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      • Effects of Naoxintong-containing serum on NO and CGRP in rat cerebral microvascular endothelial cells

        Lanfang, Li,Canghai, Li,Haixia, Dang,Nan, Jiang,Jianyou, Guo,Shuying, Guo,Hairu, Huo,Tingliang, Jiang Kyung Hee Oriental Medicine Research Center 2005 Oriental pharmacy and experimental medicine Vol.5 No.3

        Effects of Naoxintong (NXT, a formula of Chinese Materia Medica)-containing serum on Nitrogen monoxide (NO) and calcitonin gene related peptide (CGRP) in rat cerebral microvascular endothelial cells (rCMEC) was investigated, rCMEC was injured in vitro by incubating for 4 hours at 100% NO in a hypoxia chamber. The results indicated that NXT could antagonize the reduction of NO and CGRP secreted by rCMEC during hypoxia, the effect of which was dose-dependent. After treated with NXT-containing serum at dosage of 5.0 - 30 and 50 -1.1 g/kg/U respectively, the amount of NO and CGRP secreted by rCMEC were remarkably increased during hypoxia in vitro.

      • A Fast Inter Prediction Algorithm Based on Rate-Distortion Cost in HEVC

        Jianfu Wang,Lanfang Dong,Yinlong Xu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11

        As one of the most important video compression technologies, inter prediction coding is highly efficient in reducing the temporal redundancy of video sequence. However, complicated inter prediction for the latest High Efficiency Video Coding standard (HEVC) brings high computational complexity and seriously restricts the encoding speed. In this paper, a fast inter prediction algorithm based on Rate-Distortion (RD) cost is proposed to improve inter prediction of HEVC. First, the splitting of Largest Coding Unit (LCU) is determined according to the RD costs with best Coding Unit (CU) size being 64x64 in the reference picture. Then, for other CUs in lower depths, the comparable RD costs are selected from encoded CUs in the same depth at the same Coding Tree Unit (CTU) based on the local homogeneity in spatial domain. By comparing the RD cost of current CU with its corresponding RD threshold, the splitting is terminated in advance. In this way, the proposed fast inter prediction algorithm can avoid the traversal of all CUs in the coding tree structure and improve the encoding speed. Experimental results show that the algorithm can save about 30% encoding time on the basis of ensuring visual quality and compression ratio of videos. Therefore, the computational complexity can be reduced greatly.

      • KCI등재

        Single-cell characterization of macrophages in uveal melanoma uncovers transcriptionally heterogeneous subsets conferring poor prognosis and aggressive behavior

        Li Ke,Sun Lanfang,Wang Yanan,Cen Yixin,Zhao Jingting,Liao Qianling,Wu Wencan,Sun Jie,Zhou Meng 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-

        Uveal melanoma (UM) is the most frequent primary intraocular malignancy with high metastatic potential and poor prognosis. Macrophages represent one of the most abundant infiltrating immune cells with diverse functions in cancers. However, the cellular heterogeneity and functional diversity of macrophages in UM remain largely unexplored. In this study, we analyzed 63,264 single-cell transcriptomes from 11 UM patients and identified four transcriptionally distinct macrophage subsets (termed MΦ-C1 to MΦ-C4). Among them, we found that MΦ-C4 exhibited relatively low expression of both M1 and M2 signature genes, loss of inflammatory pathways and antigen presentation, instead demonstrating enhanced signaling for proliferation, mitochondrial functions and metabolism. We quantified the infiltration abundance of MΦ-C4 from single-cell and bulk transcriptomes across five cohorts and found that increased MΦ-C4 infiltration was relevant to aggressive behaviors and may serve as an independent prognostic indicator for poor outcomes. We propose a novel subtyping scheme based on macrophages by integrating the transcriptional signatures of MΦ-C4 and machine learning to stratify patients into MΦ-C4-enriched or MΦ-C4-depleted subtypes. These two subtypes showed significantly different clinical outcomes and were validated through bulk RNA sequencing and immunofluorescence assays in both public multicenter cohorts and our in-house cohort. Following further translational investigation, our findings highlight a potential therapeutic strategy of targeting macrophage subsets to control metastatic disease and consistently improve the outcome of patients with UM.

      • Experimental research for the protective effect of Naoxingtong-containing serum on rat cerebral microvascular endothelial cells

        Jun, Zhou,Jianyou, Guo,Jian, Guo,Lanfang, Li,Canghai, Li,Nan, Jiang,Shuying, Guo,Hairu, Huo,JiangTingliang, JiangTingliang Kyung Hee Oriental Medicine Research Center 2005 Oriental pharmacy and experimental medicine Vol.5 No.2

        The protective effect of Naoxingtong (NXT) on rat cerebral microvascular endothelial cell (rCMEC) was investigated. rCMEC was injured in vitro by incubating for 4 hours at 100% NO in a hypoxia chamber. After treated with NXT-containing serum, the cellular viability rate (90.3%) was significantly elevated when compared with that of control group and the inhibitive rate of lactic dehydrogenase activity (9.2%) was far lower than the control group with dose-dependent effect. The results indicate that NXT can increase viability of rCMEC, and protect cell membrane from injury during hypoxia.

      • KCI등재

        Exploiting the antibacterial mechanism of phenazine substances from Lysobacter antibioticus 13-6 against Xanthomonas oryzae pv. oryzicola

        Liu Qi,Yang Jun,Ahmed Waqar,Wan Xiaoyan,Wei Lanfang,Ji Guanghai 한국미생물학회 2022 The journal of microbiology Vol.60 No.5

        Bacterial leaf streak caused by Xanthomonas oryzae pv. oryzicola (Xoc) is one of the most destructive diseases affecting rice production worldwide. In this study, we extracted and purified phenazine substances from the secondary metabolites of Lysobacter antibioticus 13-6. The bacteriostatic mechanism of phenazine substances against Xoc was investigated through physiological response and transcriptomic analysis. Results showed that phenazine substances affects the cell membrane permeability of Xoc, which causes cell swelling and deformation, blockage of flagellum synthesis, and imbalance of intracellular environment. The changes in intracellular environment affect the physiological and metabolic functions of Xoc, which reduces the formation of pathogenic factors and pathogenicity. Through transcriptomic analysis, we found that among differentially expressed genes, the expression of 595 genes was induced significantly (275 up-regulated and 320 down-regulated). In addition, we observed that phenazine substances affects three main functions of Xoc, i.e., transmembrane transporter activity, DNA-mediated transposition, and structural molecular activity. Phenazine substances also inhibits the potassium ion transport system that reduces Xoc resistance and induces the phosphate ion transport system to maintain the stability of the internal environment. Finally, we conclude that phenazine substances could retard cell growth and reduce the pathogenicity of Xoc by affecting cell structure and physiological metabolism. Altogether, our study highlights latest insights into the antibacterial mechanism of phenazine substances against Xoc and provides basic guidance to manage the incidence of bacterial leaf streak of rice.

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