LncRNA linc01194 promotes the progress of endometrial carcinoma by up-regulating SOX2 through binding to IGF2BP1

Zhenghao Huang,Fan Shen,Jingwen Chen,Bumin Xie,Xi Chen,Yang Zhao,Shuo Chen 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.2

Objective: Endometrial carcinoma (EC) is one of the most common gynecological malignanttumors. Our study showed that long non-coding RNA (lncRNA) linc01194 plays an importantrole in EC. We explored the mechanism of lncRNA linc01194 in EC. Methods: The expression of lncRNA linc01194 was detected in The Cancer Genome Atlasdatabase and starBase database. The potential targeted protein of linc01194 was predictedthrough the starBase database. To determine the role of linc01194 in EC, we downregulatedor upregulated the level of linc01194 in EC cell lines and analyzed the cell behaviors and thechanges of its potential target proteins. Results: The expression of linc01194 in EC tissues is higher than that in normal endometrialtissues. The knockdown of linc01194 inhibited the cell proliferation, invasion and migrationand promoted the apoptosis of EC cells, while overexpression of linc01194 promoted cellproliferation, invasion and migration and inhibited the apoptosis of EC cells. The starBasedatabase revealed that linc01194 could bind to insulin-like growth factor 2 binding protein 1(IGF2BP1). Previous results showed that in EC, IGF2BP1 could promote the expression of sex-determining region Y-box 2 (SOX2) by promoting the stability of SOX2 mRNA. Our resultsshowed that linc01194 regulate the expression of IGF2BP1 and SOX2. Conclusion: Linc01194 can promote the expression of downstream protein SOX2 throughbinding to IGF2BP1, thus promoting the occurrence and development of EC.

Driving safety analysis of various types of vehicles on long-span bridges in crosswinds considering aerodynamic interference

Yan Han,Jingwen Huang,C.S. Cai,Suren Chen,Xuhui He 한국풍공학회 2019 Wind and Structures, An International Journal (WAS Vol.29 No.4

Strong winds threaten the safety of vehicles on long-span bridges considerably, which could force traffic authorities to reduce speed limits or even close these bridges to traffic. In order to maintain the safe and economic operation of a bridge, a reasonable evaluation of the driving safety on that bridge is needed. This paper aims at carrying outdriving safety analyses for three types of vehicles on a long-span bridge in crosswinds by considering the aerodynamic interference between the bridge and the vehicles based on the wind-vehicle-bridge coupling vibration analysis. Firstly, CFD numerical simulations along with previously obtained wind tunnel testing results were used to determine the aerodynamic force coefficients of the three types of vehicles on the bridge. Secondly, the dynamic responses of the bridge and the vehicles under crosswinds were simulated, and based on those, the driving safety analyses for the three types of vehicles on the bridge were carried out for both cases considering and not considering the aerodynamic interference between the vehicles and the bridge. Finally, the effect of the aerodynamic interference on the safety of the vehicles was investigated. The results show that the aerodynamic interference between the bridge and the vehicles not only affects the accident critical wind speed but also the accident type for all three types of vehicles. Such effects are also different for each of the three types of vehicles being studied.

Synthesis and Functionalization of Copper-Doped Indium Phosphate Quantum Dots with Ratiometric Fluorescence

Bin Xu,Jingwen Xue,Jun Huang,Haojun Jin,Peng Shen,Qingjiang Sun 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.15 No.01

The doped quantum dots (QDs) that feature dual emission in one nanocrystal and long fluorescence lifetime have gained great interest in biosensing and bioimaging applications. In this work, we report the synthesis and functionalization of copper ion-doped indium phosphate (Cu:InP) QDs that exhibit simultaneous green InP emission and red Cu2+ emission. The oil-soluble QDs were synthesized by adsorbing Cu2+ onto InP core, followed by growing zinc selenide (ZnSe) shell via the successive ion layer adsorption reaction. During the synthesis, fluorescence ratiometry (and resultant multiple fluorescence colors) can be generated by changing either the dopant amount or the shell-growth time, but they act in a different manner: increasing the Cu2+ amount results in quenched InP emission and oppositely improved Cu2+ emission; the increase of shell-growth time leads to continuously improved Cu2+ emission relative to constant InP emission. Further, functionalization of the oil-soluble Cu:InP QDs with dihydrolipoic acid-polyethylene glycol (DHLA-PEG) via ligand exchange produces the water-soluble and biocompatible dual-emission QDs. The PEGylated Cu:InP QDs present desirable charge neutrality and excellent thermal stability and photostability, thereby holding high potential in a diversity of biomedical applications.

Direct Fermentation of Potato Starch in Wastewater to Lactic Acid by Rhizopus oryzae

Li Ping Huang,Bo Jin,Xianliang Qiao,Jingwen Chen,Paul Lant,Wence Sun 한국생물공학회 2004 Biotechnology and Bioprocess Engineering Vol.9 No.4

The fungal species of Rhizopus oryzae 2062 has the capacity to carry out a single stage fermentation process for lactic acid production from potato starch wastewater. Starch hydrolysis, reducing sugar accumulation, biomass formation, and lactic acid production were affected with variations in pH, temperature, and starch source and concentration. A growth condition with starch concentration approximately 20 g/L at pH 6.0 and 30oC was favourable for starch fermentation, resulting in a lactic acid yield of 78.3%85.5% associated with 1.52.0 g/L fungal biomass produced in 36 h of fermentation.

Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model

( Yan Liu ),( Bingxue Lv ),( Jingwen Wang ),( Wei Huang ),( Tiantian Qiu ),( Yunzhong Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5

Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.

Combined analysis and miRNA expression profiles of the flowering related genes in common wild rice (oryza rufipogon Griff.)

Jiao Wang,Yan Long,Jingwen Zhang,Mande Xue,Gege Huang,Ke Huang,Qianhua Yuan,Xinwu Pei 한국유전학회 2018 Genes & Genomics Vol.40 No.8

Common wild rice (Oryza rufipogon Griff.) is the most closely related ancestral species to Asian cultivated rice (Oryza sativa L.). It contains various valuable traits with regard to tolerance to cold, drought and salinity, flowering diversity and many quantitative trait loci with agronomic important traits. Flowering is one of the most important agronomic traits. However, flowering-related transcriptome and how to be regulated by miRNAs have not been estimated in O.rufipogon. To identify how the genes and miRNAs regulating flowering in O.rufipogon. Three O.rufipogon RNA libraries, two vegetative stages (CWRT-V1 and CWRT-V2) and one flowering stage (CWRT-F2) were constructed using leaves tissue and sequenced using Illumina deep sequencing. 27,405, 27,333, 28,979 unique genes were obtained after mapping to the reference genome from CWRT-V1, CWRT-V2 and CWRT-F2, respectively. Then differentially expressed genes (DEGs) were screened and got 1419 unique genes are likely to involve in flower development. Detailed information showed that MADS box and floral meristem identity genes, such as MADS 1, MADS14, Hd1 are involved in common wild rice. Then, combined analysis of miRNA and mRNA expression profiles was performed. Twenty three known miRNA-mRNA pairs and five new candidates were presented an anti-correlationship. Interestingly, 12 miRNAs were negatively correlated with 20 mRNAs encoding flowering-related proteins, indicating that miRNAs regulated target genes to promote flowering in CWRT-F2 group. The results provided here genomic resources for flowering related genes and how these flowering genes were regulated by miRNAs in common wild rice.