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| 1 | Information entropy for ordinal classification显示文摘Ordinal classification plays an important role in various decision making tasks.However, little attention is paid to this type of learning tasks compared with general classification learning.Shannon information entropy and the derived measure of mutual information play a fundamental role in a number of learning algorithms including feature evaluation, selection and decision tree construction.These measures are not applicable to ordinal classification for they cannot characterize the consistency of monotonicity in ordinal classification.In this paper, we generalize Shannon's entropy to crisp ordinal classification and fuzzy ordinal classification, and show the information measures of ranking mutual information and fuzzy ranking mutual information.We discuss the properties of these measures and show that the proposed ranking mutual information and fuzzy ranking mutual information are the indexes of consistency of monotonicity in ordinal classification.In addition, the proposed indexes are used to evaluate the monotonicity degree between features and decision in the context of ordinal classification. | HU QingHua GUO MaoZu YU DaRen LIU JinFu | 2010 | Science China(Information Sciences)2010，53，6： | 29 |
| 2 | Dynamic management system of ore blending in an open pit mine based on GIS/GPS/GPRS显示文摘Using GIS, GPS and GPRS, a dynamic management system of ore blending in an open pit mine has been designed and developed. A linear program was established in a practical application. The system is very good at automatically drawing up a daily production plan of ore blending and monitors and controls the process of mining production in real time. Experiments under real conditions show that the performance of this system is stable and can satisfy production standards of ore blending in open pit mines. | GU Qinghua LU Caiwu GUO Jinping JING Shigun | 2010 | Mining Science and Technology2010，20，1： | 19 |
| 3 | Endothelial Nitric Oxide Synthase Gene Intron 4, 27 bp Repeat Polymorphism and Essential Hypertension in the Kazakh Chinese Population显示文摘为了调查在 27 bp 之间的关系,在内含子 4in 重复多型性 endothelial 在 KazakhChinese 人口的氮的氧化物合酶( eNOS4 )基因和必要高血压,有必要高血压和 138 个健康的人的 151 个病人在 Xinjiang uygur 从 Shawan 区域的 Boertonggu 农村被选择中国 in2006 的自治区域。在二个组的 eNOS 的多型性与聚合酶链反应试金被检测,在每个组的遗传型频率是计算的跟随 Hardy-Weinberg 法律。Fourand 27 bp 重复的五辆双人脚踏车是被指明一 and “ b' 分别地。b/b, b/a 和 eNOS4 基因的 a/a 遗传型的频率在控制组是 84.06% , 15.22% 和 0.72% ,这被发现,并且 81.46% , 15.89% 和 2.65% 分别地在高血压组织。基因的频率一 and “ b' 在控制组是 91.67% 和 8.33% , 89.40% 和 10.60% 分别地在高血压组织。血浆 eNOS 活动没与 eNOS 基因的遗传型和等位基因被联系,这被发现。在高血压组的血浆 eNOS 活动显著地与控制组(P<0.01 ) 相比被减少。结果建议 eNOS4 基因多型性是不大可能的是为在 Xinjiang 哈萨克人口的必要高血压的主要基因危险性因素。然而,在血浆 eNOS 活动之间的一个积极协会和必要高血压被揭示了。 | Fengmei DENG Qinghua HU Bin TANG Fang HE Shuxia GUO Jiang CHEN Feng LI Xuehua WU Jun ZHANG Huimin ZHANG Juan ZHAO Hua ZHONG Ling HE Jun LI Le ZHANG Shuren WANG | 2007 | Acta Biochimica et Biophysica Sinica2007，39，5： | 18 |
| 4 | Levels and distributions of polychlorinated biphenyls in sewage sludge of urban wastewater treatment plants显示文摘Concentrations of polychlorinated biphenyls (PCBs) have been measured in sewage sludge samples from 8 urban wastewater treatment plants in Beijing, China. The PCB congeners were analyzed by isotope dilution high resolution gas chromatography/high resolution mass spectrometry method. The concentration of PCBs ranged from 65.6 to 157 ng/g dry weight (dw), with a mean value of 101 ng/g dw. The dioxin-like PCB WHO-TEQs (World Health Organization-Toxic Equivalents) of the sludge were lower than 1 pg /g dw. Consequently, all the concentrations of PCBs in sludge samples were below the upper limit for land application according to the Chinese legislation law for agriculture use. The PCB homologue profiles in sludge samples were dominated by tri-CBs and tetra- CBs. Similar distributions have been found in one of the Chinese PCB commercial products. The patterns of dioxin-like and indicator congeners observed in this study were quite similar in all samples. The predominant congener for dioxin-like and indicator PCBs were PCB-118 and PCB-28, respectively, while PCB-126 had the highest TEQ value. | GUO Li, ZHANG Bing, XIAO Ke, ZHANG Qinghua, ZHENG Minghui State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences,Beijing 100085, China | 2009 | Journal of Environmental Sciences2009，21，4： | 14 |
| 5 | Crop 3D a LiDAR based platform for 3D high-throughput crop phenotyping显示文摘With the growing population and the reducing arable land, breeding has been considered as an effective way to solve the food crisis.As an important part in breeding, high-throughput phenotyping can accelerate the breeding process effectively. Light detection and ranging(LiDAR) is an active remote sensing technology that is capable of acquiring three-dimensional(3 D) data accurately,and has a great potential in crop phenotyping. Given that crop phenotyping based on LiDAR technology is not common in China,we developed a high-throughput crop phenotyping platform, named Crop 3 D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager. Compared with traditional crop phenotyping techniques, Crop 3 D can acquire multi-source phenotypic data in the whole crop growing period and extract plant height, plant width, leaf length, leaf width, leaf area, leaf inclination angle and other parameters for plant biology and genomics analysis. In this paper, we described the designs,functions and testing results of the Crop 3 D platform, and briefly discussed the potential applications and future development of the platform in phenotyping. We concluded that platforms integrating LiDAR and traditional remote sensing techniques might be the future trend of crop high-throughput phenotyping. | Qinghua Guo Fangfang Wu Shuxin Pang Xiaoqian Zhao Linhai Chen Jin Liu Baolin Xue Guangcai Xu Le Li Haichun Jing Chengcai Chu | 2018 | Science China(Life Sciences)2018，61，3： | 14 |
| 6 | Liraglutide alleviates cardiac fibrosis through inhibiting P4hα-1 expression in STZ-induced diabetic cardiomyopathy显示文摘Diabetic cardiomyopathy is an important contributor to morbidity and mortality of diabetic patients by causing heart failure.Interstitial and perivascular fibrosis plays a crucial role in diabetic cardiomyopathy.However,there is a lack of effective specific treatments available for diabetic cardiomyopathy.In the present study,we aim to explore the effects of Liraglutide,a GLP-1 analogue,on diabetic cardiomyopathy in STZ-induced diabetic rats fed with high-fat diet.A total of 60 male Wistar rats were randomly assigned to three groups,i.e.normal group,model group,and Liraglutide group,with 20 rats in each group.Serum levels of TC,TG,LDL-C,NEFA,and hydroxyproline were measured using commercial kits.Cardiac function was evaluated by QRS waves,LVEDd,LVESd,and LVEF.Myocardial fibrosis was measured by immunohistochemistry.Our results demonstrated that chronic administration of Liraglutide decreased the level of blood glucose and significantly alleviated lipid metabolic disturbance compared with the model group.Furthermore,Liraglutide was found to improve the damaged cardiac function.In line with this,we also found that the alleviation of cardiac dysfunction was associated with the decreased fibrosis in diabetic myocardial tissues,which was reflected by the decreased expressions of P4hα-1,COL-1,COL-3,MMP-1,and MMP-9.Our results thus suggest that Liraglutide might have a myocardial protective effect by inhibiting P4hα-1-mediated myocardial fibrosis. | Tong Zhao Huiqiang Chen Fei Xu Juan Wang Yusheng Liu Xiaowei Xing Linlin Guo Mingxiang Zhang Qinghua Lu | 2019 | Acta Biochimica et Biophysica Sinica2019，51，3： | 9 |
| 7 | Use of land's cooperative object to estimate UAV's pose for autonomous landing显示文摘The research of unmanned aerial vehicles’(UAVs’)autonomy navigation and landing guidance with computer vision has important signifcance.However,because of the image blurring,the position of the cooperative points cannot be obtained accurately,and the pose estimation algorithms based on the feature points have low precision.In this research,the pose estimation algorithm of UAV is proposed based on feature lines of the cooperative object for autonomous landing.This method uses the actual shape of the cooperative-target on ground and the principle of vanishing line.Roll angle is calculated from the vanishing line.Yaw angle is calculated from the location of the target in the image.Finally,the remaining extrinsic parameters are calculated by the coordinates transformation.Experimental results show that the pose estimation algorithm based on line feature has a higher precision and is more reliable than the pose estimation algorithm based on points feature.Moreover,the error of the algorithm we proposed is small enough when the UAV is near to the landing strip,and it can meet the basic requirements of UAV’s autonomous landing. | Xu Guili Qi Xiaopeng Zeng Qinghua Tian Yupeng Guo Ruipeng Wang Biao | 2013 | Chinese Journal of Aeronautics2013，26，6： | 8 |
| 8 | Application of deep learning in ecological resource research:Theories, methods, and challenges显示文摘Ecological resources are an important material foundation for the survival,development,and self-realization of human beings.In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society.Advances in observation technology have improved the ability to acquire long-term,cross-scale,massive,heterogeneous,and multi-source data.Ecological resource research is entering a new era driven by big data.Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data.Deep learning is a method for automatically extracting complex high-dimensional nonlinear features,which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data.To promote the application of deep learning in the field of ecological resource research,here,we first introduce the relationship between deep learning theory and research on ecological resources,common tools,and datasets.Second,applications of deep learning in classification and recognition,detection and localization,semantic segmentation,instance segmentation,and graph neural network in typical spatial discrete data are presented through three cases:species classification,crop breeding,and vegetation mapping.Finally,challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning.It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms,and enrich applications with the development of hardware. | Qinghua GUO Shichao JIN Min LI Qiuli YANG Kexin XU Yuanzhen JU Jing ZHANG Jing XUAN Jin LIU Yanjun SU Qiang XU Yu LIU | 2020 | Science China Earth Sciences2020，63，10： | 7 |
| 9 | Metal-organic framework-derived Fe/Cu-substituted Co nanoparticles embedded in CNTs-grafted carbon polyhedron for Zn-air batteries显示文摘Metal-organic frameworks(MOFs)and MOF-derived materials have attracted great attention as alternatives to noble-metal based electrocatalysts owing to their intriguing structure properties,especially for high efficiency and stable oxygen reduction reaction(ORR).Herein,we employed a one-pot reaction to make a multimetal(Fe,Co,Cu,and Zn)mixed zeolitic imidazolate framework(MM-ZIF)via adopting a simple in situ redox reaction.Further pyrolysis of the target MM-ZIF,a highly porous carbon polyhedron(FC-C@NC)grafted with abundant carbon nanotubes was obtained,in which ultrasmall Co nanoparticles with partial lattice sites substituted by Fe and Cu were embedded.The obtained FC-C@NC possessed large surface area,highly porous structure,widely-spread metal active sites,and conductive carbon frameworks,contributing to outstanding ORR activity and long-term stability.It displayed superior tolerance to methanol crossover and exceeded the commercial Pt/C catalyst and most previously reported non-noble-metal catalysts.Impressively,the as-produced FC-C@NC-based zinc-air battery afforded an open-circuit potential of 1.466 V,a large specific capacity of 659.5 mAh/g,and a high gravimetric energy density of 784.3 Wh/kgZn,significantly outperforming the Pt/C-based cathode. | Kexin Zhang Yelong Zhang Qinghua Zhang Zibin Liang Lin Gu Wenhan Guo Bingjun Zhu Shaojun Guo Ruqiang Zou | 2020 | Carbon Energy2020，2，2： | 7 |
| 10 | A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen显示文摘Landslide susceptibility mapping is a typical two-class classification problem where generating pseudo absence (non-slide) data plays an important role.In this paper,a new method,target space exteriorization sampling method (TSES),is presented to generate pseudo absence data based on presence data directly in feature space.TSES exteriorizes a presence sample to become a pseudo absence one by replacing the value of one of its features with a new one outside the value range of this feature of all presence data.This method is compared with two existing methods,buffer controlled sampling (BCS) and iteratively refined sampling (IRS),in a study area of Shenzhen city.The pseudo absence data generated by each of these three methods are organized into 20 subsets with increasing data sizes to study the effects of the proportion of pseudo absence data to presence data.The landslide susceptibility maps of the study area are calculated with all these datasets by general additive model (GAM).It can be concluded that,through a 10-fold validation,TSES and IRS-based models have similar AUC values that are both greater than that of BCS,but TSES outperforms BCS and IRS in prediction efficiency.TSES results also have more reasonable spatial and histogram distributions than BCS and IRS,which can support categorization of an area into more susceptibility ranks,while IRS shows a tendency to separate the whole study area into two susceptibility extremes.It can be also concluded that when using BCS,the pseudo absence data proportion to the presence data would be about 50% to get a considerable result,while for IRS or TSES the minimum proportion is 40%. | XIAO ChenChao TIAN Yuan SHI WenZhong GUO QingHua WU Lun | 2010 | Science China(Technological Sciences)2010，53，S1： | 7 |
| 11 | Protection of Mice from Lethal Endotoxemia by Chimeric Human BPI-Fcγ1 Gene Delivery显示文摘To evaluate the potentiality of applying gene therapy to endotoxemia in high-risk patients, we investigated the effects of transferring an adeno-associated virus serotype 2 (AAV2)-mediated BPI-Fcγ1 gene on protecting mice from challenge of lethal endotoxin. The chimeric BPI-Fcγ1 gene consists of two parts, one encods functional N-terminus (1 to 199 amino acidic residues) of human BPI, which is a bactericidal/permeability-increasing protein, and the other encodes Fc segment of human immunoglobulin G1(Fcγ1). Our results indicated that the target protein could be expressed and secreted into the serum of the gene-transferred mice. After lethal endotoxin challenge, the levels of endotoxin and TNF-αin the gene-transferred mice were decreased. The survival rate of the BPI-Fcγ1 gene-transferred mice was markedly increased. Our data suggest that AAV2-mediated chimeric BPI-Fcγ1 gene delivery can potentially be used clinically for the protection and treatment of endotoxemia and endotoxic shock in high-risk individuals. | Chen Li Jing Li Zhe Lv Xinghua Guo Qinghua Chen Qingli Kong Yunqing An | 2006 | Cellular & Molecular Immunology2006，3，3： | 7 |
| 12 | Levels and distributions of polychlorinated naphthalenes in sewage sludge of urban wastewater treatment plants显示文摘Over seventy congeners of polychlorinated naphthalenes(PCNs) in sewage sludge of 8 urban waste-water treatment plants(WWTPs) in Beijing were analyzed by isotope dilution,and high resolution gas chromatography/high resolution mass spectrometry(HRGC/HRMS) method.The total PCN concentrations determined in the samples range from 1.48 to 28.21 ng/g dw(dry weight) with TEQ concentrations of 0.11―2.45 pg/g dw.These levels were lower than those found in other regions.DiCNs and TrCNs were the most dominant homologues of PCNs.The similar congener profiles in all the samples suggest the similarity in certain sources.Contamination from industrial input might be the most significant source of PCNs in the sludges in this study,and thermal processes such as waste incineration and coal combustion may be another source of the PCNs contamination. | GUO Li ZHANG Bing XIAO Ke ZHANG QingHua ZHENG MingHui | 2008 | Chinese Science Bulletin2008，53，4： | 5 |
| 13 | Knowledge forest:a novel model to organize knowledge fragments显示文摘Dear editor,With the rapid growth of knowledge,there is a steady trend of knowledge fragmentization.Knowledge fragmentization manifests as that the knowledge related to a specific topic in a course is scattered in isolated and autonomous knowledge sources[1].We term the knowledge of a facet in a specific topic as a knowledge fragment.For example,“A push operation adds an item to the top-most location on the stack.”is a knowledge fragment about facet operation of topic Stack. | Qinghua ZHENG Jun LIU Hongwei ZENG Zhaotong GUO Bei WU Bifan WEI | 2021 | Science China(Information Sciences)2021，64，7： | 5 |
| 14 | Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series显示文摘Plant growth rhythm in structural traits is important for better understanding plant response to the ever-changing environment.Terrestrial laser scanning(TLS)is a well-suited tool to study structural rhythm under field conditions.Recent studies have used TLS to describe the structural rhythm of trees,but no consistent patterns have been drawn.Meanwhile,whether TLS can capture structural rhythm in crops is unclear.Here,we aim to explore the seasonal and circadian rhythms in maize structural traits at both the plant and leaf levels from time-series TLS.The seasonal rhythm was studied using TLS data collected at four key growth periods,including jointing,bell-mouthed,heading,and maturity periods.Circadian rhythms were explored by using TLS data acquired around every 2 hours in a whole day under standard and cold stress conditions.Results showed that TLS can quantify the seasonal and circadian rhythm in structural traits at both plant and leaf levels.(1)Leaf inclination angle decreased significantly between the jointing stage and bell-mouthed stage.Leaf azimuth was stable after the jointing stage.(2)Some individual-level structural rhythms(e.g.,azimuth and projected leaf area/PLA)were consistent with leaf-level structural rhythms.(3)The circadian rhythms of some traits(e.g.,PLA)were not consistent under standard and cold stress conditions.(4)Environmental factors showed better correlations with leaf traits under cold stress than standard conditions.Temperature was the most important factor that significantly correlated with all leaf traits except leaf azimuth.This study highlights the potential of time-series TLS in studying outdoor agricultural chronobiology. | Shichao Jin Yanjun Su Yongguang Zhang Shilin Song Qing Li Zhonghua Liu Qin Ma Yan Ge LingLi Liu Yanfeng Ding Frédéric Baret Qinghua Guo | 2021 | Plant Phenomics2021，3，1： | 5 |
| 15 | FAST MUSIC SPECTRUM PEAK SEARCH VIA METROPOLIS-HASTINGS SAMPLER显示文摘A fast MUltiple SIgnal Classification (MUSIC) spectrum peak search algorithm is devised, which regards the power of the MUSIC spectrum function as target distribution up to a constant of proportionality, and uses Metropolis-Hastings (MH) sampler, one of the most popular Markov Chain Monte Carlo (MCMC) techniques, to sample from it. The proposed method reduces greatly the tremendous computation and storage costs in conventional MUSIC techniques i.e., about two and four orders of magnitude in computation and storage costs under the conditions of the experiment in the paper respectively. | Guo Qinghua Liao Guisheng | 2005 | Journal of Electronics(China)2005，22，6： | 5 |
| 16 | Two-stage local constrained sparse coding for fine-grained visual categorization显示文摘Fine-grained visual categorization(FGVC)[1,2]classifies the objects into categories which are both visually and semantically similar.Currently,the FGVC has included many species,i.e.,flowers,birds,and dogs.In these species,all categories have a characteristic with intra-class diversity and inter-class similarity. | Lihua GUO Chenggang GUO Lei LI Qinghua HUANG Yanshan LI Xuelong LI | 2018 | Science China(Information Sciences)2018，61，1： | 4 |
| 17 | Design and application of 60mer oligonucleotide microarray in SARS coronavirus detection显示文摘The 60mer oligonucleotide microarray was designed and applied to detecting of SARS (severe acute res-piratory syndrome) coronavirus. Thirty 60mer specific oligos were designed to cover the whole genome of the first submit-ted coronavirus strain, according to the sequence of TOR2 (GENEBANK Accession: AY274119). These primers were synthesized and printed into a microarray with 12×12 spots. RNAs were extracted from the throat swab and gargling fluid of SARS patients and reverse-transcripted into the double strand cDNAs. The cDNAs were prepared as re-stricted cDNA fragments by the restriction display (RD) technique and labeled by PCR with the Cy5-universal primer. The labeled samples were then applied to the oligo microar-ray for hybridization. The diagnostic capability of the mi-croarray was evaluated after the washing and scanning steps. The scanning result showed that samples of SARS patients were hybridized with multiple SARS probes on the microar-ray, and there is no signal on the negative and blank controls. These results indicate that the genome of SARS coronavirus can be detected in parallel by the 60mer oligonucleotide mi-croarray, which can improve the positive ratio of the diagno-sis. The oligo microarray can also be used for monitoring the behavior of the virus genes in different stages of the disease status. | SHI Rong MA Wenli WU Qinghua ZHANG Bao SONG Yanbin GUO Qiuye XIAO Weiwei WANG Yan ZHENG Wenling | 2003 | Chinese Science Bulletin2003，48，12： | 4 |
| 18 | Serum semaphorin 4C as a diagnostic biomarker in breast cancer:A multicenter retrospective study显示文摘Background:To date,there is no approved blood-based biomarker for breast cancer detection.Herein,we aimed to assess semaphorin 4C(SEMA4C),a pivotal protein involved in breast cancer progression,as a serum diagnostic biomarker.Methods:We included 6,213 consecutive inpatients from Tongji Hospital,Qilu Hospital,and Hubei Cancer Hospital.Training cohort and two validation cohorts were introduced for diagnostic exploration and validation.A pan-cancer cohort was used to independently explore the diagnostic potential of SEMA4C among solid tumors.Breast cancer patients who underwent mass excision prior to modified radical mastectomy were also analyzed.We hypothesized that increased pretreatment serum SEMA4C levels,measured using optimized in-house enzymelinked immunosorbent assay kits,could detect breast cancer.The endpoints were diagnostic performance,including area under the receiver operating characteristic curve(AUC),sensitivity,and specificity.Post-surgery pathological diagnosis was the reference standard and breast cancer staging followed the TNM classification.There was no restriction on disease stage for eligibilities.Results:We included 2667 inpatients with breast lesions,2378 patients with other solid tumors,and 1168 healthy participants.Specifically,118 patients with breast cancer were diagnosed with stage 0(5.71%),620 with stage I(30.00%),966 with stage II(46.73%),217 with stage III(10.50%),and 8 with stage IV(0.39%).Patients with breast cancer had significantly higher serum SEMA4C levels than benign breast tumor patients and normal controls(P<0.001).Elevated serum SEMA4C levels had AUC of 0.920(95%confidence interval[CI]:0.900–0.941)and 0.932(95%CI:0.911–0.953)for breast cancer detection in the two validation cohorts.The AUCs for detecting early-stage breast cancer(n=366)and ductal carcinoma in situ(n=85)were 0.931(95%CI:0.916–0.946)and 0.879(95%CI:0.832–0.925),respectively.Serum SEMA4C levels significantly decreased after surgery,and the reduction was more striking after modified radical mastectomy,compared with mass excision(P<0.001).The positive rate of enhanced serum SEMA4C levels was 84.77%for breast cancer and below 20.75%for the other 14 solid tumors.Conclusions:Serum SEMA4C demonstrated promising potential as a candidate biomarker for breast cancer diagnosis.However,validation in prospective settings and by other study groups is warranted. | Ya Wang Long Qiao Jie Yang Xiong Li Yaqi Duan Jiahao Liu Shaoqi Chen Huayi Li Dan Liu Tian Fang Jingjing Ma Xiaoting Li Fei Ye Junxiang Wan Juncheng Wei Qin Xu Ensong Guo Ping Jin Mingfu Wu Lin Zhang Yun Xia Yaqun Wu Jun Shao Yaojun Feng Qing Zhang Zongyuan Yang Gang Chen Qinghua Zhang Xingrui Li Shixuan Wang Junbo Hu Xiaoyun Wang Mona P.Tan Kazuaki Takabe Beihua Kong Qifeng Yang Ding Ma Qinglei Gao | 2021 | Cancer Communications2021，41，12： | 3 |
| 19 | Characterization and Genome Changes of New Amphiploids from Wheat Wide Hybridization显示文摘引进外来基因或染色体片段的野生亲缘种小麦(Triticum spp.)一直被认为是小麦育种的宝贵(valkoun,2001)。几个亲戚,如黑麦(Gupta和牧羊人,1993;马等人。,2000),长穗偃麦草(刘等人。,2008),第。中间偃麦草(曹等人。,2014)和日。麦草(Li等人。,2008)表现出明显的应用有趣的基因或性状导入小麦。然而,在使用这些遗传资源仍然存在一些挑战。导入片段往往带来外来基因对性状的潜在的负面影响。在这封信中,我们主要集中在小麦和黑麦之间的多倍体合成的多策略,日。长穗偃麦草,日。麦草和TH。麦草。我们已经成功地选择了不同的新的倍体小黑麦、小偃麦线进行优良的抗病基因,为小麦育种提供了重要的遗传资源。 | Xiang Guo Qinghua Shi Jing Wang Yanlin Hou Yuhai Wang Fangpu Han | 2015 | Journal of Genetics and Genomics2015，42，8： | 3 |
| 20 | Effects of antioxidants on homocysteine thiolactone-induced apoptosis in human umbilical vein endothelial cells显示文摘Background and objectives Hyperhomocysteinemia is an independent risk factor for cardiovascular disease. Homocysteine thiolactone (HcyT), one of the homocysteine metabolites in vivo, is toxic both in vivo and in vitro. The aim of this study was to investigate the effect of HcyT on apoptotic damage in human umbilical vein endothelial cells (HUVECs) and the role of antioxidants in the reduction of HcyT-induced apoptosis. Methods HUVECs were cultured in DMEM supplemented with 20% heat inactivated fetal bovine serum cell cultures were maintained in a humidified 5% CO2 atmosphere at 37 ℃. Cytotoxicity was determined by MTT assay,which consists of hypodiploid cells with propidium iodide labeling and intracellular reactive oxygen species levels using 2',7'-dichlorofluorescein diacetate as the probe by flow cytometry. Results HcyT (250-2000μM) induced HUVECs apoptosis in a time- and concentration-dependent manner. Reactive oxygen species levels rose in response to increasing HcyT concentrations at 24-h incubation.The reduction of cell apoptosis by N-acetylcysteine, vitamin E, or pyrrolidine dithiocarbamate, occurred simultaneously with a significant decrease in intracellular reactive oxygen species levels. Conclusion HcyT exerts its cytotoxic effects on endothelial cells through an apoptotic mechanism involving cellular reactive oxygen species production. The capacity of N-acetylcysteine, vitamin E, and pyrrolidine dithiocarbamate to scavenge HcyT-induced cellular reactive oxygen species correlates well with their efficiency to protect against HcyT-promoted apoptotic damage. The protective effect of pyrrolidine dithiocarbamate on cell apoptosis indicates HcyT-generated hydrogen peroxide may provoke cell apoptosis via activating nuclear factor-kappa binding protein. | Weijun GU Juming LU Guoqing YANG Qinghua GUO Baoan WANG Yiming MU Changyu PAN | 2006 | Journal of Geriatric Cardiology2006，3，2： | 3 |
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