Over-expression of a DUF1644 protein gene, SIDP361, enhances tolerance to salt stress in transgenic rice

Min Li,Lijia Guo,Chiming Guo,Liangjiang Wang,Liang Chen 한국식물학회 2016 Journal of Plant Biology Vol.59 No.1

Salt stress has adverse effects on the growth and production of rice crops. In this study, we isolated and characterized SIDP361, which encodes a DUF1644 family protein. This gene was expressed in various rice tissues and was induced by high salt (200 mM NaCl), dehydration, and abscisic acid (100 µM ABA) treatments. Stable expression of SIDP361-GFP in rice cells suggested that SIDP361 is a cytoplasmic protein. When compared with the untransformed wild-type (WT) control, transgenic plants over-expressing SIDP361 exhibited significantly improved tolerance to salt stress at both the seedling and heading stages. Under salinity conditions, the transgenics also had elevated amounts of free proline. Moreover, transcript levels for genes encoding proline synthetase enzymes were significantly higher in transformants than in the WT. The transgenic lines were also hypersensitive to exogenous ABA. Quantitative real-time PCR analysis showed that transcription of several stressrelated genes was greater in SIDP361-overexpressing plants than in the WT under both normal and salt-stressed conditions. These results demonstrate that SIDP361 has high potential as a tool for genetically improving salt tolerance in rice.

Object Tracking with the Multi-Templates Regression Model Based MS Algorithm

Zhang, Hua,Wang, Lijia Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.6

To deal with the problems of occlusion, pose variations and illumination changes in the object tracking system, a regression model weighted multi-templates mean-shift (MS) algorithm is proposed in this paper. Target templates and occlusion templates are extracted to compose a multi-templates set. Then, the MS algorithm is applied to the multi-templates set for obtaining the candidate areas. Moreover, a regression model is trained to estimate the Bhattacharyya coefficients between the templates and candidate areas. Finally, the geometric center of the tracked areas is considered as the object's position. The proposed algorithm is evaluated on several classical videos. The experimental results show that the regression model weighted multi-templates MS algorithm can track an object accurately in terms of occlusion, illumination changes and pose variations.

Object tracking with the multi-templates regression model based MS algorithm

Hua Zhang,Lijia Wang 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.6

To deal with the problems of occlusion, pose variations and illumination changes in the object trackingsystem, a regression model weighted multi-templates mean-shift (MS) algorithm is proposed in this paper. Target templates and occlusion templates are extracted to compose a multi-templates set. Then, the MSalgorithm is applied to the multi-templates set for obtaining the candidate areas. Moreover, a regressionmodel is trained to estimate the Bhattacharyya coefficients between the templates and candidate areas. Finally,the geometric center of the tracked areas is considered as the object’s position. The proposed algorithm isevaluated on several classical videos. The experimental results show that the regression model weighted multitemplatesMS algorithm can track an object accurately in terms of occlusion, illumination changes and posevariations.

Adaptive Robust Control for a Class of Uncertain Neutral Systems with Time Delays and Nonlinear Uncertainties

Dequan Zhao,Yuchao Wang,Lijia Xu,Hansheng Wu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3

The problems of robust stabilization and adaptive robust controller design are considered for a class of uncertain neutral systems with time delays and nonlinear uncertainties. In this paper, Pade approximation is used to deal with input-delays, and the adaptation laws are proposed to estimate the norm of the unknown parameter uncertainties. Based on the improved Razumikhin-type theorem and the updated values, a class of delay-independent adaptive robust state feedback controllers is constructed to guarantee the uniform ultimate boundedness of uncertain neutral systems with input-delays and nonlinear uncertainties. Finally, the chemical two-stage dissolution tank is used to illustrate the effectiveness of the proposed method.

A Tumor-Specific Tissue-Penetrating Peptide Enhances the Efficacy of Chemotherapy Drugs in Gastric Cancer

Zhian Jin,Pujie Wang,Jie Chen,Li He,Lijia Xiao,Kaisen Yong,Shenglin Deng,Lin Zhou 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.5

Purpose: C-end rule (CendR) peptides are found to enhance the penetration of chemotherapeutic agents into tumor cells, whileGX1 is a peptide that homes to gastric cancer (GC) vasculature. This study aimed to synthesize a novel peptide GX1-RPAKPAR(GXC) and to explore the effect of GXC on sensitizing GC cells to chemotherapeutic agents. Materials and Methods: Intracellular Adriamycin concentration analysis was applied to conform whether GXC peptide increasesthe penetration of chemotherapeutic agents into GC cells in vitro. The effect of GXC peptide on sensitizing GC cells to chemotherapeuticswas validated by apoptosis assay and in vitro/vivo drug sensitivity assay. The specificity of GXC to GC tissue was validatedby ex vivo fluorescence imaging. Results: In vitro, administration of GXC significantly increased Adriamycin concentrations inside SGC-7901 cells, and enhancedthe efficacy of chemotherapeutic agents by decreasing the IC50 value. In vivo, FITC-GXC specifically accumulated in GC tissue. Moreover, systemic co-injection with GXC peptide and Adriamycin statistically improved the therapeutic efficacy in SGC-7901xenograft models, surprisingly, without obviously increasing side effects. Conclusion: These results demonstrated that co-administration of the novel peptide GXC with chemotherapeutic agents may bea potential way to enhance the efficacy of anticancer drugs in GC treatment.

Proteomics Analysis of Rice Proteins Up-regulated in Response to Bacterial Leaf Streak Disease

Dongxiao Li,Liangjiang Wang,Shaolei Teng,Guoguang Zhang,Lijia Guo,Qian Mao,Wei Wang,Min Li,Liang Chen 한국식물학회 2012 Journal of Plant Biology Vol.55 No.4

Bacterial leaf streak (BLS), caused by the pathogen Xanthomonas campestris pv. Oryzicola, is a major rice disease in tropical and subtropical regions of Asia. Rice proteins responsive to BLS are still not well characterized. We took a proteomics approach to identify the proteins that are up-regulated in rice leaves after infection. Approximately 1,500 protein spots were detected on each 2-D gel after silver-staining; those with increased protein levels were selected for MALDI-TOF-MS analysis. We identified 32 up-regulated proteins that might be involved in disease resistance signal transduction, pathogenesis, and regulation of cell metabolism. By using publicly available microarray data, we determined the mRNA transcripts of 23 proteins expressed in the leaves. Seven genes were analyzed by northern blots, which demonstrated that transcript levels were increased after bacterial infection. Our findings help elucidate the molecular mechanisms underlying BLS and provide a solid foundation for further research on the functions of relevant genes.

Iron interferes with quorum sensing-mediated cooperation in Pseudomonas aeruginosa by affecting the expression of ppyR and mexT, in addition to rhlR

Sun Feng,Li Na,Wang Lijia,Feng Huajun,Shen Dongsheng,Wang Meizhen 한국미생물학회 2020 The journal of microbiology Vol.58 No.11

The stabilization of quorum sensing (QS) is vital for bacterial survival in various environments. Although the mechanisms of QS stabilization in certain conditions have been well studied, the impact of environmental factors has received much less attention. In this study, we show that the supplementation of 25 μM iron in competition experiments and 50 μM in evolution experiments to casein growth cultures significantly increased the possibility of population collapse by affecting elastase production. However, the expression of lasI and lasR remained constant regardless of iron concentration and hence this effect was not through interference with the LasIR circuit, which mainly regulates the secretion of elastase in Pseudomonas aeruginosa. However, the expression of rhlR was significantly inhibited by iron treatment, which could affect the production of elastase. Further, based on both reverse transcription quantitative polymerase chain reaction and gene knock-out assays, we show that iron inhibits the transcription of ppyR and enhances the expression of mexT, both of which decrease elastase production and correspondingly interfere with QS stabilization. Our findings show that environmental factors can affect the genes of QS circuits, interfering with QS stabilization. These findings are not only beneficial in understanding the mechanistic effect of iron on QS stabilization, but also demonstrate the complexity of QS stabilization by linking non-QS-related genes with QS traits.

Feasibility of Three-Dimensional Balanced Steady-State Free Precession Cine Magnetic Resonance Imaging Combined with an Image Denoising Technique to Evaluate Cardiac Function in Children with Repaired Tetralogy of Fallot

Peng YaFeng,Su XinYu,Hu LiWei,Wang Qian,Ouyang RongZhen,Sun AiMin,Guo Chen,Yao XiaoFen,Zhang Yong,Wang LiJia,Zhong YuMin 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.9

Objective: To investigate the feasibility of cine three-dimensional (3D) balanced steady-state free precession (b-SSFP) imaging combined with a non-local means (NLM) algorithm for image denoising in evaluating cardiac function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods: Thirty-five patients with rTOF (mean age, 12 years; range, 7–18 years) were enrolled to undergo cardiac cine image acquisition, including two-dimensional (2D) b-SSFP, 3D b-SSFP, and 3D b-SSFP combined with NLM. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) of the two ventricles were measured and indexed by body surface index. Acquisition time and image quality were recorded and compared among the three imaging sequences. Results: 3D b-SSFP with denoising vs. 2D b-SSFP had high correlation coefficients for EDV, ESV, SV, and EF of the left (0.959– 0.991; p < 0.001) as well as right (0.755–0.965; p < 0.001) ventricular metrics. The image acquisition time ± standard deviation (SD) was 25.1 ± 2.4 seconds for 3D b-SSFP compared with 277.6 ± 0.7 seconds for 2D b-SSFP, indicating a significantly shorter time with the 3D than the 2D sequence (p < 0.001). Image quality score was better with 3D b-SSFP combined with denoising than with 3D b-SSFP (mean ± SD, 3.8 ± 0.6 vs. 3.5 ± 0.6; p = 0.005). Signal-to-noise ratios for blood and myocardium as well as contrast between blood and myocardium were higher for 3D b-SSFP combined with denoising than for 3D b-SSFP (p < 0.05 for all but septal myocardium). Conclusion: The 3D b-SSFP sequence can significantly reduce acquisition time compared to the 2D b-SSFP sequence for cine imaging in the evaluation of ventricular function in children with rTOF, and its quality can be further improved by combining it with an NLM denoising method.