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OsHIPP24 is a Copper Metallochaperone Which Affects Rice Growth
Chen Guoqiang,Shuo Xiong 한국식물학회 2021 Journal of Plant Biology Vol.64 No.2
Copper (Cu) is a trace mineral nutrient essential for plant growth; consequently, its uptake, trafficking, and redistribution are precisely controlled. Currently, little is known about the underlying regulatory mechanisms in rice. In this work, we identified OsHIPP24 as a Cu metallochaperone in rice. Heterologous expression of OsHIPP24 in wild-type yeast (Saccharomyces cerevisiae) strain BY4741 increased accumulation of Cu, as well as cadmium (Cd). OsHIPP24 was expressed constitutively in most tissues of rice, including root, stem, leaf, leaf sheath, internode, rachis, and spikelet, and particularly high in root stele along with the vascular bundle of the shoot. Overexpression or knockout of OsHIPP24 in rice led to stunted growth and reduced plant height, regardless of Cu levels in the growth medium. Taken together, these observations indicated that the physiological roles of OsHIPP24 involve the delivery of metal micronutrients via vascular tissues, and that OsHIPP24 plays a crucial role in the growth of rice.
Spectrum Analysis with Adaptive Precision for Space Vector Pulse Width Modulation
Guoqiang Chen,Jianli Kang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8
Aiming at the problem that the theoretical spectrum expression of the output voltage waveform in the space vector pulse width modulation strategy is often extremely complicated, most tedious and quite error-prone, the study develops a universal procedure and algorithm with adaptive precision to analyze the harmonic spectrum. The key steps and technique of the procedure and algorithm are given firstly. The algorithm steps include storing the switching states and the vector sequences, computing the basic space vector duration time, storing the duration time, sampling output voltage values and computing the spectrum using the fast Fourier transform algorithm. The sampling number doubles in each iteration for the next iteration. The adaptive precision is realized through controlling the amplitude or magnitude error between the current result and the previous result. The realization method and the key codes are presented secondly. Finally, three numerical experiments are presented to verify the developed algorithm, and the results verify its correctness, reliability and convenience.
Guoqiang Chen,Jianli Kang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
The spectrum of the random space vector pulse width modulation (SVPWM) strategy is extremely complicated due to the random variable. A new algorithm based on the Monte Carlo method is proposed to optimize and customize the frequency spectrum of the random SVPWM strategy. A universal theoretical spectrum computation method is given for the SVPWM strategy firstly. In addition, the key procedure of the proposed algorithm is presented. Finally, several computation examples are provided to verify the effectiveness and feasibility. The analysis and computation examples show that the proposed algorithm has several advantages, and the results verify its convenience and feasibility.
Harmonic Analysis of A Random Zero Vector Distribution Space Vector Pulse Width Modulation
Guoqiang Chen,Jianli Kang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
Aiming at complicated characteristic analysis and implementation of the randomization space vector pulse width modulation (SVPWM) scheme, a new random zero-vector SVPWM scheme with a fixed randomization range is proposed. The fixed range is a linear function of the modulation index. Firstly, the principle of the new scheme is given. In addition, the implicit modulating voltages, the derivation procedure of the micro and macro harmonic distortion factor (HDF) are presented in detail, and the Monte Carlo method is proposed to efficiently analyze the HDF. Finally, the harmonic spectrum of the new scheme is analyzed compared with the commonly used symmetrical 7-segment SVPWM scheme through an example, and the result verifies its excellent performance on suppressing the cluster harmonic magnitude around the integer multiple switching frequency.
BIAXIALLY ORIENTED POLYPROPYLENE FILM FOR AFM TIP CHARACTERIZATION
GUOQIANG HAN,YUQIN CHEN,BINGWEI HE 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.3
Atomic force microscopy (AFM) investigating the sample morphology is the process of directinteraction between tip and surface features. The geometry of probe tip is a determining factor incorrecting AFM images distorted by tip size itself. A quantitative knowledge of the current tipshape is needed to improve the reliability of AFM images. The biaxially oriented polypropylene(BOPP) ¯lm was fabricated and used as tip characterizer to estimate the morphology of AFM Sitip based on the blind reconstruction algorithm. The surface of the BOPP ¯lm was covered bynanometer-scale-sized structures which ensure that the tip pro¯le can be determined accurately. Without independent knowledge of the sample, the three-dimensional (3D) shape of Si probe tipwas obtained with high aspect ratio. BOPP ¯lm is not only a simple, cheap material but also asoft one which can also avoid tip damage in scanning. It was demonstrated reliable and suitablefor tip characterization.
Long noncoding RNA: multiple players in gene expression
( Xiaochang Chen ),( Yunmei Sun ),( Rui Cai ),( Guoqiang Wang ),( Xiaoyan Shu ),( Weijun Pang ) 생화학분자생물학회(구 한국생화학분자생물학회) 2018 BMB Reports Vol.51 No.6
Previously considered as a component of transcriptional noise, long noncoding RNAs (lncRNAs) were neglected as a therapeutic target, however, recently increasing evidence has shown that lncRNAs can participate in numerous biological processes involved in genetic regulation including epigenetic, transcriptional, and post-transcriptional regulation. In this review, we discuss the fundamental functions of lncRNAs at different regulatory levels and their roles in metabolic balance. Typical examples are introduced to illustrate their diverse molecular mechanisms. The comprehensive investigation and identification of key lncRNAs will not only contribute to insights into diseases, such as breast cancer and type II diabetes, but also provide promising therapeutic targets for related diseases. [BMB Reports 2018; 51(6): 280-289]
Cloning and Characterization of the IgA Fc Receptor from Swine
( Yumei Chen ),( Yunchao Liu ),( Gaiping Zhang ),( Hua Feng ),( Pengchao Ji ),( Guoqiang Wang ),( Chang Liu ),( Yapeng Song ),( Yunfang Su ),( Songlin Qiao ),( Aiping Wang ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.12
The myeloid-specific IgA Fc receptor (FcαR) is a cell surface molecule on immunocytes that provides a fundamental connection between humoral and cellular immunity. In this study, the full-length cDNA sequence of swine FcαRI (swFcαRI) was isolated and characterized and found to contain a 792-base-pair open reading frame, encoding a 264-amino-acid transmembrane glycoprotein with a predicted molecular mass of 29.4 kDa. The swFcαRI shares high amino acid sequence homology (>50%) with its counterparts from cattle, seal, and horse. Rosetting analysis confirmed that COS-7 cells transfected with an swFcαRI expression plasmid was able to combine with chicken erythrocytes sensitized with porcine IgA, but not IgG.
Xiangmin Chen,Guoqiang Shu,Kang Zhang,Meng Duan,Luping Li 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.3
The fault characteristics of rolling bearing with variable rotational speed are usually related to shafting speed and vary with time. Moreover, the rolling bearing fault characteristics are easily submerged by the noises. To address these issues, an adaptive time-varying comb filtering (ATVCF) method that combines the merits of comb filter and adaptive timevarying filtering (ATVF) is proposed and applied to extract the fault-related component from the envelope signal of rolling bearing. And on this basis, via the joint application of ATVCF and order tracking (OT), a fault characteristics extraction methodology for rolling bearing with variable rotational speed, namely ATVCF-OT, is developed. In the ATVCF-OT, the ATVCF method can adaptively extract time-varying harmonic components containing rolling bearing fault information from the rolling bearing fault vibration signal, and the OT analysis can effectively stabilize the time-varying rolling bearing fault features. Therefore, the ATVCF-OT methodology is particularly suitable for fault feature extraction of rolling bearing with variable rotational speed. Simulation and experimental results indicate that the ATVCF-OT method can effectively remove the fault-unrelated components and highlight the fault features of rolling bearing. The comparisons with the direct envelope order method and the ensemble empirical mode decomposition (EEMD)-based envelope order method demonstrate the advantages of the proposed ATVCF-OT method.