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CDK1 promotes the phosphorylation of KIFC1 to regulate the tumorgenicity of endometrial carcinoma
Xi Lin,Kening Zhou,Yiming Liu,Huihao Zhou,Xiaomin Xu,Jingui Xu,Kening Zhou 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.5
Objective: This study aims to clarify the mechanical action of cyclin-dependent proteinkinase 1 (CDK1) in the development of endometrial carcinoma (EMCA), which may beassociated with the phosphorylation of kinesin family member C1 (KIFC1) and furtheractivate the PI3K/AKT pathway. Methods: The protein and gene expression of CDK1 in EMCA tissues and tumor celllines were evaluated by western blot, quantitative polymerase chain reaction, andimmunohistochemistry staining. Next, Cell Counting Kit-8 and colony formation assaydetected cell survival and proliferation. Cell migration and invasion were measuredby Transwell assay. Cell apoptosis and cell cycle were tested by flow cytometry. Immunofluorescence staining of γH2AX was used to evaluate DNA damage, respectively. Subsequently, a co-immunoprecipitation assay was used to detect the interaction betweenCDK1 and KIFC1. The phosphorylated protein of KIFC1 and PI3K/AKT was detected bywestern blot. Finally, the effect of CDK1 on the tumor formation of EMCA was evaluated in anude mouse xenograft model. Results: CDK1 was highly expressed in EMCA tumor cell lines and tissues, which contributedto cell survival, proliferation, invasion, and migration, inhibited cell apoptosis, and inducedDNA damage of EMCA cells dependent on the phosphorylation of KIFC1. Moreover, theCDK1-KIFC1 axis further activated PI3K/AKT pathway. Finally, CDK1 knockdown repressedtumor formation of EMCA in vivo. Conclusion: We report that increased CDK1 promotes tumor progression and identified it asa potential prognostic marker and therapeutic target of EMCA.
Energy informatics: Fundamentals and standardization
Biyao Huang,Xiaomin Bai,Zhenyu Zhou,Quansheng Cui,Daohua Zhu,Ruwei Hu 한국통신학회 2017 ICT Express Vol.3 No.2
Based on international standardization and power utility practices, this paper presents a preliminary and systematic study on the field of energy informatics and analyzes boundary expansion of information and energy system, and the convergence of energy system and ICT. A comprehensive introduction of the fundamentals and standardization of energy informatics is provided, and several key open issues are identified.
Enhanced Online Strip Crown Prediction Model Based on KCGAN-ELM for Imbalanced Dataset
Xiaoke Hu,Xiaomin Zhou,Hongfei Liu,Hechuan Song,Shuaikun Wang,Hongjia Zhang 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.25 No.8
The strip crown directly affects the quality of strip steel. To enhance online crown control and product quality, an accurate and efficient strip crown prediction model is crucial. The accuracy of the prediction model is determined by the algorithm and dataset used in the modeling process. The accuracy can be enhanced by increasing algorithm complexity but it does not meet the requirements of online applications. Besides, the datasets collected for strip crown prediction are usually imbalanced, which impacts the modeling accuracy. In this paper, an enhanced strip crown prediction model based on KCGAN-ELM is established. A new hybrid algorithm KCGAN is proposed to deal with the imbalanced datasets. ELM is used to establish the strip crown prediction model. To meet the requirements of online applications, incremental learning is introduced, enabling the prediction model to update in real-time based on new production data. On this basis, an update strategy is devised to ensure the prediction model can maintain qualified prediction ability during the updating process. The experiment results indicate that the model trained with the dataset processed by KCGAN demonstrates a significantly enhanced prediction accuracy, achieving an RMSE of 2.86 μm and an R2 value of 0.97. The proposed update strategy enhances the stability of prediction capability during the model updating process.
Bowen Tan,Yijie Zhou,Zhilei Song,Yinxuan Peng,Fang Wu,Yue Kang,Xiaomin Liu,Li Zeng,Tingting Huang,Zongying Liu,Lili Xiong,Zhiyun Guo,Jian Cui,Canquan Mao 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.9
Membrane type-1 matrix metalloproteinase (MT1-MMP; also known as MMP14) is a key enzyme involved in tumor invasion and metastasis, and is a potential target for drug discovery for cancer therapy. However, till now there is no MT1-MMP- or MMP-based anticancer drugs in the market mainly because of the high conservation of the MMP family and also because there is no elucidated crystal structure for the mature MT1-MMP. The modeling of the three-dimensional structure of mature MT1-MMP and the finding of MT1-MMP targeted peptides by virtual screening are highly desired. In this study, the three-dimensional structure of mature MT1-MMP is constructed by homology and de novo modeling and later rationalized and optimized by molecular dynamics simulations. An antisense peptide library was constructed against the divergent sense peptide DEGTEEET in the specific region of MT1-MMP, which was found by multiple alignment of the whole MMP family. The antisense peptide library was virtually screened against the constructed three-dimensional model of MT1-MMP. The top 20 novel peptides were further studied, which were found well docked with MT1-MMP at the region of DEGTEEET, again confirming their specific binding to MT1-MMP. Preliminary study of one of the top-ranked peptide SFLLSPFV showed that it could inhibit the viabilities of MG63 and MDA-MB-231 tumor cells. We thus not only successfully modeled the three-dimensional structure of mature MT1-MMP but also provided a new way for the finding of peptide candidates targeting MT1-MMP based on antisense peptide library.
Sun, Hainan,Xu, Xiaomin,Hu, Zhiwei,Tjeng, Liu Hao,Zhao, Jie,Zhang, Qin,Lin, Hong-Ji,Chen, Chien-Te,Chan, Ting-Shan,Zhou, Wei,Shao, Zongping The Royal Society of Chemistry 2019 Journal of Materials Chemistry A Vol.7 No.16
<P>If different active sites in a catalyst have optimal binding to different reaction intermediates and short reaction paths among them, they may work cooperatively to enhance the oxygen evolution reaction (OER) activity. Based on this design principle, in this study, we start with a B-site ordered double perovskite Sr2FeMoO6−δ with poor OER activity as the host material to fulfill the requirement of a short pathway, and then, replace Mo with Ni and Fe with Co to optimize the synergistic interplay of the multi-active sites. Replacing Mo with Ni indeed dramatically enhances the OER activity and structural/operating stability. Further improvement in OER performance is realized by partial substitution of Fe with Co, leading to the development of a material with the nominal composition of Sr2Fe0.8Co0.2Mo0.65Ni0.35O6−δ, which outperforms the noble metal oxide IrO2 and is better than most of the electrocatalysts developed based on a single descriptor, such as Ba0.5Sr0.5Co0.8Fe0.2O3−δ (eg occupancy close to unity), PrBaCo2O5+δ (O 2p-band center relative to the Fermi level), and La0.5Sr0.5CoO3−δ (charge-transfer energy) in many aspects. As a universal method, combined structural and compositional tuning to create a cooperative effect among different active sites for intermediate adsorption and reaction in an ordered structure may provide a new way for the design of superior electrocatalysts for various applications.</P>
The Prediction of Ship Motions and Added Resistance based on RANS
Jiao Yan,Dingqi Pan,Xiaomin Zhou,Ketai He 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
In this paper, numerical predictions of ship motions and added resistance in regular head waves by solving the unsteady Reynolds average Navier-Stokes (RANS) equations with a shear-stress transport (SST) κ-ω turbulence model is presented. Volume of fluid method (VOF) is applied for the treatment of the free surface. The Wigley III ship model has been computed using the unsteady RANS solver Fluent. The simulations have been carried out to measure the heaving and pitching motions in regular head waves which covered seven different wavelengths. The Froude number of the hull are 0.2, 0.3 and 0.4. By comparing the results with the strip theory based results and experimental data, the unsteady RANS method shows better accuracy in predicting ship motions.
The role of CTNNB1 and LEF1 in feather follicles development of Anser cygnoides and Anser anser
Yue Sun,Yuxuan Zhou,Petunia Msuthwana,Jing Liu,Chang Liu,Cornelius Tlotliso Sello,Yupu Song,Ziqiang Feng,Shengyi Li,Wei Yang,Yunpeng Xu,Xiaomin Yan,Chuanghang Li,Yujian Sui,Jingtao Hu,Yongfeng Sun 한국유전학회 2020 Genes & Genomics Vol.42 No.7
Background Wingless-types/beta-catenin (Wnt/β-catenin) signaling pathway is one of the most extensively studied transcriptional cascades involved in various types of organogenesis including embryonic and postnatal development. Downy feather quantity is primarily affected by follicular development and gene regulations. Objective This research was aimed to investigate the role of catenin beta-1(CTNNB1) and lymphoid enhancerbinding factor-1 (LEF1) on feather follicles development at different developmental stages. Methods Fluorescence quantitative PCR, Western-blot and immunohistochemical methods were used in Anser cygnoides and Anser anser embryos (E12, E13 E18, and E28) and after birth gosling stages (G18, G48, G88) for gene expression analysis. Results CTNNB1 and LEF1 genes were expressed in Anser cygnoides and Anser anser at different embryonic and after-birth gosling developmental stages and the expression levels were significantly different in different stages (p < 0.05). The mRNA expression of CTNNB1 and LEF1 genes reached the highest level at D88 in Anser cygnoides, while the highest expression levels were at D18 and D88 in Anser anser, and the expression levels of CTNNB1 genes at D88 in all embryonic stages were significantly lower than after-birth stages. CTNNB1 and LEF1 protein expression were the highest at E12 and E28 for Anser cygnoides feather follicles development. While at a similar stage for Anser anser, the expression of CTNNB1 and LEF1 protein was the highest at D48 and D18. Protein expression at embryonic stages was in the epidermis (E) and the hair basal plate (P), the expression site for after-birth stages was in the dermal papilla (DP). Conclusion Our study illustrated that CTNNB1 and LEF1 has an impact on Anser cygnoides and Anser anser feather follicles growth and development.