|Whole Body Endogenous Nitric Oxide Production in Patients with Decompensated Liver Disease|
Demoncheaux E., Elphick D.A., Dürner M.B., Higgins G.E., Crowther D., Williams E.J., Higenbottam T.W and Gleeson D
Increased nitric oxide (NO) production has been implicated in the pathogenesis of the hyperdynamic circulation found in patients with advanced liver disease. There were no differences between patients with liver disease and controls with regard whole body NO production. Our results, in a well characterised set of patients, argue against greater basal NOS-dependent whole body NO production in patients with decompensated liver disease.
|MS-Xelerator™: Advanced Algorithms for LC/MS Data Processing Applied to Biomarker Discovery, Differential Analysis and Quantitative Proteomics|
LC-MS based proteomic experiments are used to compare complex biological samples across multiple conditions. Fast, powerful computational tools are needed to explore and detect differences in the areas of Expression Proteomics and Biomarker Discovery. In general, specialized steps are necessary to solve these difficult problems (binning, alignment & normalization, peak picking, relative quantitation, etc.). MS-Xelerator is a collection of software tools dedicated to all of the above tasks.
|Caveolin-1 Expression as a Possible Biomarker in Pancreatic Cancer Diagnosis|
C. Tanase, E. Raducan, L. Albulescu, E. Codorean, M.I. Nicolescu, D.I. Popescu, M.L. Cruceru and A.C. Popa
Caveolin1 (Cav-1) function either as a tumor supressor or as a promoter of metastasis. Overexpresion of cav-1 was correlated with: tumoral grading, proliferration markers (Ki67, p53), serum tumor markers (CEA, CA19.9) and angiogenic markers (VEGF, bFGF).
|Challenges and Considerations for Building an Automated Method Development System|
Margaret Antler, Michael McBrien, Andrey Vazhentsev and Vadim Tashlitsky
Automated chromatographic method development systems have been offered for a number of years, with varying degrees of effectiveness. A new system for automated method development, ACD/AutoChrom, is currently under development, and addresses some of the weaknesses of earlier configurations. AutoChrom uses both UV-Visible and MS detection to unequivocally track and resolve trace components, performing a chemometric evaluation of these detection techniques.
|Uranium Oxide Particulate Surrounding a Former Processing Facility|
Nicholas S. Lloyd, Randall R. Parrish, Tim S. Brewer, Simon R. Chenery, Sarah V. Hainsworth
This research project aims to improve understanding of the behaviour of DU particulate in the environment, using a case study of a site that is heavily contaminated by past emissions. The research will help predict the long-term fate of pollution from uranium oxide particulate.
|A Sensitive Fluorimetric Assay for Detection of ß-Secretase Activity Using a Novel FRET Peptide Substrate|
Xudong Zhu, Xing Han, Manpreet Mann, Rich Meyer, Xiaohe Tong, Anita Hong and Vera Rakhmanova
In order to facilitate high throughput screening of AD drug candidates, we have developed a new SensoLyte™ 520 b-secretase assay kit using a fluorescence resonance energy transfer (FRET) peptide, HiLyte Fluor™ 488-Glu-Val-Asn-Leu-Asp-Ala-Glu-Phe-Lys(QXL™ 520)-OH. The longer excitation and emission wavelengths of HiLyte Fluor™488 minimize the interference from autofluorescence and absorbance of test compounds.
|Glycoprotein Labeling and Detection: Novel Click Chemistry-based Applications for gel Electrophoresis, Flow Cytometry and Fluorescence Microscopy|
Brian Agnew, Nancy Ahnert, Suzanne Buck, Scott Clarke, Courtenay Hart, Kapil Kumar, and Tamara Nyberg
We demonstrate highly-selective and sensitive labeling methods for the detection of specific glycoprotein subclasses, including cell surface N- and O-linked glycoproteins and intracellular O-GlcNAc modified proteins, utilizing the copper-catalyzed cycloaddition reaction between azides and alkynes, or click chemistry.
|PRIMe: Platform for RIKEN Metabolomics|
Atsushi Fukushima, Miyako Kusano, Kenji Akiyama, Takeshi Obayashi, Takayuki Tohge, Masami Yokota Hirai, Shigehiko Kanaya, Masanori Arita, Yoko Shinbo, Kazuo Shinozaki, Tetsuya Sakurai and Kazuki Saito
We have developed a web-based database, "PRIMe (Platform for RIKEN Metabolomics)," which contains powerful tools for researchers to analyze gene co-expression data and mass spectral data. PRIMe has been developed with the main aim of facilitating integrated analysis for transcriptomics and metabolomics.
|Proteomic Profiling in Defining Chemoresistant Breast Cancer|
Chuthapisith S, Layfield R, Kerr I, Hughes C and Eremin O
This study aims to identify protein profiles in breast cancer cells as predictors of chemoresistance by using two-dimensional gel electrophoresis and MALDI-TOF peptide mass fingerprinting. Our findings provide further insights into the complex mechanisms of chemoresistance, as well as representing an attractive starting point for the identification of potential protein biomarkers to predict response to chemotherapy in breast cancer in vivo.