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| 1 | SKIP Confers Osmotic Tolerance during Salt Stress by Controlling Alternative Gene Splicing in Arabidopsis显示文摘译解位于下面的机制种回答到不能生活的应力为改进植物压力抵抗是关键的。大部分在 transcriptional 水平响应盐应力对基因表示的规定被知道;然而,很少在 posttranscriptional 水平对这个过程被知道。最近,我们证明那个翻斗车是与钟基因 pre-mRNAs 交往并且为调整他们拼接的选择和 mRNA 成熟是必要的 spliceosome 的一个部件。在这研究,我们发现 skip-1 植物对盐和渗透的压力过分敏感,并且那个翻斗车为拼接的选择和几咸忍耐的基因的 mRNA 成熟被要求,包括 NHX1, CBL1, P5CS1, RCI2A,和 PAT10。染色体宽的分析表明那个翻斗车调停在咸压力的条件下面许多基因拼接的选择,和在 skip-1 的其他的拼接事件的那个大多数包含 intron 保留和罐头 generatea 在抄录 mRNA 的早熟的结束 codon。翻斗车也控制由 modulating 的其他的拼接 5 和 3 的识别或劈开拼接在咸压力的条件下面的施主和领受人地点。因此,这研究探讨的基本问题拼接的 mRNA 在植物的机械在 posttranscriptional 水平贡献咸压力的回答,并且提供在其他的拼接和盐忍耐之间的一个连接。 | Jinlin Feng dingjing Li Zhaoxu Gao Yaru Lu Junya Yu Qian Zheng Shuning Yan Wenjiao Zhang Hang He Ligeng Ma Zhengge Zhu | 2015 | Molecular Plant2015，8，7： | 10 |
| 2 | Glycerolipid Profiling of Yellow Sarson Seeds Using Ultra High Performance Liquid Chromatography Coupled to Triple Time-of-Flight Mass Spectrometry显示文摘Yellow sarson(Brassica rapa ssp. trillocularis) is an important rapeseed-mustard species of Brassica rapa due to its high seed oil content. Glycerolipids and fatty acid composition affect seed germination and determine the quality of seed oil. To date, no information is available on the composition of individual glycerolipids in this species. Therefore, in this study the glycerolipid profiling of yellow sarson seeds was performed using ultra high performance liquid chromatography coupled to triple time-of-flight mass spectrometry(UPLC-Triple-TOF-MS).A fast and efficient chromatographic separation of glycerolipids was accomplished based on an UPLCTMBEH C8 column within 22 min.In ESI positive ion mode, TOF-MS scan-information dependent acquisition-product ion scan was carried out to acquire both high resolution MS and MS/MS information from one injection. According to MS/MS spectra, predominant fragmentation patterns of glycerolipids were elucidated in detail. Based on retention time, accurate mass, isotopic distribution, and fragmentation patterns, the composition of 144 glycerolipids and fatty acids were finally identified in yellow sarson seeds, including 77 triacylglycerols, 32 diacylglycerols, 18sulfoquinovosyl-diacylglycerols, 5 monogalactosyl-diaclyglycerols, and 12 digalactosyl-diacylglycerols. Of them, the most abundant glycerolipids in yellow sarson seeds were triacylglycerols, the major storage form of seed oil in plants. In addition, diacylglycerols were found as a minor component of glycerolipids. The lowest amounts of glycerolipids detected in seeds were glycosyl-acylglycerols. The results revealed the composition and relative content of glycerolipids in yellow sarson seeds, which will provide a more comprehensive assessment of the quality of seed oil and also help to select functional cultivars with higher beneficial glycerolipids. This profiling method has the advantages of high throughput, high sensitivity and good accuracy, which will provide a reliable analysis platform for glycerolipids metabolism in plants. | ZHENG Shuning ZHANG Yanguo LIU Guangyang LV Jun LIU Zhongxiao XU Xiaomin LI Lingyun XU Donghui | 2017 | Horticultural Plant Journal2017，3，4： | 2 |
| 3 | ARIMA and Facebook Prophet Model in Google Stock Price Prediction显示文摘We use the Autoregressive Integrated Moving Average(ARIMA)model and Facebook Prophet model to predict the closing stock price of Google during the COVID-19 pandemic as well as compare the accuracy of these two models’predictions.We first examine the stationary of the dataset and use ARIMA(0,1,1)to make predictions about the stock price during the pandemic,then we train the Prophet model using the stock price before January 1,2021,and predict the stock price after January 1,2021,to present.We also make a comparison of the prediction graphs of the two models.The empirical results show that the ARIMA model has a better performance in predicting Google’s stock price during the pandemic. | Beijia Jin Shuning Gao Zheng Tao | 2022 | Proceedings of Business and Economic Studies2022，5，5： | 2 |
| 4 | Exome sequencing identifies rare mutations of LDLR and QTRT1 conferring risk for early-onset coronary artery disease in Chinese显示文摘Despite the advances made over the past decades,the known loci for coronary artery disease(CAD)still only explain<20%of the genetic variation in risk[1,2].The known loci with the strongest effects usually confer a 20%-37%increased CAD risk and the most loci modulate risk by≤10%[1].While most of the current data are from European populations,the use of trans-ethnic analyses could be helpful to identify additional loci.Genetic inheritance may impose a high burden on early-onset coronary artery disease(EOCAD). | Kang Yao Yuxiang Dai Juan Shen Yi Wang Huanjie Yang Runda Wu Qijun Liao Hongyi Wu Xiaodong Fang Shalaimaiti Shali Lili Xu Meng Hao Chenhao Lin Zhonghan Sun Yilian Liu Mengxin Li Zhen Wang Qiang Gao Shuning Zhang Chenguang Li Wei Gao Lei Ge Yunzeng Zou Aijun Sun Juying Qian Li Jin Shangyu Hong Yan Zheng Junbo Ge | 2022 | National Science Review2022，9，8： | 1 |
| 5 | Dual-excitation decoding multiparameter-based ratiometric luminescence thermometry:a new strategy toward reliable and accurate thermal sensing显示文摘Luminescence thermometry can perform noninvasive thermal sensing with high spatial resolution and fast response,emerging as an exciting field of research due to its promising applications in biomedicine.Nevertheless,because of the interaction between light and complex tissues,the reliability and the accuracy of this technique suffer serious interference,which significantly restricts its practical utilization.Here,a strategy to implement effective luminescence nanothermometry is preliminarily proposed by employing the different thermal responses between Yb^(3+)→Nd^(3+)and Nd^(3+)→Yb^(3+)energy transfer processes.Different from the traditional ratiometric sensing method,where two luminescence intensities are used as the thermal response parameters,we use two intensity ratios between Yb^(3+)and Nd^(3+)near-IR emissions that are obtained under dual excitation as the detecting and reference signals to perform temperature measurement.This multiparameter-based,self-reference thermometry technique,as we define it,exhibits excellent immunity to the influences arising from the fluctuation and loss of pumping sources as well as the luminescence attenuation in media.High thermal sensitivity(~2.2%K^(-1))and good resolution(~0.35°C)are successfully achieved here,accompanied by a measurement error of~1.1°C in a biological environment test,while large errors are observed based on the traditional ratiometric approach(~8.9°C,~23.2°C).We believe the viewpoint in this work could boost luminescence thermometry and provide an ingenious route toward high-performance thermal sensing for biological systems. | WEI XU SHUNING ZONG FENGKAI SHANG LONGJIANG ZHENG ZHIGUO ZHANG | 2022 | Photonics Research2022，10，11： | 0 |
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