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I-SEAD: A Secure Routing Protocol for Mobile Ad Hoc Networks
Wei-Shen Lai,Chu-Hsing Lin,Jung-Chun Liu,Yen-Lin Huang,Mei-Chun Chou 보안공학연구지원센터 2008 International Journal of Multimedia and Ubiquitous Vol.3 No.4
Ad hoc networks are highly dynamic routing networks cooperated by a collection of wireless mobile hosts without any assistance of a centralized access point. Secure Efficient Ad hoc Distance Vector (SEAD) is a proactive routing protocol, based on the design of Destination Sequenced Distance Vector routing protocol (DSDV). SEAD provides a robust protocol against attackers trying to create incorrect routing state in the other node. However, it does not provide a way to prevent an attacker from tampering the next hop or the destination field in route update. In this paper, we propose an I-SEAD protocol to solve the problem. A series of simulation experiments are conducted to evaluate the performance.
Chia-Eng Wu,Chen-Wei Yu,Kai-Wei Chang,Wen-Hsi Chou,Chen-Yu Lu,Elisa Ghelfi,Fang-Chun Wu,Pey-Shynan Jan,Mei-Chi Huang,Patrick Allard,Shau-Ping Lin,Hong-Nerng Ho,Hsin-Fu Chen 생화학분자생물학회 2017 Experimental and molecular medicine Vol.49 No.-
Human pluripotent stem cells (hPSCs), including embryonic stem cells (ESCs) and induced PSCs (iPSCs), represent potentially unlimited cell sources for clinical applications. Previous studies have suggested that hPSCs may benefit from immune privilege and limited immunogenicity, as reflected by the reduced expression of major histocompatibility complex class-related molecules. Here we investigated the global immune-related gene expression profiles of human ESCs, hiPSCs and somatic cells and identified candidate immune-related genes that may alter their immunogenicity. The expression levels of global immune-related genes were determined by comparing undifferentiated and differentiated stem cells and three types of human somatic cells: dermal papilla cells, ovarian granulosa cells and foreskin fibroblast cells. We identified the differentially expressed genes CD24, GATA3, PROM1, THBS2, LY96, IFIT3, CXCR4, IL1R1, FGFR3, IDO1 and KDR, which overlapped with selected immune-related gene lists. In further analyses, mammalian target of rapamycin complex (mTOR) signaling was investigated in the differentiated stem cells following treatment with rapamycin and lentiviral transduction with specific short-hairpin RNAs. We found that the inhibition of mTOR signal pathways significantly downregulated the immunogenicity of differentiated stem cells. We also tested the immune responses induced in differentiated stem cells by mixed lymphocyte reactions. We found that CD24- and GATA3-deficient differentiated stem cells including neural lineage cells had limited abilities to activate human lymphocytes. By analyzing the transcriptome signature of immune-related genes, we observed a tendency of the hPSCs to differentiate toward an immune cell phenotype. Taken together, these data identify candidate immune-related genes that might constitute valuable targets for clinical applications.
Wang Hui-Ching,Moi Sin-Hua,Chan Leong-Perng,Wu Chun-Chieh,Du Jeng-Shiun,Liu Pei-Lin,Chou Meng-Chun,Wu Che-Wei,Huang Chih-Jen,Hsiao Hui-Hua,Pan Mei-Ren,Chen Li-Tzong 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Personalized genetic profiling has focused on improving treatment efficacy and predicting risk stratification by identifying mutated genes and selecting targeted agents according to genetic testing. Therefore, we evaluated the role of genetic profiling and tumor mutation burden (TMB) using next-generation sequencing in patients with head and neck squamous cell carcinoma (HNSC). The relapse mutation signature (RMS) and chromatin remodeling mutation signature (CRMS) were explored to predict the risk of relapse in patients with HNSC treated with concurrent chemoradiotherapy (CCRT) with platinum-based chemotherapy. Patients in the high RMS and CRMS groups showed significantly shorter relapse-free survival than those in the low RMS and CRMS groups, respectively (p < 0.001 and p = 0.006). Multivariate Cox regression analysis showed that extranodal extension, CCRT response, and three somatic mutation profiles (TMB, RMS, and CRMS) were independent risk predictors for HNSC relapse. The predictive nomogram showed satisfactory performance in predicting relapse-free survival in patients with HNSC treated with CCRT.