Down-regulation of GRP78 Enhances Chemotherapy Sensitivity to VP-16 in Lung Adenocarcinoma

Background and objective GRP78, a member of GRPs, plays a critical role in chemotherapy resistance in some cancers. To investigate the relationship between the expression of GRP78 and resistance to anti-cancer drug VP-16 in vitro in lung adenocarcinoma SPCA-1 cell line. Methods SPCA-1 cells were divided into three groups: BAPTA-AM-treated group, A23187-treated group and the control group. RT-PCR and immunofluorescence were used to analyze the expression of GRP78 at both mRNA and protein levels, respectively. Cell apoptosis was analyzed by flow cytometry in order to evaluate the therapeutic sensitivity to VP-16. Results The expression of GRP78 at both protein and mRNA levels in the BAPTA-AM-treated cells dramatically decreased as compared to that of both A23187-treated and control groups. After treatment by VP-16, the percentages of apoptotic cells were 10.84±0.86, 6.85±0.20, 4.95±0.19 in BAPTA-M-treated group, the control group and A23187-treated group, respectively. Conclusion BAPTA-AM is highly effective in the inhibition of GRP78, down-regulation of GRP78 can significantly increase the sensitivity of adenocacinoma lung cancer to VP-16. All these suggest that inhibition of the expression of GRP78 by chemicals such as BAPTA-AM or anti-sense RNA may be a new therapeutic strategies to lung cancer

XML Data Retrieval Model Based on Two-dimensional Table Datasets

Retrieval problems of XML-based representation of data have been researched in this paper. In order to solve the large time and space overhead problem in building content index, this paper establish a data retrieval model advantageous to xml representation using the system automatically build two-dimensional table datasets. Take crop diseases and insect pests data for an example, this paper first gives the architecture of retrieval system based on XML crop diseases and insect pests' data; it also discusses about how to construct the two-dimensional table dataset and achieve the retrieval process; then it describes the text segmentation technique and the XSL style sheet conversion technology. Finally, under the VS.NET platform, using MVC design pattern develop and implement a prototype

Study on the settlement law of tunnel in diatomite stratum based on Strain Softening model

Nowadays, there is no precedent for building a high-speed railway in diatomite area. Due to the complex structure and poor mechanical properties of diatomite as well as the lack of relevant engineering experience, more attention has been paid to the proper constitutive model of the tunnel in diatomite layer using the numerical calculation method, while the traditional Elastoplastic calculation model is the most used yet. Therefore, relying on the Feifengshan tunnel, through FLAC3D software as well as the on-site monitoring, the analysis of the settlement law about tunnelling in diatomite stratum is carried out based on different constitutive models. The research results show that diatomite has obvious strain-softening characteristics. The calculated surface settlement and vault settlement based on the Strain Softening model was greater than that based on the Mohr Coulomb model. When compared with the on-site monitoring data, it was found that the Strain Softening model would more accurately show the settlement law of the tunnel in diatomite and has better applicability in the diatomite area. The above-mentioned research results may provide some references for the construction and design of tunnels in similar strata in the future

Magnon-Phonon coupling in Fe3_3GeTe2_2

We study the dynamic coupling of magnons and phonons in single crystals of Fe3GeTe2 (FGT) using inelastic scanning tunneling spectroscopy (ISTS) with an ultra-low temperature scanning tunneling microscope. Inelastic scattering of hot carriers off phonons or magnons has been widely studied using ISTS, and we use it to demonstrate strong magnon-phonon coupling in FGT. We show a strong interaction between magnons and acoustic phonons which leads to formation of van Hove singularities originating in avoided level crossings and hybridization between the magnonic and phononic bands in this material. We identify these additional hybridization points in experiments and compare their energy with density functional theory calculations. Our findings provide a platform for designing the properties of dynamic magnon-phonon coupling in two-dimensional materials.Comment: 6 pages, 3 figure

A cuproptosis random forest cox score model-based evaluation of prognosis, mutation characterization, immune infiltration, and drug sensitivity in hepatocellular carcinoma

BackgroundHepatocellular carcinoma is the third most deadly malignant tumor in the world with a poor prognosis. Although immunotherapy represents a promising therapeutic approach for HCC, the overall response rate of HCC patients to immunotherapy is less than 30%. Therefore, it is of great significance to explore prognostic factors and investigate the associated tumor immune microenvironment features.MethodsBy analyzing RNA-seq data of the TCGA-LIHC cohort, the set of cuproptosis related genes was extracted via correlation analysis as a generalization feature. Then, a random forest cox prognostic model was constructed and the cuproptosis random forest cox score was built by random forest feature filtering and univariate multivariate cox regression analysis. Subsequently, the prognosis prediction of CRFCS was evaluated via analyzing data of independent cohorts from GEO and ICGC by using KM and ROC methods. Moreover, mutation characterization, immune cell infiltration, immune evasion, and drug sensitivity of CRFCS in HCC were assessed.ResultsA cuproptosis random forest cox score was built based on a generalization feature of four cuproptosis related genes. Patients in the high CRFCS group exhibited a lower overall survival. Univariate multivariate Cox regression analysis validated CRFCS as an independent prognostic indicator. ROC analysis revealed that CRFCS was a good predictor of HCC (AUC =0.82). Mutation analysis manifested that microsatellite instability (MSI) was significantly increased in the high CRFCS group. Meanwhile, tumor microenvironment analysis showed that the high CRFCS group displayed much more immune cell infiltration compared with the low CRFCS group. The immune escape assessment analysis demonstrated that the high CRFCS group displayed a decreased TIDE score indicating a lower immune escape probability in the high CRFCS group compared with the low CRFCS group. Interestingly, immune checkpoints were highly expressed in the high CRFCS group. Drug sensitivity analysis revealed that HCC patients from the high CRFCS group had a lower IC50 of sorafenib than that from the low CRFCS group.ConclusionsIn this study, we constructed a cuproptosis random forest cox score (CRFCS) model. CRFCS was revealed to be a potential independent prognostic indicator of HCC and high CRFCS samples showed a poor prognosis. Interestingly, CRFCS were correlated with TME characteristics as well as clinical treatment efficacy. Importantly, compared with the low CRFCS group, the high CRFCS group may benefit from immunotherapy and sorafenib treatment

Trust Model in Cloud Computing Environment Based on Fuzzy Theory

Recent years have witnessed the development of cloud computing. However,there also come some security concerns in cloud computing environment, suchas emerging network attacks and intrusions, and instable cloud service provision dueto flexible cloud infrastructure and resources. To this end, we research on the trustedcomputing in cloud computing environment. Specifically, in this paper, we proposea trust model based on virtual machines, with two considerations. First, we introducetimeliness strategy to ensure the response time and also minimize the idle timeof servers. Second, we extend the linear trust chain by differentiating the trust ofthe platform domain and user domain. Besides, we develop a fuzzy theory basedmethod to calculate the trust value of cloud service providers. We also conduct someexperiments to evaluate our method