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| 1 | Phytoplankton composition and its ecological effect in subsurface cold pool of the northern Bering Sea in summer as revealed by HPLC derived pigment signatures显示文摘CHEMTAX analysis of high-performance liquid chromatography(HPLC) pigment was conducted to study phytoplankton community structure in the northern Bering Sea shelf, where a seasonal subsurface cold pool emerges. The results showed that fucoxanthin(Fuco) and chlorophyll a(Chl a) were the most abundant diagnostic pigments, with the integrated water column values ranging from 141 to 2 160 μg/m2 and 477 to 5 535 μg/m2, respectively. Moreover, a diatom bloom was identified at Sta. BB06 with the standing stock of Fuco up to 9 214 μg/m3. The results of CHEMTAX suggested that the phytoplankton community in the northern Bering Sea shelf was dominated by diatoms and chrysophytes with an average relative contribution to Chl a of 80% and 12%, respectively, followed by chlorophytes, dinoflagellates, and cryptophytes. Diatoms were the absolutely dominant algae in the subsurface cold pool with a relative contribution exceeding 90%, while the contribution of chrysophytes was generally higher in oligotrophic upper water. Additionally, the presence of a cold pool would tend to favor accumulation of diatom biomass and a bloom that occurred beneath the halocline would be beneficial to organic matter sinks, which suggests that a large part of the phytoplankton biomass would settle to the seabed and support a rich benthic biomass. | ZHUANG Yanpei JIN Haiyan LI Hongliang CHEN Jianfang WANG Bin CHEN Fajin BAI Youcheng LU Yong TIAN Shichao | 2014 | Acta Oceanologica Sinica2014，33，6： | 7 |
| 2 | 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 |
| 3 | Field test of HTS receivers on CDMA demonstration cluster in China显示文摘This paper presents the field test of our first demonstration cluster with five base stations (BTS) on code division multiple access (CDMA) wireless communication in China, while each BTS was installed with a high temperature superconductor (HTS) receiver. The HTS receivers have the same centre frequency of 830 MHz, a bandwidth of 13 MHz, and a noise figure (NF) of 0.9 dB. After the conventional receivers in the BTSs were replaced by the HTS receivers, a consequent drive test was carried out. A 2.35 dB decrease of the mean mobile transmit power was observed in the demonstration cluster. | WEI Bin GUO XuBo PIAO YunLong JIN ShiChao ZHANG XiaoPing GAO LongMa PENG HuiLi YIN ZheSheng CAO BiSong | 2009 | Chinese Science Bulletin2009，54，4： | 7 |
| 4 | 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 |
| 5 | Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing显示文摘Wheat yield and grain protein content(GPC)are two main optimization targets for breeding and cultivation.Remote sensing provides nondestructive and early predictions of yield and GPC,respectively.However,whether it is possible to simultaneously predict yield and GPC in one model and the accuracy and influencing factors are still unclear.In this study,we made a systematic comparison of different deep learning models in terms of data fusion,time-series feature extraction,and multitask learning.The results showed that time-series data fusion significantly improved yield and GPC prediction accuracy with R 2 values of 0.817 and 0.809. | Zhuangzhuang Sun Qing Li Shichao Jin Yunlin Song Shan Xu Xiao Wang Jian Cai Qin Zhou Yan Ge Ruinan Zhang Jingrong Zang Dong Jiang | 2022 | Plant Phenomics2022，4，1： | 4 |
| 6 | m6A RNA methylation-mediated HNF3γreduction renders hepatocellular carcinoma dedifferentiation and sorafenib resistance显示文摘Hepatocyte nuclear factor 3γ(HNF3γ)is a hepatocyte nuclear factor,but its role and clinical significance in hepatocellular carcinoma(HCC)remain unclear.Herein,we report that HNF3γexpression is downregulated in patient HCC and inversely correlated with HCC malignancy and patient survival.Moreover,our data suggested that the HNF3γreduction in HCC could be mediated by METTL14-dependent m6A methylation of HNF3γmRNA.HNF3γexpression was increased during hepatic differentiation and decreased in dedifferentiated HCC cells.Interestingly,HNF3γdelivery promoted differentiation of not only HCC cells but also liver CSCs,which led to suppression of HCC growth.Mechanistic analysis suggested an HNF3γ-centered regulatory network that includes essential liver differentiation-associated transcription factors and functional molecules,which could synergistically facilitate HCC cell differentiation.More importantly,enforced HNF3γexpression sensitized HCC cells to sorafenib-induced growth inhibition and cell apoptosis through transactivation of OATP1B1 and OATP1B3 expression,which are major membrane transporters for sorafenib uptake.Clinical investigation showed that patient-derived HCC xenografts with high HNF3γexpression exhibited a sorafenib response and patients with high HCC HNF3γlevels benefited from sorafenib therapy.Together,these results suggest that HNF3γplays an essential role in HCC differentiation and may serve as a therapeutic target and predictor of sorafenib benefit in patients. | Tengfei Zhou Shichao Li Daimin Xiang Junyu Liu Wen Sun Xiuliang Cui Beifang Ning Xiao Li Zhuo Cheng Weiqi Jiang Cheng Zhang Xijun Liang Liang Li Xin Cheng Liu Hui Hongyang Wang Jin Ding | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 4 |
| 7 | Functional up-regulation of Nav1.8 sodium channel on dorsal root ganglia neurons contributes to the induction of scorpion sting pain显示文摘BmK 我,从蝎子 Buthus martensi Karsch (BmK ) 的毒液净化了,是电压门钠隧道(VGSC ) 的一个受体 site-3-specific 调节的人并且能在老鼠导致疼痛相关的行为。tetrodotoxin 抵抗(TTX-R ) 钠隧道 Nav1.8 贡献大多数在背面的根 ganglia (DRG ) 位于行动潜力向上的一击下面的钠水流神经原并且可以用作 BmK 指向的一条批评离子隧道我。此处,使用 electrophysiological,分子、行为的途径,我们调查了在 DRG 的 Nav1.8 的异常表示是否贡献 BmK 导致的疼痛的产生我。Nav1.8 的表示被发现显著地在跟随 BmK 的 intraplantar 注射的 mRNA 和蛋白质层次被增加我在老鼠。另外, TTX-R Nav1.8 钠隧道的当前的密度显著地被增加, Nav1.8 的 gating 动力学也从 BmK 我对待老鼠在 DRG 神经原被改变。而且,自发的疼痛和机械 allodynia,然而并非热痛觉过敏由 BmK 导致了我,被它的选择 blocker A-803467 显著地通过 Nav1.8 钠隧道的任何一个封锁减轻或在由在老鼠指向 Nav1.8 的 antisense oligodeoxynucleotide (AS-ODN ) 的 DRG 的 Nav1.8 表示击倒。最后,我被给看导致的 BmK 提高了疼痛行为在里面完全的 freund 的助手(CFA ) 在 DRG 由于 Nav1.8 的在表示上部分煽动了老鼠,它是。我们的结果建议 DRG 神经原上的 Nav1.8 隧道的功能的起来规定在老鼠贡献 BmK 我导致疼痛的发展。 | Pin Ye Liming Hua Yunlu Jiao Zhenwei Li Shichao Qin Jin Fu Feng Jiang Tong Liu Yonghua Ji | 2016 | Acta Biochimica et Biophysica Sinica2016，48，2： | 3 |
| 8 | Effects of extrusion and enzymatic debranching on the structural characteristics and digestibility of corn and potato starches显示文摘Amylose content has a profound impact on the contents of slowly digestible starch and resistant starch.Enzymatic debranching is a safe method to increase the amylose content,however,the lower substrate concentration and high viscosity of fully gelatinized starch limit the efficiency and yield of this method.This paper aims to explore the effects of extrusion and enzymatic debranching on increasing the amylose content thereby increasing slowly digestible starch and resistant starch contents.Different starch concentrations (10%,15%,and 20%) of extruded corn starch (ECS) and extruded potato starch (EPS) were used to debranch.Both debranched ECS and debranched EPS showed high amylose content of approximately 90%,indicating that all samples with different starch concentrations achieved high-efficiency enzymatic debranching.The high-performance liquid chromatograph results indicated that the samples were mainly short amylose.The samples exhibit a typical B-type crystalline structure and the relative crystallinity of them exceeds 37%.The short amylose exhibited rapid rearrangement ability,with the gelatinization temperature range of rescanning determined as 80–125℃,this will facilitate the formation of slowly digestible starch and resistant starch.The slowly digestible starch and resistant starch contents of the samples (debranched ECS and debranched EPS) were between 23% and 30% and between 31% and 37%,respectively.These results indicate that the extrusion and enzymatic debranching of a high substrate concentration can efficiently increase the amylose content,thereby significantly reducing the digestibility of starch,and has broad prospects of the actual production of slowly digestible starch and resistant starch. | Qing Liu Yihui Wang Yueyue Yang Shichao Bian Xing Zhou Kunfu Zhu Lulian Xu Zhengyu Jin Aiquan Jiao | 2022 | Food Bioscience2022，47，3： | 2 |
| 9 | Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing显示文摘Accurate, efficient, and timely yield estimation is critical for crop variety breeding and management optimization. However, the contributions of proximal sensing data characteristics(spectral, temporal, and spatial) to yield estimation have not been systematically evaluated. We collected long-term, hypertemporal, and large-volume light detection and ranging(Li DAR) and multispectral data to(i) identify the best machine learning method and prediction stage for wheat yield estimation,(ii) characterize the contribution of multisource data fusion and the dynamic importance of structural and spectral traits to yield estimation, and(iii) elucidate the contribution of time-series data fusion and 3 D spatial information to yield estimation. Wheat yield could be accurately(R^(2)= 0.891) and timely(approximately-two months before harvest) estimated from fused Li DAR and multispectral data. The artificial neural network model and the flowering stage were always the best method and prediction stage, respectively. Spectral traits(such as CIgreen) dominated yield estimation, especially in the early stage, whereas the contribution of structural traits(such as height) was more stable in the late stage. Fusing spectral and structural traits increased estimation accuracy at all growth stages. Better yield estimation was realized from traits derived from complete 3 D points than from canopy surface points and from integrated multi-stage(especially from jointing to heading and flowering stages) data than from single-stage data. We suggest that this study offers a novel perspective on deciphering the contributions of spectral, structural, and timeseries information to wheat yield estimation and can guide accurate, efficient, and timely estimation of wheat yield. | Qing Li Shichao Jin Jingrong Zang Xiao Wang Zhuangzhuang Sun Ziyu Li Shan Xu Qin Ma Yanjun Su Qinghua Guo Dong Jiang | 2022 | The Crop Journal2022，10，5： | 2 |
| 10 | Missing data imputation by uti- lizing information within incomplete instances 显示文摘 | Zhang Shichao Jin Zhi Zhu Xiaofeng | 2011 | Journal of Sys- tems and Software2011，84，3： | 1 |
| 11 | Missing value estimation for mix ed-attribute data sets 显示文摘 | Zhu Xiaofeng Zhang Shichao Jin Zhi | 2011 | IEEE Transac- tions Knowledge Data Engineering2011，23，1： | 1 |
| 12 | Missing value estimation for mixed-attribute data sets 显示文摘 | Zhu Xiaofeng Zhang Shichao Jin Zhi | 2010 | IEEE Transac- tions on Knowledge & Data Engineering2010，23，1： | 1 |
| 13 | Seawater nutrient and chlorophyll α distributions near the Great Wall Station, Antarctica显示文摘We examined the influences upon nutrient, temperature, salinity and chlorophyll a distributions in Great Wall Cove(GWC) and Ardley Cove(AC), near the Chinese Antarctic Great Wall Station, using measurements taken in January 2013 and other recent data. Nutrient concentrations were high, with phosphate concentrations of 1.94(GWC) and 1.96(AC) μmol·L-1, DIN(dissolved inorganic nitrogen) concentrations of 26.36(GWC) and 25.94(AC) μmol·L-1 and silicate concentrations of 78.6(GWC) and 79.3(AC) μmol·L-1. However, average concentrations of chlorophyll a were low(1.29 μg·L-1, GWC and 1.08 μg·L-1, AC), indicating that this region is a high-nutrient and low-chlorophyll(HNLC) area. Nutrient concentrations of freshwater(stream and snowmelt) discharge into GWC and AC in the austral summer are low, meaning freshwater discharge dilutes the nutrient concentrations in the two coves. Strong intrusion of nutrient-rich water from the Bransfield Current in the south was the main source of nutrients in GWC and AC. Low water temperature and strong wind-induced turbulence and instability in the upper layers of the water column were the two main factors that caused the low phytoplankton biomass during the austral summer. | GAO Shengquan JIN Haiyan ZHUANG Yanpei JI Zhongqiang TIAN Shichao ZHANG Jingjing CHEN Jianfang | 2015 | Advances in Polar Science2015，26，1： | 1 |
| 14 | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives显示文摘Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise cultivation.High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits.Proximal and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis.Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications.This progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and traits.Subsequently,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association analysis.Finally,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication. | Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin | 2022 | Plant Communications2022，3，6： | 1 |
| 15 | Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes显示文摘Accurate estimates of forest aboveground biomass(AGB)are essential for global carbon cycle studies and have widely relied on approaches using spectral and structural information of forest canopies extracted from various remote sensing datasets.However,combining the advantages of active and passive data sources to improve estimation accuracy remains challenging.Here,we proposed a new approach for forest AGB modeling based on allometric relationships and using the form of power-law to integrate structural and spectral information.Over 60 km^(2) of drone light detection and ranging(LiDAR)data and 1,370 field plot measurements,covering the four major forest types of China(coniferous forest,sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and tropical broadleaf forest),were collected together with Sentinel-2 images to evaluate the proposed approach.The results show that the most universally useful structural and spectral metrics are the average values of canopy height and spectral index rather than their maximum values.Compared with structural attributes used alone,combining structural and spectral information can improve the estimation accuracy of AGB,increasing R^(2) by about 10%and reducing the root mean square error by about 22%;the accuracy of the proposed approach can yield a R^(2) of 0.7 in different forests types.The proposed approach performs the best in coniferous forest,followed by sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and then tropical broadleaf forest.Furthermore,the simple linear regression used in the proposed method is less sensitive to sample size and outperforms statistically multivariate machine learning-based regression models such as stepwise multiple regression,artificial neural networks,and Random Forest.The proposed approach may provide an alternative solution to map large-scale forest biomass using space-borne LiDAR and optical images with high accuracy. | Qiuli Yang Yanjun Su Tianyu Hu Shichao Jin Xiaoqiang Liu Chunyue Niu Zhonghua Liu Maggi Kelly Jianxin Wei Qinghua Guo | 2022 | Forest Ecosystems2022，9，5： | 0 |
| 16 | Application of an optical nitrate profiler to high-and low-turbidity coastal shelf waters显示文摘Here,we report the results of high-resolution nitrate measurements using an optical nitrate profiler(in situ ultraviolet spectrophotometer,ISUS)along transect across a high-turbidity shelf(East China Sea)and a low-turbidity shelf(Chukchi Sea).The ISUS-measured nitrate concentrations closely reproduced the results measured by conventional bottle methods in low-turbidity waters.However,for high-turbidity waters of the East China Sea(salinity<30),a correction factor of 1.19 was required to match the standard bottle measurements.The high-resolution ISUS data revealed subtle spatial variability(e.g.,a subsurface nitrate minimum)that may have been missed if based solely on bottle results.Four main structures of the nitracline on the East China Sea are apparent from the ISUS nitrate profile.High-resolution nitrate data are important for studying nitrate budgets and nutrient dynamics on continental shelves. | Yanpei Zhuang Yangjie Li Xizhen Liu Shichao Tian Bin Wang Zhongqiang Ji Haiyan Jin Jianfang Chen | 2023 | Acta Oceanologica Sinica2023，42，1： | 0 |
| 17 | High dietary lipid level promotes low salinity adaptation in the marine euryhaline crab(Scylla paramamosain)显示文摘The physiological processes involved in adaptation to osmotic pressure in euryhaline crustaceans are highly energy demanding,but the effects of dietary lipids(fat)on low salinity adaptations have not been well evaluated.In the present study,a total of 120 mud crabs(Scylla paramamosain,BW=17.87±1.49 g)were fed control and high-fat(HF)diets,at both medium salinity(23‰)and low salinity(4‰)for 6 wk,and each treatment had 3 replicates with each replicate containing 10 crabs.The results indicated that a HF diet significantly mitigated the reduction in survival rate,percent weight gain and feed efficiency induced by low salinity(P<0.05).Low salinity lowered lipogenesis and activated lipolysis resulting in lipid depletion in the hepatopancreas of mud crabs(P<0.05).Thus,HF diets enhanced the process of lipolysis to supply more energy.In the gills,low salinity and the HF diet increased the levels of mitochondrial biogenesis markers,the activity of mitochondrial complexes,and the expression levels of genes related to energy metabolism(P<0.05).Consequently,the positive effects of the HF diet on energy metabolism in mud crabs at low salinity promoted osmotic pressure regulation.Specifically,significantly higher haemolymph osmotic pressure and inorganic ion content,as well as higher osmotic pressure regulatory enzyme activity in gills,and gene and protein expression levels of NaK-ATPase were observed in crabs fed the HF diet at low salinity(P<0.05).In summary,high dietary lipid levels improved energy provision to facilitate mitochondrial biogenesis,which increased ATP provision for osmotic pressure regulation of mud crabs.This study also illustrates the importance of dietary lipid nutrition supplementation for low salinity adaptations in mud crabs. | Jiaxiang Luo Chen Ren Tingting Zhu Chen Guo Shichao Xie Yingying Zhang Zheng Yang Wenli Zhao Xiangsheng Zhang Jingjing Lu Lefei Jiao Qicun Zhou Douglas R.Tocher Min Jin | 2023 | Animal Nutrition2023，，1： | 0 |
| 18 | Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics显示文摘Forested environments feature a highly complex radiation regime,and solar radiation is hindered from penetrating into the forest by the 3D canopy structure;hence,canopy shortwave radiation varies spatiotemporally,seasonally,and meteorologically,making the radiant flux challenging to both measure and model. | Xinbo Xue Shichao Jin Feng An Huaiqing Zhang Jiangchuan Fan Markus P.Eichhorn Chengye Jin Bangqian Chen Ling Jiang Ting Yun | 2022 | Plant Phenomics2022，4，1： | 0 |
| 19 | Two dimensional MoS_(2) finding its way towards constructing high-performance alkaline recovery membranes显示文摘The available alkaline recovery membranes are currently dominated by polymeric materials,but they suffer from a permeation-selectivity trade-off and inferior chemical resistance.Robust two dimensional(2D) lamellar membranes with sub-nanometer wide channels are promising candidates for discerning OH^(-)and other anions.Here,we report the development of alkaline recycling membranes through stacking MoS_(2) nanosheets.Benefiting from the ordered and narrow 2D channels,MoS_(2) membranes show excellent alkaline recovery performances.The OH^(-)dialysis coefficient (U_(OH)-) and separation factor (S)towards simulated OH^(-) and WO_(4)^(2-) across the 500 nm thick MoS_(2) laminates reach 6.9×10^(-3)m·h^(-1)and 34.3 respectively.Furthermore,the chemical environments of MoS_(2) laminates were modulated by intercalating ionic poly(sodium 4-styrene sulfonate)(PSS@MoS_(2)).The U_(OH)-and S values of PSS@MoS_(2) membrane further improve to 11.7×10^(-3)m·h^(-1)and 49.8 respectively.Besides,both MoS_(2) and PSS@MoS_(2) membranes exhibit promising stability. | Xinxin Li Hongwei Shao Shichao Zhang Yong Li Jingjing Gu Qiang Huang Jin Ran | 2023 | Chinese Journal of Chemical Engineering2023，60，8： | 0 |
| 20 | m6A RNA methylation-mediated HNF3γ reduction rendershepatocellular carcinoma dedifferentiation and sorafenibresistance显示文摘Hepatocyte nuclear factor 3γ(HNF3γ)is a hepatocyte nuclear factor,but its role and clinical significance in hepatocellular carcinoma(HCC)remain unclear.Herein,we report that HNF3γexpression is downregulated in patient HCC and inversely correlated with HCC malignancy and patient survival.Moreover,our data suggested that the HNF3γreduction in HCC could be mediated by METTL14-dependent m6A methylation of HNF3γmRNA.HNF3γexpression was increased during hepatic differentiation and decreased in dedifferentiated HCC cells.Interestingly,HNF3γdelivery promoted differentiation of not only HCC cells but also liver CSCs,which led to suppression of HCC growth.Mechanistic analysis suggested an HNF3γ-centered regulatory network that includes essential liver differentiation-associated transcription factors and functional molecules,which could synergistically facilitate HCC cell differentiation.More importantly,enforced HNF3γexpression sensitized HCC cells to sorafenib-induced growth inhibition and cell apoptosis through transactivation of OATP1B1 and OATP1B3 expression,which are major membrane transporters for sorafenib uptake.Clinical investigation showed that patient-derived HCC xenografts with high HNF3γexpression exhibited a sorafenib response and patients with high HCC HNF3γlevels benefited from sorafenib therapy.Together,these results suggest that HNF3γplays an essential role in HCC differentiation and may serve as a therapeutic target and predictor of sorafenib benefit in patients. | Tengfei Zhou Shichao Li Daimin Xiang Junyu Liu Wen Sun Xiuliang Cui Beifang Ning Xiao Li Zhuo Cheng Weiqi Jiang Cheng Zhang Xijun Liang Liang Li Xin Cheng Liu Hui Hongyang Wang Jin Ding | 2021 | Signal Transduction and Targeted Therapy2021，6，1： | 0 |
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