成为葡萄栽培中迫在眉睫的问题。本文综述了盐胁迫对葡萄生长发育及生理生化影响的研究进展,探讨了葡萄响应盐胁迫的分子机制和缓解盐胁迫的应对措施,并展望了葡萄耐受盐胁迫研究的方向。以期为葡萄耐盐机理的解析及耐盐品种的选育提供理论依据,为缓解葡萄盐害的栽培技术提供新思路。

关键词：葡萄盐胁迫耐盐性

融合自监督学习和Vision Transformer的作物病害识别模型

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绵阳师范学院学报 2024年第11期43卷 93-101页

作者：张广海许佳炜夏慧娟王杨张辉段蒙蒙芜湖学院大数据与人工智能系安徽芜湖241000 安徽师范大学计算机与信息学院安徽芜湖241002

针对基于深度卷积神经网络的作物病害识别模型存在抗干扰能力不足问题,提出一种融合自监督学习和Vision Transformer的HMLP_TR-ViT模型.首先在预训练阶段使用HMLP分块序列化结构来提高MAE模型的层级信息提取能力;然后在精调阶段引入序... 详细信息

针对基于深度卷积神经网络的作物病害识别模型存在抗干扰能力不足问题,提出一种融合自监督学习和Vision Transformer的HMLP_TR-ViT模型.首先在预训练阶段使用HMLP分块序列化结构来提高MAE模型的层级信息提取能力;然后在精调阶段引入序列重组操作以消除自注意力计算过程中的无效背景序列块,旨在提高网络编码层的推理速度,使所提模型更加聚焦作物病害区域.在公开数据集Plant-Village和自建数据集PDVD-7上实验,使用HMLP结构后的识别率分别为99.90%和98.37%,序列重组后的识别率分别为99.92%和98.37%;对比DCNNs(ResNet、EfficientNet和ConvNeXt),HMLP_TR-ViT在两个数据集上病害识别性能均达到最优,分别为99.92%和98.46%.

关键词：作物病害识别自监督学习序列重组 Vision Transformer 自注意力

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温和性猪瘟病毒的电镜形态观察

江苏农学院学报 1985年第2期 33-34页

作者：余广海杨果王伯钊杨维贤曾群辉四川农学院四川医学院叙永县畜牧局西藏农牧学院教师

国内流行的猪无名高热已被许多学者证实为温和性猪瘟。病毒株的抗原与石门系标准毒株相一致,但毒力降低。对其致病特性、流行规律、临床特点、病理变化和毒力变异性情况等均有研究。本试验只将温和性猪瘟病毒的形态特点和石门系标准毒... 详细信息

国内流行的猪无名高热已被许多学者证实为温和性猪瘟。病毒株的抗原与石门系标准毒株相一致,但毒力降低。对其致病特性、流行规律、临床特点、病理变化和毒力变异性情况等均有研究。本试验只将温和性猪瘟病毒的形态特点和石门系标准毒株作一比较。

关键词：温和性猪瘟石门开拓巷道标准毒株形态观察电子显微镜电镜

The real-world study of the clinical characteristics,diagnosis,and treatment of advanced pancreatic cancer in China

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Journal of Pancreatology 2024年第1期7卷 1-9页

作者： Jiujie Cui Qihan Fu Xiaobing Chen Yanling Wang Qi Li Feng Wang Zhihua Li guanghai Dai Yusheng Wang Hongmei Zhang Houjie Liang Jun Zhou Liu yang Fenghua Wang Leizhen Zheng Xiaofeng Chen Ping Gong Jiang Liu Ying Yuan Lin Wang Yuejuan Cheng Jun Zhang Yuhong Zhou Weijian Guo Xianbao Zhan Zhengyun Zou Da Li Shan Zeng Enxiao Li Zhiwei Li Zan Teng Dan Cao Jie Kan Jianping Xiong Ming Quan Jiayu Yao Haiyan yang Liwei Wang Department of Medical Oncology Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Medical Oncology The First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouChina Department of Medical Oncology Affiliated Cancer Hospital of Zhengzhou UniversityHenan Cancer HospitalZhengzhouChina Department of Medical Oncology Shanghai General HospitalShanghai Jiao Tong UniversityShanghaiChina Department of Medical Oncology The First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina Department of Medical Oncology Sun Yat-sen Medical Hospital Sun Yat-sen UniversityGuangzhouChina Medical Oncology Chinese PLA General HospitalBeijingChina Department of Gastrointestinal Oncology Shanxi Provincial Cancer HospitalAffiliated to Shanxi Medical UniversityTaiyuanChina Department of Clinical Oncology Xijing HospitalAir Force Medical UniversityXi’anChina Department of Oncology and Southwest Cancer Center Southwest HospitalThird Military Medical University(Army Military Medical University)ChongqingChina Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing)Peking University Cancer Hospital&InstituteBeijingChina Cancer Center Department of Medical OncologyZhejiang Provincial People’s HospitalPeople’s Hospital of Hangzhou Medical CollegeHangzhouChina Department of Medical Oncology Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouGuangdongChina Oncology Department Xin Hua Hospital Affiliated to Shanghai JiaoTong University School of MedicineShanghaiChina Department of Oncology the First Affiliated Hospital with Nanjing Medical UniversityNanjingChina Department of Oncology The First Affiliated HospitalSchool of MedicineShihezi UniversityShiheziChina Department of Oncology People’s Hospital of Xinjiang Uygur Autonomous RegionXinjiangChina Department of Medical Oncology t

Objective:Real-world diagnostic and treatment data for pancreatic cancer in China are *** such,the present study investigated the clinical characteristics,diagnosis,and treatment of advanced pancreatic cancer(including locally advanced and metastatic disease)in the Hospital-based Advanced Pancreatic Cancer Cohort in China of the China Pancreas Data Center ***:A total of 5349 Chinese patients with advanced pancreatic cancer were identified from a *** entire course of real-world pancreatic cancer management was ***:The proportion of patients with advanced pancreatic cancer was higher among males than females(62.4%vs 37.6%,respectively).Patients typically had a history of hypertension(30.8%),diabetes(21.6%),and cholangitis(20.2%).Abdominal pain(51.6%),abdominal distension(27.1%),jaundice(20.1%),and weight loss(16.3%)were the main symptoms observed in patients with advanced pancreatic cancer in this *** carbohydrate antigen(CA)19-9 is one of the most common tumor *** the present study,2562 patients underwent first-line *** median progression-free survival(PFS)for patients undergoing first-line therapy was 4.1 *** major options for first-line therapy included gemcitabine(GEM)plus S-1(GS/X)(23.4%),nab-paclitaxel plus GEM(AG)(18.1%),oxaliplatin,irinotecan,and leucovorin-modulated fluorouracil(FOLFIRINOX;11.9%),nab-paclitaxel plus S-1(AS)(8.9%),and GEM combined with oxaliplatin/cisplatin(GEMOX/GP)(7.6%).The AS and GS/X regimens were associated with the highest PFS ***:This is the first study to report multicenter,real-world data regarding advanced pancreatic cancer in *** revealed that real-world treatment options differed from guideline recommendations,and PFS was shorter than that in previously reported *** intelligent follow-up systems and standardizing diagnosis and treatment of pancreatic cancer is recommended.

关键词： Advanced pancreatic cancer China Pancreas Data Center Chinese First-line regimens Real-world study

基于RD-YOLO的毫米波雷达和视觉融合显著性目标检测

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邵阳学院学报（自然科学版） 2024年第4期21卷 30-38页

作者：王杨王臣飞张广海张俊后海伦欧阳少雄芜湖学院大数据与人工智能系安徽芜湖241000 安徽师范大学计算机与信息学院安徽芜湖241002 芜湖市大数据与人工智能工程技术研究中心安徽芜湖241003

为了解决单传感器在复杂环境下目标检测精度低问题,提出了一种基于RD-YOLO的毫米波雷达和视觉融合的显著性目标检测方法。首先设计了能够将毫米波雷达点云转换为图像的方法,使毫米波雷达和视觉数据在模型输入时实现特征融合;然后通过动... 详细信息

为了解决单传感器在复杂环境下目标检测精度低问题,提出了一种基于RD-YOLO的毫米波雷达和视觉融合的显著性目标检测方法。首先设计了能够将毫米波雷达点云转换为图像的方法,使毫米波雷达和视觉数据在模型输入时实现特征融合;然后通过动态互补注意力机制,对两个图像分支生成特征设置空间和通道动态注意力权重;最后采用YOLOv8检测融合后特征,引入改进损失函数Focal Loss以解决样本不均衡问题。在数据集nuScenes上开展的相关实验表明,与YOLOv5、YOLOv7、YOLOv8、Faster R-CNN和FCOS相比,所提方法目标检测综合性能良好,均值平均精度比原始YOLOv8提升了9.19%。

关键词：显著性目标检测特征融合毫米波雷达雷达点云转换动态互补注意力机制