Dual-terminal decentralized event-triggered control for switched systems with cyber attacks and quantization.

This article concerns dual-terminal event-triggered communication and decentralized control of switched systems that are the target of cyber attacks. Due to different properties of physical system, this system uses decentralized communication channels to transmit feedback data. In order to make efficient use of communication resources in each channel, the information sent by the sub-system needs to meet the given event-triggering conditions before it can be released. Moreover, the quantization is employed in both sides of the controller to further improve the data transmission efficiency. Then, considering that the triggered and quantified data are affected by dual-terminal cyber attacks, the event-triggered closed-loop switched (CLS) systems under attacks are derived. Furthermore, by utilizing average dwell time (ADT) technique and piecewise Lyapunov function (LF) method, sufficient conditions are given to ensure that the event-triggered CLS systems subject to dual-terminal cyber attacks are globally exponentially stable (GES). Accordingly, the design conditions for the gains of event-triggered dynamic output feedback (DOF) controllers and the parameters of decentralized event-triggering mechanisms (DETMs) are presented. Finally, simulations for verifying the system stability with and without cyber attacks are given.

DNA repair genes XRCC1 and ERCC1 polymorphisms and the risk of sporadic breast cancer in Han women in the Gansu Province of China.

AIMS: Polymorphisms in DNA damage repair genes may affect DNA repair capacity and modulate breast cancer susceptibility. In this study, we aimed to analyze two polymorphisms for each of the DNA repair genes X-ray repair cross-complementing group 1 (XRCC1) rs25487 and rs1799782 and excision repair cross-complementing group 1 (ERCC1) rs3212964 and rs11615, to evaluate their associations with the risk of sporadic breast cancer in Han women in the Gansu Province of China. METHODS: Genotypes were determined by a polymerase chain reaction-based approach for 101 patients with breast cancer and in 101 disease-free controls. RESULTS: We found that individuals with the AA genotype at XRCC1 rs25487 had a significantly increased risk of breast cancer compared with GG genotype (p<0.001, odds ratio [OR]=6.39, 95% confidence interval [CI]: 2.18-18.65). The dominant model showed that the combined rs25487 genotypes (AA+AG) increased the disease risk (p<0.001, OR=3.17, 95% CI: 1.76-5.72). However, no statistical associations were found between rs1799782 in XRCC1, or rs3212964 and rs11615 in ERCC1 and the risk of disease. In haplotype analysis, the GC haplotype in XRCC1 conferred an increased risk (p<0.001) with a 4.78-fold increase for each copy (95% CI: 2.52-8.72). Significant associations were also shown between the single nucleotide polymorphisms (SNPs) and the status of estrogen receptor (ER), progesterone receptor (PR), and HER-2. CONCLUSIONS: The results suggest that the XRCC1 rs25487 polymorphism may increase the risk of breast cancer.

Hes1 is involved in the self-renewal and tumourigenicity of stem-like cancer cells in colon cancer.

A small subpopulation of cancer cells with stem cell-like features might be responsible for tumour generation, progression, and chemoresistance. Hes1 influences the maintenance of certain stem cells and progenitor cells and the digestive systems. We found upregulated Hes1 in poorly differentiated cancer samples compared with well-differentiated tumour samples, and most of the adenocarcinomas exhibited significantly higher levels of Hes1 mRNA compared with that observed in matched normal colon samples. Moreover, Hes1 expression was found to be correlated with the expression of stem cell markers in colon cancer samples, and Hes1 upregulates the expression of stemness-related genes in colon cancer cells. In addition, Hes1 enhances the self-renewal properties of the stem-like cells by increasing the sizes of CD133+ cells and SP cells and the ability of tumour sphere formation. Additionally, the Hes1-overexpressing cells formed significantly larger and higher number of colonies, as determined through the colony and the soft agar assays. More importantly, Hes1 enhances the tumourigenicity of colon cancer cell lines in nude mice and exhibits a strong tumour-formation ability at a cell density of 1 × 10(3). Taken together, our data indicate that Hes1 induces stem-like cell self-renewal and increases the number of tumour-initiating cells in colon cancer.

Aptamer-Based Sensitive Detection of Target Molecules via RT-PCR Signal Amplification.

In the efforts to explore an aptamer-based approach for target sensing and detection with higher sensitivity and specificity, instead of directly labeling aptamer with fluorophores, we proposed a new strategy by attaching a polymerase chain reaction (PCR) template to an oligonucleotide aptamer selected by systematic evolution of ligands by exponential enrichment (SELEX), so that after aptamer target binding, the template moiety serves as the PCR template in real-time quantitative PCR (RT-PCR), and therefore, the binding event can be reported by the following RT-PCR signals. Using the subtractive SELEX method, the oligonucleotide aptamers specific for the Fc fragment of mouse IgG were selected and subjected to coupling with the PCR dsDNA template by using overlap and the asymmetric extension PCR method. The target binding affinity of the PCR template tethered aptamer has been proven by electrophoretic mobility shift assay (EMSA), and further template tethered aptamer mediated real-time quantitative PCR (A-PCR) was conducted to validate the application for such a template tethered aptamer to be a sensitive probe for IgG detection. The results show that the protocols of A-PCR can detect 10-fold serial dilutions of the target, demonstrating a new mechanism to convert aptamer target binding events to amplified RT-PCR signal, and the feasibility of the PCR template tethered aptamer as a facile, specific, and sensitive target probing and detection is established. This new approach also has potential applications in multiple parallel target detection and analysis in a wide range of research fields.