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| 1 | Efficient genome editing in plants using a CRISPR/Cas system显示文摘 | Zhengyan Feng Botao Zhang Wona Ding Xiaodong Liu Dong-Lei Yang Pengliang Wei Fengqiu Cao Shihua Zhu Feng Zhang Yanfei Mao Jian-Kang Zhu | 2013 | Cell Research2013，23，10： | 211 |
| 2 | Generation and characterization of stable pig pregastrulation epiblast stem cell lines显示文摘Pig epiblast-derived pluripotent stem cells are considered to have great potential and broad prospects for human therapeutic model developme nt and livestock breeding.Despite on going attempts since the 1990s,no stably defined pig epiblast-derived stem cell line has bee n established.Here,guided by in sights from a large-scale sin gle-cell tran scriptome an alysis of pig embryos from embryonic day(E)0 to E14,specifically,the tracing of pluripotency changes during epiblast development,we developed an in vitro culture medium for establishing and maintaining stable pluripotent stem cell lines from pig E10 pregastrulation epiblasts(pgEpiSCs).Enabled by chemical inhibition of WNT-related signaling in combination with growth factors in the FGF/ERK,JAK/STAT3,and Activin/Nodal pathways,pgEpiSCs maintain their pluripotency transcriptome features,similar to those of E10 epiblast cells,and normal karyotypes after more than 240 passages and have the potential to differentiate into three germ layers.Strikingly,ultradeep in situ Hi-C analysis revealed functional impacts of chromatin 3D-spatial associations on the transcriptional regulation of pluripote ncy marker genes in pgEpiSCs.I n practice,we con firmed that pgEpiSCs readily tolerate at least three rounds of successive gene editi ng and gene rated cloned gen e-edited live piglets.Our findings deliver on the long-a nticipated promise of pig pluripote nt stem cells and open new avenues for biological research,animal husbandry,and regenerative biomedicine. | Minglei Zhi Jinying Zhang Qianzi Tang Dawei Yu Shuai Gao Dengfeng Gao Pengliang Liu Jianxiong Guo Tang Hai Jie Gao Suying Cao Zimo Zhao Chongyang Li Xiaogang Weng Mengnan He Tianzhi Chen Yingjie Wang Keren Long Deling Jiao Guanglei Li Jiaman Zhang Yan Liu Yu Lin Daxin Pang Qianqian Zhu Naixin Chen Jingjing Huang Xinze Chen Yixuan Yao Jingcang Yang Zicong Xie Xianya Huang Mengxin Liu Ran Zhang Qiuyan Li Yiliang Miao Jianhui Tian Xingxu Huang Hongsheng Ouyang Bofeng Liu Wei Xie Qi Zhou Zhonghua Liu Caihong Zheng Mingzhou Li Jianyong Han | 2022 | Cell Research2022，32，4： | 3 |
| 3 | A review of some methodological developments on full waveform inversion tackled in the SEISCOPE group显示文摘Full waveform inversion(FWI)is a data-fitting inverse problem aiming to delineate high-resolution quantitative images of the Earth.While its basic principle has been proposed in the eighties,the approach has been significantly developed and applied to2Dand 3Dproblems at various scales for the last fifteen years.Despite these successes,FWI is still facing some issues for applications in complex geological setups because of some lack of robustness and automatic workflow,while being computationally intensive.In this paper,after a short review of the basic FWI formulation and analysis of the FWI gradient,three recent methodological developments performed in the frame of the SEISCOPE project are presented.First,an algorithmic development is presented as a low-memory and computationally efficient approach for building the time-domain FWI gradient in 3Dviscous media.Second,a reformulation of FWI is performed to handle reflections in their tomography regime while still using the diving waves,leading to the joint full waveform inversion(JFWI)approach.Finally,an optimal transport approach is proposed as an alternative to the classical difference-based misfit for mitigating the cycle-skipping issue. | Romain BROSSIER Ludovic METIVIER Jean VIRIEUX YANG Pengliang ZHOU Wei | 2017 | 石油物探2017，56，1： | 2 |
| 4 | Inhibition of spore germination of Ulva pertusa by the marine bacterium Pseudoalteromonas haloplanktis CI4显示文摘The effect of the bacterial strain CI4 on the germination of spores from the green alga Ulva pertusa was assayed and it was found that the bacterial biofilm and cell-free supernatant strongly inhibited spore germination. In attempts to define the chemical nature of the antifouling substance in the supernatant of CI4,the culture supernatants were tested for activity after heat treatment,enzymatic treatments,size fractionation,and separation into aqueous and organic fractions. Results suggest that this bacterium produces an extracellular component with specific activity toward algal spores that was heat-sensitive and between 3 and 10 kDa in molecular size. The exposure of the organic phase fraction to spores showed inhibitive effect on spore germination. Pronase and carboxypeptidase y did not significantly affect the activity of inhibitory component,suggesting that the component was not a protein or a peptide. The bacterium CI4 was identified as Pseudoalteromonas haloplanktis based on the phenotypic characters and 16S rRNA gene analysis. | MA Yuexin LIU Pengliang ZHANG Yongsheng CAO Shanmao LI Dantong CHEN Wei | 2010 | Acta Oceanologica Sinica2010，29，1： | 1 |
| 5 | Effects of Clinker Contents of Different C_3A and C_4AF on the Performance of PSC Cement显示文摘Phosphogypsum-slag-clink (PSC) cement were prepared by original phosphogypsum(PG), which was grinded after dried at 60 ℃ combined with different contents of phosphogypsum (15%, 20%, 30%), and a small amount of different C3A, C4AF contents of finely ground cement clinker, and ground granulated blast furnace slag (GGBFS). Physical mechanical and sugaring properties were studied. The results show that compressive strength of PSC cement with 20% phosphogypsum at 3 d ages would be higher than 17 MPa and even 50 MPa at 28 days. Compressive strength at longer curing stage and sugaring properties of PSC with lower content of C3A higher C4AF clinker were improved. pH value of PSC cement system at early stage was relatively low, and pH gradually increased with the addition of clinker. pH increased firstly and then decreased with the hydration stage. SEM analyses showed that the amount of ettringite, which was influenced by pH and content of Al, must be controlled in PSC cement system, which may cause damage to microstructure or even expansive cracks if large amount of ettringite formed in hardened paste. | 万惠文 吴有武 CHEN Chao WEI Pengliang GAO Zhifei | 2013 | Journal of Wuhan University of Technology(Materials Science)2013，28，3： | 0 |
| 6 | Coffee Flower Identification Using Binarization Algorithm Based on Convolutional Neural Network for Digital Images显示文摘Crop-type identification is one of the most significant applications of agricultural remote sensing,and it is important for yield estimation prediction and field management.At present,crop identification using datasets from unmanned aerial vehicle(UAV)and satellite platforms have achieved state-of-the-art performances.However,accurate monitoring of small plants,such as the coffee flower,cannot be achieved using datasets from these platforms.With the development of time-lapse image acquisition technology based on ground-based remote sensing,a large number of small-scale plantation datasets with high spatial-temporal resolution are being generated,which can provide great opportunities for small target monitoring of a specific region.The main contribution of this paper is to combine the binarization algorithm based on OTSU and the convolutional neural network(CNN)model to improve coffee flower identification accuracy using the time-lapse images(i.e.,digital images).A certain number of positive and negative samples are selected from the original digital images for the network model training.Then,the pretrained network model is initialized using the VGGNet and trained using the constructed training datasets.Based on the well-trained CNN model,the coffee flower is initially extracted,and its boundary information can be further optimized by using the extracted coffee flower result of the binarization algorithm.Based on the digital images with different depression angles and illumination conditions,the performance of the proposed method is investigated by comparison of the performances of support vector machine(SVM)and CNN model.Hence,the experimental results show that the proposed method has the ability to improve coffee flower classification accuracy.The results of the image with a 52.5°angle of depression under soft lighting conditions are the highest,and the corresponding Dice(F1)and intersection over union(IoU)have reached 0.80 and 0.67,respectively. | Pengliang Wei Ting Jiang Huaiyue Peng Hongwei Jin Han Sun Dengfeng Chai Jingfeng Huang | 2020 | Plant Phenomics2020，2，1： | 0 |
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