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| 1 | SHP2 promotes proliferation of breast cancer cells through regulating Cyclin D1 stabilityviathe PI3K/AKT/GSK3β signaling pathway显示文摘Objective:The tyrosine phosphatase SHP2 has a dual role in cancer initiation and progression in a tissue type-dependent manner.Several studies have linked SHP2 to the aggressive behavior of breast cancer cells and poorer outcomes in people with cancer.Nevertheless,the mechanistic details of how SHP2 promotes breast cancer progression remain largely undefined.Methods:The relationship between SHP2 expression and the prognosis of patients with breast cancer was investigated by using the TCGA and GEO databases.The expression of SHP2 in breast cancer tissues was analyzed by immunohistochemistry.CRISPR/Cas9 technology was used to generate SHP2-knockout breast cancer cells.Cell-counting kit-8,colony formation,cell cycle,and EdU incorporation assays,as well as a tumor xenograft model were used to examine the function of SHP2 in breast cancer proliferation.Quantitative RT-PCR,western blotting,immunofluorescence staining,and ubiquitination assays were used to explore the molecular mechanism through which SHP2 regulates breast cancer proliferation.Results:High SHP2 expression is correlated with poor prognosis in patients with breast cancer.SHP2 is required for the proliferation of breast cancer cellsin vitro and tumor growthin vivo through regulation of Cyclin D1 abundance,thereby accelerating cell cycle progression.Notably,SHP2 modulates the ubiquitin–proteasome-dependent degradation of Cyclin D1viathe PI3K/AKT/GSK3βsignaling pathway.SHP2 knockout attenuates the activation of PI3K/AKT signaling and causes the dephosphorylation and resultant activation of GSK3β.GSK3βthen mediates phosphorylation of Cyclin D1 at threonine 286,thereby promoting the translocation of Cyclin D1 from the nucleus to the cytoplasm and facilitating Cyclin D1 degradation through the ubiquitin–proteasome system.Conclusions:Our study uncovered the mechanism through which SHP2 regulates breast cancer proliferation.SHP2 may therefore potentially serve as a therapeutic target for breast cancer. | Yue Yuan Yanling Fan Zicong Gao Xuan Sun He Zhang Zhiyong Wang Yanfen Cui Weijie Song Zhaosong Wang Fei Zhang Ruifang Niu | 2020 | Cancer Biology & Medicine2020，17，3： | 11 |
| 2 | PKM2 promotes reductive glutamine metabolism显示文摘Objective:Pyruvate kinases M(PKM),including the PKM1 and PKM2 isoforms,are critical factors in glucose metabolism.PKM2promotes aerobic glycolysis,a phenomenon known as'the Warburg effect'.The purpose of this study was to identify the roles of PKM2 in regulating cellular metabolism.Methods:The CRISPR/Cas9 system was used to generate the PKM-knockout cell model to evaluate the role of PKM in cellular metabolism.Lactate levels were measured by the Vitros LAC slide method on an autoanalyzer and glucose levels were measured by the autoanalyzer AU5800.The metabolism of ^(13)C_6-glucose or ^(13)C_5-glutamine was evaluated by liquid chromatography/mass spectrometry analyses.The effects of PKM on tumor growth were detected in vivo in a tumor-bearing mouse model.Results:We found that both PKM1 and PKM2 enabled aerobic glycolysis,but PKM2 converted glucose to lactate much more efficiently than PKM1.As a result,PKM2 reduced glucose levels reserved for intracellular utilization,particularly for the production of citrate,and thus increased theα-ketoglutarate/citrate ratio to promote the generation of glutamine-derived acetylcoenzyme A through the reductive pathway.Furthermore,reductive glutamine metabolism facilitated cell proliferation under hypoxia conditions,which supports in vivo tumor growth.In addition,PKM-deletion induced a reverse Warburg effect in tumorassociated stromal cells.Conclusions:PKM2 plays a critical role in promoting reductive glutamine metabolism and maintaining proton homeostasis.This study is helpful to increase the understanding of the physiological role of PKM2 in cancer cells. | Miao Liu Yuanyuan Wang Yuxia Ruan Changsen Bai Li Qiu Yanfen Cui Guoguang Ying Binghui Li | 2018 | Cancer Biology & Medicine2018，15，4： | 6 |
| 3 | Changes in soil microbial community response to precipitation events in a semi-arid steppe of the Xilin River Basin, China显示文摘In the context of climate change, precipitation is predicted to become more intense at the global scale. Such change may alter soil microbial communities and the microbially mediated carbon and nitrogen dynamics. In this study, we experimentally repackaged precipitation patterns during the growing season(from June to September) of 2012 in a semi-arid temperate steppe of the Xilin River Basin in Inner Mongolia of China, based on the 60-year growing season precipitation data. Specifically, a total amount of 240 mm simulated precipitation was assigned to experimental plots by taking the following treatments:(1) P6(6 extreme precipitation events, near the 1^(st) percentile);(2) P10(10 extreme precipitation events, near the 5^(th) percentile);(3) P16(16 moderate precipitation events, near the 50^(th) percentile); and(4) P24(24 events, 60-year average precipitation, near the 50^(th) percentile). At the end of the growing season, we analyzed soil microbial community structure and biomass, bacterial abundance, fungal abundance and bacterial composition, by using phospholipid fatty acid(PLFA), real-time quantitative polymerase chain reaction(RT-qPCR) and 16S rRNA gene clone library methods. The extreme precipitation events did not change soil microbial community structure(represented by the ratio of PLFA concentration in fungi to PLFA concentration in bacteria, and the ratio of PLFA concentration in gram-positive bacterial biomass to PLFA concentration in gram-negative bacterial biomass). However, the extreme precipitation events significantly increased soil microbial activity(represented by soil microbial biomass nitrogen and soil bacterial 16S rRNA gene copy numbers). Soil fungal community showed no significant response to precipitation events. According to the redundancy analysis, both soil microbial biomass nitrogen and soil ammonium nitrogen(NH_4-N) were found to be significant in shaping soil microbial community. Acidobacteria, Actinobacteria and Proteobacteria were the dominant phyla in soil bacterial composition, and responded differently to the extreme precipitation events. Based on the results, we concluded that the extreme precipitation events altered the overall soil microbial activity, but did not impact how the processes would occur, since soil microbial community structure remained unchanged. | ZHANG Hui LIU Wenjun KANG Xiaoming CUI Xiaoyong WANG Yanfen ZHAO Haitao QIAN Xiaoqing HAO Yanbin | 2019 | Journal of Arid Land2019，11，1： | 5 |
| 4 | Determination of glucose deficiency-induced cell death by mitochondrial ATP generation-driven proton homeostasis显示文摘 | Yanfen Cui Yuanyuan Wang Miao Liu Li Qiu Pan Xing Xin Wang Guoguang Ying Binghui Li | 2017 | Journal of Molecular Cell Biology2017，9，5： | 3 |
| 5 | The chemistry of heavy haze over Urumqi, Central Asia显示文摘 | Juan Li Guoshun Zhuang Kan Huang Yanfen Lin Qiongzhen Wang Yuhong Guo Jinghua Guo Shulong Yu Caixia Cui Joshua S. Fu | 2008 | Journal of Atmospheric Chemistry2008，，1： | 2 |
| 6 | An Aptamer-based Colorimetric Sensor for Streptomycin and Its Application in Food Inspection显示文摘 | LIU Zhongcheng ZHANG Yanfen XIE Yao SUN Ying BI Kewei CUI Zhe ZHAO Lijian FAN Wufang | 2017 | Chemical Research in Chinese Universities2017，33，5： | 2 |
| 7 | Unimodal productivity-biodiversity relationship along the gradient of multidimensional resources across Chinese grasslands显示文摘Resources can affect plant productivity and biodiversity simultaneously and thus are key drivers of their relationships in addition to plant-plant interactions.However,most previous studies only focused on a single resource while negle cting the nature of resource multidimensionality.Here we integrated four essential resources for plant growth into a single metric of resource diversity(RD)to investigate its effects on the productivity-biodiversity relationship(PBR)across Chinese grasslands.Results showed that habitats differing in RD have different PBRs—positive in low-resource habitats,but neutral in medium-and high-resource ones—while collectively,a weak positive PBR was observe d.However,when excluding direct effects of RD on productivity and biodiversity,the PBR in high-resource habitats became negative,which leads to a unimodal instead of a positive PBR along the RD gradient.By integrating resource effects and changing plant-plant interactions into a unified framework with the RD gradient,our work contributes to uncovering underlying me chanisms for inconsistent PBRs at large scales. | Yanfen Wang Jianqing Du Zhe Pang Yali Liu Kai Xue Yann Hautier Biao Zhang Li Tang Lili Jiang Baoming Ji Xingliang Xu Jing Zhang Ronghai Hu Shutong Zhou Fang Wang Rongxiao Che Di Wang Chaoting Zhou Xiaoyong Cui Nico Eisenhauer Yanbin Hao | 2022 | National Science Review2022，9，12： | 2 |
| 8 | Numerical Method Satisfying the First Two Conservation Laws for zhe Korteweg-de Vries Equation显示文摘 | Cui Yanfen Mao Dekang | | 0，，01： | 1 |
| 9 | Numerical method satisfyingthe first two conservation laws for the Korteweg-de Vriesequation显示文摘 | Cui Yanfen Mao Dekang | | 0，，01： | 1 |
| 10 | error self-canceling of adifference scheme maintaining two conservation lawsfor linear advection equation显示文摘 | Cui Yanfen Mao Dekang | | 0，，： | 1 |
| 11 | Evenness is important in assessing progress towards sustainable development goals显示文摘Sustainable development goals(SDGs)emphasize a holistic achievement instead of cherry-picking a few.However,no assessment has quantitatively considered the evenness among all 17 goals.Here,we propose a systematic method,which first integrates both the evenness and the overall status of all goals,to distinguish the ideal development pathways from the uneven ones and then revisit the development trajectory in China from 2000 to 2015.Our results suggest that,despite the remarkable progress,a bottleneck has occurred in China since 2013 due to the stagnant developments in some SDGs.However,many far-reaching policies in China have been targeting these deficiencies since then,providing a perspective on how a country approaches sustainable development by promoting evenness among all SDGs.Our results also indicate that regions with the slowest progress are the developed provinces,owing to the persistent uneven status of all goals.Our study demonstrates the importance of adopting evenness in assessing and guiding sustainable development. | Yali Liu Jianqing Du Yanfen Wang Xiaoyong Cui Jichang Dong Yanbin Hao Kai Xue Hongbo Duan Anquan Xia Yi Hu Zhi Dong Bingfang Wu Xinquan Zhao Bojie Fu | 2021 | National Science Review2021，8，8： | 1 |
| 12 | Risk factors for intracerebral hemorrhage and coronary heart diseases over a 3-year period in patients admitted to some hospitals of Tongliao city of Nei Monggol Autonomous Region Retrospective analysis on case data显示文摘BACKGROUND: Intracerebral hemorrhage(ICH) and coronary heart disease (CHD) have the same pathological base, atherosclerosis, and the similar risk factors,such as smoking ,drinking, hypertension, hyperlipemia, diabetes mellitus, etc; but the distributions of two diseases are very different in the populations. This may be related to the exposure of risk factors and different effects of risk factors on two diseases. OBJECTIVE: To analyze the distribution difference of risk factors for ICH and CHD in the populations of Tongliao city of Nei Monggol Autonomous Region. DESIGN: Retrospective analysis. SETTING: School of Radiation Medicine and Public Health, Soochow University; Tongliao Hospital, Nei Monggol Autonomous Region. PARTICIPANTS: Random sampling was used to select 6 hospitals from 10 hospitals affiliated to Tongliao City of Nei Monggol Autonomous Region. Totally 1 672 medical records of patients with ICH and 2 195 medical records of patients with CHD admitted to Department of Neurology and Department of Cardiovascular Internal Medicine of above-mentioned 6 hospitals between January 2003 and December 2005 were collected according to the investigation need. METHODS: The subjects, whose medical records were involved, were performed retrospective analysis with pre-prepared questionnaire 'Stroke and Coronary Heart Disease Epidemiologic Questionnaire'. The main contents included: ①Social demography condition: The distributions of gender, age, nationality, etc. ②Previous history of disease: hypertension, diabetes mellitus, etc. ③Related risk factors: systolic blood pressure, diastolic blood pressure, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, smoking, drinking and glucose (GLU). The database of Epidata was transformed to SPSS database. Single-and multiple-factor non-conditional Logistic regression analysis were performed on the data, and OR value and 95% CI were calculated. The distribution differences of risk factors for two diseases were compared. MAIN OUTCOME MEASURES: Single- and multi-factor non-conditional Logistic regression analysis results of each factor of patients. RESULTS: Single-factor non-conditional Logistic regression analysis showed that statistical significance existed in gender, age, nationality, smoking, drinking, history of hypertension, history of diabetes mellitus, hypertension, triglyceride (TG), and GLU ten factors(OR =0.199, OR 95% CI 0.142-0.280 to OR =7.484, OR 95% CI 6.186-9.054, P < 0.01). ②The results of multiple-factor non-conditional Logistic regression analysis showed 8 factors including age, gender, smoking, hypertension, history of hypertension, history of diabetes mellitus, GLU and TG(OR =0.203, OR 95% CI 0.114-0.361 to OR =8.262,OR 95% CI 5.466- 12.491, P < 0.01). CONCLUSION: ICH and CHD are the diseases induced by various risk factors. Significant difference exists in gender, age, smoking, hypertension, history of hypertension, GLU, history of diabetes mellitus and TG. | Guohong Cui Yanfen Zhang Weijun Tong | 2007 | Neural Regeneration Research2007，2，9： | 1 |
| 13 | Synthesis of nanometric-size magnesium nitride by the nitriding of pre-activated magnesium powder显示文摘 | Shen Cui Shijian Liao Yuankui Zhang Yun Xu Yanfen Miao Min Lu Yinheng Fan Wensheng Guo | 1999 | Journal of Materials Science1999，，22： | 1 |
| 14 | Pelvic inflammatory disease:evaluation of diagnostic accuracy with conventional MR with added diffusion-weighted imaging显示文摘 | Wenhua Li Yuzhen Zhang Yanfen Cui | 2013 | Abdominal Imaging2013，38，1： | 1 |
| 15 | Synthesis of carbon dots with a tunable photoluminescence and their applications for the detection of acetone and hydrogen peroxide显示文摘Carbon dots(CDs) with multi-color emissive properties and a high photoluminescent quantum yield(PLQY) have attracted great attention recently due to their potential applications in chemical,environmental,biological and photo-electronic fields.Solvent-dependent effect in photoluminescence provides a facial and effective approach to tune the emission of CDs.In this study,green emissive nitrogen-doped carbon dots(N-CDs) are synthesized from p-hydroquinone and ethylenediamine through a simple hydrothermal method.The as-prepared N-CDs possess a robust excitation-independent green luminescence and a high PLQY of up to 15.9%.Further spectroscopic characterization indicates that the high PLQY is achieved by the balance of nitrogen doping states and the surface passivation extent in CDs.The N-CDs also exhibit solvent-dependent multi-color emissive property and distinct PLQY in different solvents(the maximum can reach up to 25.3%).Furthermore,the as-prepared N-CDs are applied as fluorescence probes to detect acetone and H2O2 in water.This method has exhibited a low detection limit of acetone(less than 0.1 %) and a quick and linear response to the H_2O_2 with the concentration from 0 to 120 μmol/L.This work broadens the knowledge of applying CDs as probes in the bio and chemical sensing fields. | Shitong Cui Yanfen Wu Yao Liu Qingwen Guan Yida Zhang Yilin Zhang Song Luo Meng Xu Juncheng Wang | 2020 | Chinese Chemical Letters2020，31，2： | 1 |
| 16 | The chemistry of heavy haze over Urumqi, Central Asia显示文摘 | Juan Li Guoshun Zhuang Kan Huang Yanfen Lin Qiongzhen Wang Yuhong Guo Jinghua Guo Shulong Yu Caixia Cui Joshua S. Fu | 2008 | Journal of Atmospheric Chemistry2008，，1： | 1 |
| 17 | Non-Local DWI Image Super-Resolution with Joint Information Based on GPU Implementation显示文摘Since the spatial resolution of diffusion weighted magnetic resonance imaging(DWI)is subject to scanning time and other constraints,its spatial resolution is relatively limited.In view of this,a new non-local DWI image super-resolution with joint information method was proposed to improve the spatial resolution.Based on the non-local strategy,we use the joint information of adjacent scan directions to implement a new weighting scheme.The quantitative and qualitative comparison of the datasets of synthesized DWI and real DWI show that this method can significantly improve the resolution of DWI.However,the algorithm ran slowly because of the joint information.In order to apply the algorithm to the actual scene,we compare the proposed algorithm on CPU and GPU respectively.It is found that the processing time on GPU is much less than on CPU,and that the highest speedup ratio to the traditional algorithm is more than 26 times.It raises the possibility of applying reconstruction algorithms in actual workplaces. | Yanfen Guo Zhe Cui Zhipeng Yang Xi Wu Shaahin Madani | 2019 | Computers, Materials & Continua2019，，9： | 0 |
| 18 | Water resource conservation promotes synergy between economy and environment in China’s northern drylands显示文摘Water resource availability is the major limiting factor for sustainable development in drylands.Climate change intensifies the conflicting water demands between people and the environment and highlights the importance of effective water resource management for achieving a balance between economic development and environmental protection.In 2008,Inner Mongolia,typical dryland in northern China,proposed strict regulations on water exploitation and utilization aimed at achieving sustainable development.Our study is the first to investigate the effectiveness and performance of these long-standing water conservation regulations.Our analyses found that the regulations drove industrial transformation,evidenced by the decreasing proportion of environmentally harmful industries such as coal and steel,and the increasing proportion of tertiary industries(especially tourism).Following industrial transformation,economic development decoupled from industrial water consumption and subsequently led to reduced negative environmental impacts.Based on these results,adaptive strategies were developed for 12 cities by revealing and integrating their development pathways and relative status in achieving sustainable development.Integration and cooperation between cities were proposed,e.g.,a water trade agreement between eastern Inner Mongolia(an economically underdeveloped region with relatively abundant water resources)and central Inner Mongolia(an economically developed region with high water stress).Such an agreement may enable the holistic achievement of sustainable development across regions.By integrating the findings of our research,our study presents a reproducible framework for water-management-based sustainable development strategies in drylands. | Yali Liu Jianqing Du Boyang Ding Yuexian Liu Wenjun Liu Anquan Xia Ran Huo Qinwei Ran Yanbin Hao Xiaoyong Cui Yanfen Wang | 2022 | Frontiers of Environmental Science & Engineering2022，16，3： | 0 |
| 19 | Make U-Net Greater: An Easy-to-Embed Approach to Improve Segmentation Performance Using Hypergraph显示文摘semantics information while maintaining spatial detail con-texts.Long-range context information plays a crucial role in this scenario.How-ever,the traditional convolution kernel only provides the local and small size of the receptivefield.To address the problem,we propose a plug-and-play module aggregating both local and global information(aka LGIA module)to capture the high-order relationship between nodes that are far apart.We incorporate both local and global correlations into hypergraph which is able to capture high-order rela-tionships between nodes via the concept of a hyperedge connecting a subset of nodes.The local correlation considers neighborhood nodes that are spatially adja-cent and similar in the same CNN feature maps of magnetic resonance(MR)image;and the global correlation is searched from a batch of CNN feature maps of MR images in feature space.The influence of these two correlations on seman-tic segmentation is complementary.We validated our LGIA module on various CNN segmentation models with the cardiac MR images dataset.Experimental results demonstrate that our approach outperformed several baseline models. | Jing Peng Jingfu Yang Chaoyang Xia Xiaojie Li Yanfen Guo Ying Fu Xinlai Chen Zhe Cui | 2022 | Computer Systems Science & Engineering2022，42，7： | 0 |
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