CircTRRAP (hsa_circ_0081234) participates in prostate cancer progression and glycolysis by HOXA1 via functioning as a miR‑515‑5p sponge

Li Zhihui,Guan Yawei,Teng Jingfei,Jia Zhuomin,Zhang Guohui,Ai Xing 한국응용생명화학회 2022 Applied Biological Chemistry (Appl Biol Chem) Vol.65 No.4

Dysregulated circular RNAs (circRNAs) are implicated in prostate cancer (PCa) progression. Hsa_circ_0081234 (circTRRAP) has been revealed as a facilitator in PCa, but the mechanisms associated with circTRRAP in PCa progression are largely unclear. The present study was to explore the regulatory mechanism of circTRRAP-mediated PCa progression. A total of 50 PCa tissues and normal tissues were collected. RNA levels of circTRRAP, microRNA (miR)-515-5p and homeobox A1 (HOXA1) were detected by quantitative real-time polymerase chain reaction (qRT-PCR) or western blot. Cell viability, proliferation, migration, and invasion were estimated using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide, 5-ethynyl-2ʹ-deoxyuridine (EdU) and transwell assays, respectively. Cell glycolysis was assessed by measuring glucose uptake and lactate production. The target interaction between circTRRAP or HOXA1 and miR-515-5p was investigated by the dual-luciferase reporter assay. We observed the overt upregulaiton of circTRRAP in PCa samples and cells. Silencing of circTRRAP lowered tumor growth in vivo and restrained PCa cell viability, proliferation, migration, invasion, and glycolysis in vitro. miR-515-5p was negatively regulated by circTRRAP and its deficiency reversed the inhibiting effects of circTRRAP knockdown on PCa cell malignancy and glycolysis. HOXA1 was confirmed as a miR-515-5p target and miR-515-5p overexpression lessened PCa cell malignancy and glycolysis by decreasing HOXA1 expression. Importantly, circTRRAP mediated HOXA1 expression by functioning as a miR-515-5p sponge. In conclusion, circTRRAP took part in PCa progression and glycolysis through mediating the miR-515-5p/HOXA1 axis, suggesting that circTRRAP can serve as a potential therapeutic target for PCa patients.

MIGSHIELD: A new model-based interactive point kernel gamma ray shielding package for virtual environment

Li Mengkun,Xu Zhihui,Li Wei,Yang Jun,Yang Ming,Hongxin Lu,Dai Xinyu 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.7

In this paper, 3D model-based interactive gamma ray shielding package (MIGSHIELD) is developed in virtual reality platform for windows operating system. In MIGSHIELD, the computational methodology is based on point kernel algorithm (PK), several key parameters of PK are obtained using new technique and new methods. MIGSHIELD has interactive capability with virtual world. The main features made in the MIGSHIELD are (i) handling of physical information from virtual world, (ii) handling of arbitrary shapes radioactive source, (iii) calculating the mean free path of gamma ray, (iv) providing interactive function between PK and virtual world, (v) making better use of PK for virtual simulation, (vi) plug and play. The developed package will be of immense use for calculations involving radiation dose assessment in nuclear safety and contributing to fast radiation simulation for virtual nuclear facilities.

On Layout Planning of Villages in Polder Area

Zhihui Li 대한지리학회 2011 대한지리학회 컨퍼런스 자료집 Vol.- No.6

A GPU-based point kernel gamma dose rate computing code for virtual simulation in radiation-controlled area

Zhihui Xu,Mengkun Li,Bowen Zou,Ming Yang Korean Nuclear Society 2023 Nuclear Engineering and Technology Vol.55 No.6

Virtual reality technology has been widely used in the field of nuclear and radiation safety, dose rate computing in virtual environment is essential for optimizing radiation protection and planning the work in radioactive-controlled area. Because the CPU-based gamma dose rate computing takes up a large amount of time and computing power for voxelization of volumetric radioactive source, it is inefficient and limited in its applied scope. This study is to develop an efficient gamma dose rate computing code and apply into fast virtual simulation. To improve the computing efficiency of the point kernel algorithm in the reference (Li et al., 2020), we design a GPU-based computing framework for taking full advantage of computing power of virtual engine, propose a novel voxelization algorithm of volumetric radioactive source. According to the framework, we develop the GPPK(GPU-based point kernel gamma dose rate computing) code using GPU programming, to realize the fast dose rate computing in virtual world. The test results show that the GPPK code is play and plug for different scenarios of virtual simulation, has a better performance than CPU-based gamma dose rate computing code, especially on the voxelization of three-dimensional (3D) model. The accuracy of dose rates from the proposed method is in the acceptable range.

Multiple Framework QoE Model based Energy Efficient Transmission Strategy in LTE Networks

Ge Zhihui,Tang Liping,Li Taoshen,Li Qinghua 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.8

Wireless technology is continuously evolving, and the development of new versions of adaptive protocols and mechanisms are at their peak to achieve high performance in network-based applications and services. LTE networks offer broadband wireless access to users who can benefit from high data rate applications such as video streaming. However, the high energy consumption of these applications has not been considered. The end user quality of experience (QoE) of video delivery over a radio network is mainly influenced by the radio parameters in the radio access network. This paper will present a multiple framework QoE model for video delivery over LTE, denoted as MQoE that measures the overall perceived quality of mobile video delivery from subjective user experience and objective system performance. We propose a QoE-based energy efficient mechanism to reduce smartphones’ power consumption. We have done a series of experiments to verify the efficiency of this model. Experiment results show that MQoE has significant improvement at energy efficiency

An Optimized CLBP Descriptor Based on a Scalable Block Size for Texture Classification

( Jianjun Li ),( Susu Fan ),( Zhihui Wang ),( Haojie Li ),( Chin-chen Chang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.1

In this paper, we propose an optimized algorithm for texture classification by computing a completed modeling of the local binary pattern (CLBP) instead of the traditional LBP of a scalable block size in an image. First, we show that the CLBP descriptor is a better representative than LBP by extracting more information from an image. Second, the CLBP features of scalable block size of an image has an adaptive capability in representing both gross and detailed features of an image and thus it is suitable for image texture classification. This paper successfully implements a machine learning scheme by applying the CLBP features of a scalable size to the Support Vector Machine (SVM) classifier. The proposed scheme has been evaluated on Outex and CUReT databases, and the evaluation result shows that the proposed approach achieves an improved recognition rate compared to the previous research results.

Maternal nutrition altered embryonic MYOD1, MYF5, and MYF6 gene expression in genetically fat and lean lines of chickens

Li Feng,Yang Chunxu,Xie Yingjie,Gao Xiang,Zhang Yuanyuan,Ning Hangyi,Liu Guangtao,Chen Zhihui,Shan Anshan 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.8

Objective: The objectives of this study were to evaluate the effects of daily feed intake during the laying period on embryonic myogenic differentiation 1 (MYOD1), myogenic factor 5 (MYF5), and myogenic factor 6 (MYF6) gene expression in genetically fat and lean lines of chickens. Methods: An experiment in a 2×2 factorial design was conducted with two dietary intake levels (100% and 75% of nutrition recommendation) and two broiler chicken lines (fat and lean). Two lines of hens (n = 384 for each line) at 23th week of age were randomly divided into 4 treatments with 12 replicates of 16 birds. The experiment started at 27th week of age (5% egg rate) and ended at 54th week of age. Hatched eggs from the medium laying period were collected. Real time polymerase chain reaction analysis was used to analyse the MYOD1, MYF5, and MYF6 mRNA levels of E7, E9, E11, E13, and E15 body tissues and E17, E19, and E21 chest and thigh muscle samples. Results: The results indicated that there were significant effects of line, dietary intake, and interactions between them on MYOD1, MYF5, and MYF6 gene mRNA expression levels in embryonic tissues. Low daily feed intake did not change the expression trend of MYOD1 mRNA in either line, but changed the peak values, especially in lean line. Low daily feed intake altered the trend in MYF5 mRNA expression level in both lines and apparently delayed its onset. There was no apparent effect of low daily feed intake on the trends of MYF6 mRNA expression levels in either line, but it significantly changed the values on many embryonic days. Conclusion: Maternal nutrient restriction affects myogenesis and is manifested in the expression of embryonic MYOD1, MYF5, and MYF6 genes. Long term selection for fat deposition in broiler chickens changes the pattern and intensity of myogenesis. Objective: The objectives of this study were to evaluate the effects of daily feed intake during the laying period on embryonic myogenic differentiation 1 (<i>MYOD1</i>), myogenic factor 5 (<i>MYF5</i>), and myogenic factor 6 (<i>MYF6</i>) gene expression in genetically fat and lean lines of chickens.Methods: An experiment in a 2×2 factorial design was conducted with two dietary intake levels (100% and 75% of nutrition recommendation) and two broiler chicken lines (fat and lean). Two lines of hens (n = 384 for each line) at 23th week of age were randomly divided into 4 treatments with 12 replicates of 16 birds. The experiment started at 27th week of age (5% egg rate) and ended at 54th week of age. Hatched eggs from the medium laying period were collected. Real time polymerase chain reaction analysis was used to analyse the <i>MYOD1</i>, <i>MYF5</i>, and <i>MYF6</i> mRNA levels of E7, E9, E11, E13, and E15 body tissues and E17, E19, and E21 chest and thigh muscle samples.Results: The results indicated that there were significant effects of line, dietary intake, and interactions between them on <i>MYOD1</i>, <i>MYF5</i>, and <i>MYF6</i> gene mRNA expression levels in embryonic tissues. Low daily feed intake did not change the expression trend of <i>MYOD1</i> mRNA in either line, but changed the peak values, especially in lean line. Low daily feed intake altered the trend in <i>MYF5</i> mRNA expression level in both lines and apparently delayed its onset. There was no apparent effect of low daily feed intake on the trends of <i>MYF6</i> mRNA expression levels in either line, but it significantly changed the values on many embryonic days.Conclusion: Maternal nutrient restriction affects myogenesis and is manifested in the expression of embryonic <i>MYOD1</i>, <i>MYF5</i>, and <i>MYF6</i> genes. Long term selection for fat deposition in broiler chickens changes the pattern and intensity of myogenesis.

Camera Source Identification of Digital Images Based on Sample Selection

( Zhihui Wang ),( Hong Wang ),( Haojie Li ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.7

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

Development, characterization, genetic diversity and cross-species/genera transferability of ILP markers in rubber tree (Hevea brasiliensis)

Dejun Li,Zhihui Xia,Zhi Deng,Xianghong Liu,Fuying Feng 한국유전학회 2013 Genes & Genomics Vol.35 No.6

To construct a linkage map enriched with tapping panel dryness (TPD)-related markers, we firstly utilized rubber tree ESTs associated with TPD to develop intron length polymorphism (ILP) markers. In this study,52 new ILP markers were further developed. Together with the ILP markers previously reported, 102 ILP markers developed from TPD-related ESTs were analyzed within 39 Hevea germplasm in detail. The PCR success rate and polymorphism rate of ILP markers was 97.06 and 61.62 %,respectively. The results based on PCR amplification and sequence analyses provided the evidences on cross-species/genera transferability of rubber tree ILP markers. The average polymorphic information content (PIC) values of 39 Hevea germplasm were about 0.1719, indicating that the genetic base of Hevea germplasm selected in this study was very narrow. Among 39 Hevea germplasm, the PIC value of wild rubber tree accessions was the highest, followed by Hevea species and cultivated rubber tree clones. Based on the similarity coefficient of ILP markers, 39 Hevea germplasm were divided into three groups including cultivated clones, wild accessions and Hevea species, suggesting that the classification was generally related to the characterization of Hevea germplasm. The ILP markers developed in this study further enriches the number of molecular marker in rubber tree, and the ILP markers will have a wide application in DNA fingerprinting, genetic diversity, marker-assisted selection and genetic mapping, etc. Moreover,the ILP markers transferred cross-euphorbiaceae family might be utilized in cassava, castor bean and physic nut.

Overexpression of ARO10 in pdc5ΔMutant Resulted in Higher Isobutanol Titers in Saccharomyces cerevisiae

Jingzhi Li,Ruiqi Feng,Zhihui Wen,Aili Zhang 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.4

To investigate effects of different pyruvate decarboxylases on isobutanol titers in Saccharomyces cerevisiae, single-gene deletion of the three PDCs genes encoding pyruvate decarboxylases were constructed in this study. In addition, we over-expressed Ilv2, which catalyzed the first step in the valine synthetic pathway, and Bat2, which was the cytoplasmic branched-chain amino-acid aminotransferase that catalyzed L-valine to 2-ketoisovalerate, to increase isobutanol production in the genetically modified strains. Our results showed that knockout of PDC5 were one of the main factors among the three PDC genes for improving isobutanol titers in S. cerevisiae. Additionally, we found that deletion of PDC5 in strain carrying overexpressed ILV2 and ARO10 resulted in 8-fold higher isobutanol productivity as compared to the control strain in micro-aerobic fermentations. Our results also suggested that engineered strain pdc5ΔpILV2 pARO10 generated lower ethanol titers and higher acetate acid titers than the control strain, while the growth rate and glucose consumption rate of engineered strain pdc5ΔpILV2 pARO10 were slightly lower than that of the control strain. Meanwhile, the biomass concentration of pdc5ΔpILV2 pARO10 decreased dramatically than that of the control strain.