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CRISPR/Cas9技术编辑OsRhoGDI2基因导致水稻半矮化 被引量:5
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作者 王凯婕 安文静 +6 位作者 刘亚菲 刘迪 冯连杰 王俊杰 黄俊骏 刘肖飞 梁卫红 《生物工程学报》 CAS CSCD 北大核心 2020年第4期707-715,共9页
OsRhoGDI2是通过酵母双杂交从水稻幼穗中分离的一个与Rho蛋白家族成员OsRacD相互作用蛋白的编码基因,但功能尚不明确。本研究利用CRISPR/Cas9技术创制水稻OsRhoGDI2基因敲除突变体。检测结果表明,转基因水稻T0代获得2种纯合突变体,T1代... OsRhoGDI2是通过酵母双杂交从水稻幼穗中分离的一个与Rho蛋白家族成员OsRacD相互作用蛋白的编码基因,但功能尚不明确。本研究利用CRISPR/Cas9技术创制水稻OsRhoGDI2基因敲除突变体。检测结果表明,转基因水稻T0代获得2种纯合突变体,T1代获得8种纯合突变体。序列分析显示,在敲除水稻中,该基因的编辑靶点附近发生了碱基的替换或缺失,预期生成丧失RhoGDI保守结构域的截短蛋白。表型比对分析发现,敲除水稻与对照相比,株高显著降低,统计学分析结果显示,敲除水稻株高降低源于第Ⅱ和第Ⅲ茎节的缩短,提示OsRhoGDI2基因可能与水稻株高控制相关。 展开更多
关键词 CRISPR/Cas9技术 水稻 OsRhoGDI2 株高
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A novel approach for the optimal arrangement of tube bundles in a 1000-MW condenser 被引量:1
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作者 Jinju GUO Taoye YIN +10 位作者 Shuai WANG Wei CHEN Peiwang ZHU Kun LUO Yun KUANG Jie LIU junjun huang Bing HUO Hui WANG Chunlin ZHANG Jian WANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2023年第12期1140-1146,共7页
1Introduction The condenser plays a vital role in the operation of a thermal power generation unit.Its primary function is to remove the heat from the steam that is exhausted from the steam turbine,thereby condensing ... 1Introduction The condenser plays a vital role in the operation of a thermal power generation unit.Its primary function is to remove the heat from the steam that is exhausted from the steam turbine,thereby condensing the steam into water.Additionally,it establishes and maintains a specific degree of vacuum at the exhaust port of the steam turbine,facilitating efficient operation of the turbine(Keshvarparast et al.,2020).The vacuum degree of the condenser is affected by physical factors such as steam-side resistance and heat-transfer efficiency. 展开更多
关键词 VACUUM arrangement OPTIMAL
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Discovery of an enantiopure N-[2-hydroxy-3-phenyl piperazine propyl]-aromatic carboxamide derivative as highly selectiveα_(1D/1A)-adrenoceptor antagonist and homology modelling
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作者 junjun huang Ran Chen +8 位作者 Yajian huang Hang Zhang Anran Zheng Qing Xiao Dan Wu Ruxia Duan Zhi Zhou Fei He Wei Yi 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第11期435-441,共7页
α_(1)-Adrenergic receptor(AR)blockers can be effective for the treatment of benign prostatic hyperplasia/lower urinary tract symptoms(BPH/LUTS),their usage is limited by cardiovascular-related side effects that are c... α_(1)-Adrenergic receptor(AR)blockers can be effective for the treatment of benign prostatic hyperplasia/lower urinary tract symptoms(BPH/LUTS),their usage is limited by cardiovascular-related side effects that are caused by the subtype nonselective nature or low selectivity of many current drugs.We previously reported that phenylpiperazine analogues with amide and propane linker were moderateα_(1D/1A)adrenoceptor antagonists and exhibited better anti-BPH effect than lead compound naftopidil(NAF)in vivo,however,with modestα_(1D/1A)-subtype selectivity.Herein,we replaced propane moiety with2-hydroxypropanol linker and synthesized twenty-seven racemic derivatives with modified aromatic and hetero aromatic groups.Of these new compounds,quinoline surrogate 17 exhibited extremely weak antagonistic affinity onα_(1B)in both cell-based calcium assay and tissue-based functional assay,so that elicited significantα_(1A/1B)andα_(1D/1B)selectivity.Intriguingly,the R enantiomer of 17 preferentially displayed superior anti-BPH effect in rat model compared with S-17,supporting ligand regulates the receptor in a highly stereospecific manner.Finally,the computer-aided modelling research was also performed in order to deeply understand the unique binding mode of R-17 in complex withα_(1A)and the subtype receptor selectivity for R-17 was also rationalized in this study.Taken together,our work enriched the diversity of phenylpiperazines for the treatment of BPH/LUTS,and provided a basis for discovery ofα_(1D/1A)-selective ligands. 展开更多
关键词 Benign prostatic hyperplasia α_(1)-AR antagonist Phenylpiperazine Homology modelling Subtype selectivity
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Triboelectric signal waveform feature enhanced by magnetic fieldassisted strategy for human–machine interaction
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作者 junjun huang Wenlong Chen +6 位作者 Lei huang Zhuang Zhang Yuting Zong Hu Bian Tao Jiang Zhanyong Hong Zhong Lin Wang 《Nano Research》 2025年第12期1101-1112,共12页
Triboelectric nanogenerators(TENGs)represent a promising technology for next generation human–computer interaction.The effective enhancement of induced charges are critical factors that determine the recognition accu... Triboelectric nanogenerators(TENGs)represent a promising technology for next generation human–computer interaction.The effective enhancement of induced charges are critical factors that determine the recognition accuracy of TENGbased tactile sensors.Here,we propose a magnetic fieldassisted TENG device utilizing waveform feature enrichment strategies to significantly enhance the tactile recognition accuracy in natural environments.An elastic micro-nano structure was fabricated on a polydimethylsiloxane(PDMS)film via a facile templating method.Leveraging the inherent hydrophobicity and microscale surface roughness of PDMS,our device demonstrates stable and distinct waveform characteristics under natural operating conditions.Importantly,the introduction of a magnetic field generates a Lorentz force,which effectively modulates induced charges within the electrode,yet minimally affects triboelectric charges at the PDMS interface.This selective modulation induces an asymmetric charge distribution inside the electrode,substantially increasing the induced charge density,consequently,subtle waveform features are markedly enhanced.These enriched signal features play a crucial role in elevating material recognition accuracy.As a result,the sensor achieves a remarkable recognition accuracy of 99%when distinguishing among ten different materials under magnetic field assistance.This work provides valuable guidelines for advancing the performance and accuracy of TENG-based tactile sensing systems. 展开更多
关键词 triboelectric nanogenerator magnetic field human-machine interaction RECOGNITION signal characteristic
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Robust Decoding from Binary Measurements with Cardinality Constraint Least Squares
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作者 Zhao Ding junjun huang +2 位作者 Yuling Jiao Xiliang Lu Jerry Zhijian Yang 《Communications in Computational Physics》 2025年第10期1389-1416,共28页
The principal goal of 1-bit compressive sampling is to decode n-dimensional signals with a sparsity level of s from m binary measurements.This task presents significant challenges due to nonlinearity,noise,and sign fl... The principal goal of 1-bit compressive sampling is to decode n-dimensional signals with a sparsity level of s from m binary measurements.This task presents significant challenges due to nonlinearity,noise,and sign flips.In this paper,we propose the use of the cardinality-constrained least squares decoder as an optimal solution.We establish that,with high probability,the proposed decoder achieves a minimax estimation error,up to a constant c,as long as m≥O(slogn).In terms of computational efficiency,we employ a generalized Newton algorithm(GNA)to solve the cardinality-constrained minimization problem.At each iteration,this approach incurs the cost of solving a least squares problem with a small size.Through rigorous analysis,we demonstrate that,with high probability,theℓ¥norm of the estimation error between the output of GNA and the underlying target diminishes to O√logn/m after at most O(logs)iterations.Furthermore,provided that the target signal is detectable,we can recover the underlying support with high probability within O(logs)steps.To showcase the robustness of our proposed decoder and the efficiency of the GNA algorithm,we present extensive numerical simulations and comparisons with stateof-the-art methods. 展开更多
关键词 1-bit compressive sampling least square with cardinality constraint minimax estimation error generalized Newton algorithm support recovery
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Crystal structures, absolute configurations and molecular docking studies of naftopidil enantiomers as α1D-adrenoceptor antagonists
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作者 Wei Xu junjun huang +1 位作者 Renwang Jiang Mu Yuan 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2017年第4期496-501,共6页
Chiral drug naftopidil(NAF), a specific α1D-adrenoceptor(AR) antagonist for the treatment of benign prostatic hyperplasia, was used in racemic form for several decades. Our recent work declared that NAF enantiomers s... Chiral drug naftopidil(NAF), a specific α1D-adrenoceptor(AR) antagonist for the treatment of benign prostatic hyperplasia, was used in racemic form for several decades. Our recent work declared that NAF enantiomers showed the same antagonistic effects on the α1D-AR, but the binding mechanism of these two stereochemical NAF isomers to the α1D receptor remained unclear. Herein, we reported the crystallographic structures of optically pure NAF stereoisomers for the first time and unambiguously determined their absolute configurations. The crystal data of R and S enantiomers matched satisfactorily the pharmacophore model for α1D-selective antagonists. Based on the constructed α1D homology model,molecular docking studies shed light on the molecular mechanism of NAF enantiomers binding to α1D-AR. The results indicated that NAF enantiomers exhibited the very similar binding poses and occupied the same binding pocket. 展开更多
关键词 NAFTOPIDIL Crystal structure α1D-Adrenoceptor antagonists Binding mode Pharmacophore model
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Truncated L1 Regularized Linear Regression:Theory and Algorithm
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作者 Mingwei Dai Shuyang Dai +2 位作者 junjun huang Lican Kang Xiliang Lu 《Communications in Computational Physics》 SCIE 2021年第6期190-209,共20页
Truncated L1 regularization proposed by Fan in[5],is an approximation to the L0 regularization in high-dimensional sparse models.In this work,we prove the non-asymptotic error bound for the global optimal solution to ... Truncated L1 regularization proposed by Fan in[5],is an approximation to the L0 regularization in high-dimensional sparse models.In this work,we prove the non-asymptotic error bound for the global optimal solution to the truncated L1 regularized linear regression problem and study the support recovery property.Moreover,a primal dual active set algorithm(PDAS)for variable estimation and selection is proposed.Coupled with continuation by a warm-start strategy leads to a primal dual active set with continuation algorithm(PDASC).Data-driven parameter selection rules such as cross validation,BIC or voting method can be applied to select a proper regularization parameter.The application of the proposed method is demonstrated by applying it to simulation data and a breast cancer gene expression data set(bcTCGA). 展开更多
关键词 High-dimensional linear regression SPARSITY truncated L1 regularization primal dual active set algorithm
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