Murine brain tissues with human cytomegalovirus infection: a proteomic study

To establish two-dimensional electrophoresis profiles with high resolution and reproducibility from murine brain tissues by human cytomegalovirus（HCMV） infection and paired murine brain tissues and to identify the differential expression proteins. Methods： Forty Kunming mice were randomly divided into infection group （20） injected with HCMVAD169 and control group （20） injected with saline into their brain. After 30 days, the murine brain tissues by HCMV infection and paired murine brain tissues were separated by two-dimensional gel electrophoresis（2-DE）, analyzed by Image Master 2D software, and identified by peptide mass fingerprint（PMF） and database searching, and make Western blotting analyses the differential expression of individual proteins. Results： Well resolved, reproducible 2-D maps of the above tissues were obtained. Some of the different proteins identified by mass spectrometry（MS） were matched in the SWISS-2D PAGE database, Western blotting analyses were further carried out to verify the differential expression of individual proteins. Conclusion： These data will be valuable for studying the diagnosis of disease at an early stage, mechanisms of pathogenic and the key to the development of anti-HCMV medicine.

Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating

Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study,a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the disease status at different stages.In addition,some chemometrics algorithms were adopted to analyze the metabolites fingerprints,including baseline removal and retention time shift,to overcome variations in the experimental process.After processing,metabolites were qualitatively and quantitatively analyzed in each sample at different stages.Finally,a random forest algorithm was used to discriminate the differences among different groups.Results Four potential biomarkers,including glyceric acid,(R*,R*)-2,3-Dihydroxybutanoic acid,N-(1-oxohexyl)-glycine and D-Turanose,were discovered by exploring the characteristics of different groups.Conclusion These results suggest that combining chemometrics with the metabolites profile is an effective approach to aid in clinical diagnosis.

Long Range Correlations in Chemical Oscillations

The purpose of thepresent study is to determine whether a long range correlation is present in BZ （Belousov-Zhabotinskii） reaction and how this correlation varies with the change in concentration of the solution. To explore the dynamics of the system with change in concentration, phase space plot and power spectrum are studied. Hurst exponent is estimated using log log plot and R/S technique. We discuss the results which uncover how the system changes from an excitable steady stateto a limit cycle,