|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The Ap-2α/Elk-1 axis regulates Sirpα-dependent tumor phagocytosis by tumor-associated macrophages in colorectal cancer显示文摘The inhibitory receptor signal regulatory protein-α(Sirpα)is a myeloid-specific immune checkpoint that engages the“don’t eat me”signal CD47,which is expressed on tumor and normal tissue cells.However,the profile and regulatory mechanism of Sirpαexpression in tumor-associated macrophages(TAMs)are still not clear.Here,we found that the expression of Sirpαin TAMs increased dynamically with colorectal cancer(CRC)progression.Mechanistically,CRC cell-derived lactate induced the nuclear translocation of the transcription factor Ap-2αfrom the cytoplasm in TAMs.Ap-2αfunctioned as a transcription factor for Elk-1 by binding to the conserved element GCCTGC located at−1396/−1391 in the mouse Elk-1 promoter.Subsequently,the Elk-1 protein bound to two conserved sites,CTTCCTACA(located at−229/−221)and CTTCCTCTC(located at−190/−182),in the mouse Sirpαpromoter and promoted Sirpαexpression in TAMs.Functionally,the macrophage-specific knockout of Ap-2αnotably promoted the phagocytic activity of TAMs and suppressed CRC progression,whereas these effects were prevented by the transgenic macrophage-specific expression of Elk-1,which regulated TAM phagocytosis and CRC development in a Sirpα-dependent manner.Furthermore,we showed that Elk-1 expression was positively correlated with Sirpαexpression in TAMs and was associated with poor survival in CRC patients.Taken together,our findings revealed a novel mechanism through which CRC evades innate immune surveillance and provided potential targets for macrophage-based immunotherapy for CRC patients. | Xiaojiao Wang Xi Luo Chuan Chen Ye Tang Lian Li Banghui Mo Houjie Liang Songtao Yu | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 2 |
| 2 | Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature显示文摘Precision prediction of machined surface roughness is challenging facing the robotic belt grinding of complex blade,since this process is accompanied by significant elastic deformation.The resulting poor prediction accuracy,to a great extent,is attributed to the existing prediction model which less considers the dynamics.In this paper,an improved scallop height model is developed to predict and assess the machined surface roughness by taking into account the elastic deformation and the varying curvature of blade,then robotic belt grinding experiments are carried out to evaluate the proposed model from the perspective of surface roughness.Finally factors that influence the scallop height are analyzed,and the suitable empirical equation of surface roughness is proposed to assess and predict the surface quality from the aspect of blade concave and convex surface by adopting the constant scallop height machining. | XU XiaoHu YE SongTao YANG ZeYuan YAN SiJie ZHU DaHu DING Han | 2021 | Science China(Technological Sciences)2021，64，5： | 2 |
| 3 | Molecular diagnosis and treatment of meningiomas:an expert consensus(2022)显示文摘Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations.The fifth edition of the WHO Classification of Tumors of the Central Nervous System(WHO CNS5),published in 2021,introduces major changes that advance the role of molecular diagnostics in meningiomas.To follow the revision of WHO CNS5,this expert consensus statement was formed jointly by the Group of Neuro-Oncology,Society of Neurosurgery,Chinese Medical Association together with neuropathologists and evidence-based experts.The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients. | Jiaojao Deng Lingyang Hua Liuguan Bian Hong Chen Ligang Chen Hongwei Cheng Changwu Dou Dangmurenjiapu Geng Tao Hong Hongming Ji Yugang Jiang Qing Lan Gang Li Zhixiong Liu Songtao Qi Yan Qu Songsheng Shi Xiaochuan Sun Hajun Wang Yongping You Hualin Yu Shuyuan Yue Jianming Zhang Xiaohua Zhang Shuo Wang Ying Mao Ping Zhong Ye Gong Group of Neuro-Oncology Society of Neurosurgery Chinese Medical Association | 2022 | Chinese Medical Journal2022，135，16： | 1 |
| 4 | A dual-functional BODIPY-based molecular rotor probe reveals different viscosity of protein aggregates in live cells显示文摘Aberrant protein aggregation leads to various human diseases,but little is known about the physical chemical properties of these aggregated proteins in cells.Herein,we developed a boron-dipyrromethene(BODIPY)-based HaloTag probe,whose conjugation to HaloTag-fused proteins allows us to study protein aggregates using both fluorescence intensity and lifetime.Modulation of BODIPY fluorophore reveals key structural features to attain the dual function.The optimized probe exhibits increased fluorescence intensity and elongated fluorescence lifetime in protein aggregates.Fluorescence lifetime imaging using this probe indicates that protein aggregates afford different viscosity in the forms of soluble oligomers and insoluble aggregates in live cells.The strategy presented in this work can be extended to enable a wide class of HaloTag probes that can be used to study a variety of physical properties of protein aggregates,thus helping unravel the pathogenic mechanism and develop therapeutic strategy. | Baoxing Shen Kwan Ho Jung Songtao Ye Conner A.Hoelzel Charles H.Wolstenholme He Huang Yu Liu Xin Zhang | 2023 | Aggregate2023，4，3： | 0 |
| 5 | When aggregation-induced emission meets protein aggregates显示文摘Protein misfolding and aggregation have been associated with a number of human diseases. As a multistep process(Fig. 1 a), protein unfolding yields misfolded intermediates as either monomers or oligomers, which evolve into insoluble aggregates as amorphous aggregates or amyloid-β fibrils. Detection of protein aggregates is of great interest as it could generate unprecedented insights into biogenesis, regulation and pathology of protein aggregation. | Sicheng Tang Songtao Ye Xin Zhang | 2021 | National Science Review2021，8，6： | 0 |
| 6 | Changes of arterial blood ketone body ratio following hypoperfusion in old and adult rats显示文摘Objective To evaluate the sensitivity of arterial ketone body ratio as an indicator for multiple organ failure.Materials and methods The experimental model of multiple organ failure was made in adult and old rats by hypoperfusion-induced hemorrhagic shock. After blood sampling, the arterial acetoacetate, β-hydroxybutyrate, total ketone body, ALT, AST, BUN, creatinine at 2, 4, 8 hr in hypoperfusion were examined to compare the differences of ketone body ratio and organ failure between adult and old rats. Hepatic and mitochondrial metabolism were assessed by comparing ketone body ratios (AcAc/β-OHB) and free NAD+/NADH ratios. Results Ketone body ratio in old rats at 2, 4, 8 hr after the induction of hemorrhagic shock decreased from 0.68 to 0.31, 0.27 and 0.22, respectively. In adult rats, it decreased from 1.12 to 0.17, 0.12 and 0.09, respectively. Changes of ketone body ratio in the adult group were larger than in the elderly group ( P < 0.001). The development of multiple organ failure is associated with the time of hemorrhagic shock development. Conclusions There was a different ketone body ratio between multiple organ failure in the elderly (MOFE) and multiple organ failure (MOF) in general adults. Ketone body ratio is a better indicator than ALT and AST in reflecting hepatic function in the early status of MOF. (J Geriatr Cardiol 2004;1(2) :125-128. ) | Ling YE Shiwen WANG Songtao YU Wei CHEN | 2004 | Journal of Geriatric Cardiology2004，1，2： | 0 |
| 7 | Belief Combination of Classifiers for Incomplete Data显示文摘Data with missing values,or incomplete information,brings some challenges to the development of classification,as the incompleteness may significantly affect the performance of classifiers.In this paper,we handle missing values in both training and test sets with uncertainty and imprecision reasoning by proposing a new belief combination of classifier(BCC)method based on the evidence theory.The proposed BCC method aims to improve the classification performance of incomplete data by characterizing the uncertainty and imprecision brought by incompleteness.In BCC,different attributes are regarded as independent sources,and the collection of each attribute is considered as a subset.Then,multiple classifiers are trained with each subset independently and allow each observed attribute to provide a sub-classification result for the query pattern.Finally,these sub-classification results with different weights(discounting factors)are used to provide supplementary information to jointly determine the final classes of query patterns.The weights consist of two aspects:global and local.The global weight calculated by an optimization function is employed to represent the reliability of each classifier,and the local weight obtained by mining attribute distribution characteristics is used to quantify the importance of observed attributes to the pattern classification.Abundant comparative experiments including seven methods on twelve datasets are executed,demonstrating the out-performance of BCC over all baseline methods in terms of accuracy,precision,recall,F1 measure,with pertinent computational costs. | Zuowei Zhang Songtao Ye Yiru Zhang Weiping Ding Hao Wang | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，4： | 0 |
| 8 | Targeting the ferroptosis crosstalk:novel alternative strategies for the treatment of major depressive disorder显示文摘Depression is a major contributor to poor global health and disability,with a recently increasing incidence.Although drug therapy is commonly used to treat depression,conventional antidepressant drugs have several disadvantages,including slow onset,low response rates and severe adverse effects.Therefore,developing effective therapies for depression remains challenging.Although various aetiological theories of depression exist,the underlying mechanisms of depression are complex,and further research is crucial.Moreover,oxidative stress(OS)-induced lipid peroxidation has been demonstrated to trigger ferroptosis.Both OS and ferroptosis are pivotal mechanisms implicated in the pathogenesis of neurological disorders,and investigation of the mediators involved in these processes has emerged as a prominent and active research direction.One previous study revealed that regulatory proteins involved in ferroptosis are implicated in the pathogenesis of depression,and antidepressant drugs could reverse depressive symptoms by inhibiting ferroptosis in vivo,suggesting an important role of ferroptosis in the pathogenesis of depression.Hence,our current comprehensive review offers an up-to-date perspective on the intricate mechanisms involved,specifically concerning ferroptosis and OS in the context of depression,along with promising prospects for using molecular mediators to target ferroptosis.We delineate the key targets of molecular mediators involved in OS and ferroptosis implicated in depression,most notably reactive oxygen species and iron overload.Considering the pivotal role of OS-induced ferroptosis in the pathogenesis of neurological disorders,delving deeper into the underlying subsequent mechanisms will contribute significantly to the identification of novel therapeutic targets for depression. | Luyao Wang Rongyang Xu Chengying Huang Guozhong Yi Zhiyong Li Huayang Zhang Rongxu Ye Songtao Qi Guanglong Huang Shanqiang Qu | 2023 | General Psychiatry2023，36，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员