Prostatic Abscess Secondary to Staphylococcus haemolyticus and Escherichia coli: A Case Report.

A prostate abscess is a rare clinical entity with an incidence of 0.2%-0.5% in males. No case reports exist of Staphylococcus haemolyticus as an etiologic bacterial agent. We report a 59-year-old man with a past medical history of poorly controlled diabetes mellitus and benign prostatic hyperplasia who was hospitalized due to urosepsis and obstruction. A prostatic abscess was discovered and initially treated with intravenous vancomycin and ertapenem. Clinical improvement was apparent within two days following transrectal prostatic abscess drainage. Four weeks of intravenous antibiotics followed. Prostatic abscess cultures grew Staphylococcus haemolyticus and Escherichia coli following tube deployment. To the best of our knowledge, this is the first case reporting Staphylococcus haemolyticus as an organism in a prostate abscess. We regard this as another example of the rising incidence of gram-positive organisms in prostatic abscesses in the post-antibiotic era.

The Stanford Microarray Database accommodates additional microarray platforms and data formats.

The Stanford Microarray Database (SMD) (http://smd.stanford.edu) is a research tool for hundreds of Stanford researchers and their collaborators. In addition, SMD functions as a resource for the entire biological research community by providing unrestricted access to microarray data published by SMD users and by disseminating its source code. In addition to storing GenePix (Axon Instruments) and ScanAlyze output from spotted microarrays, SMD has recently added the ability to store, retrieve, display and analyze the complete raw data produced by several additional microarray platforms and image analysis software packages, so that we can also now accept data from Affymetrix GeneChips (MAS5/GCOS or dChip), Agilent Catalog or Custom arrays (using Agilent's Feature Extraction software) or data created by SpotReader (Niles Scientific). We have implemented software that allows us to accept MAGE-ML documents from array manufacturers and to submit MIAME-compliant data in MAGE-ML format directly to ArrayExpress and GEO, greatly increasing the ease with which data from SMD can be published adhering to accepted standards and also increasing the accessibility of published microarray data to the general public. We have introduced a new tool to facilitate data sharing among our users, so that datasets can be shared during, before or after the completion of data analysis. The latest version of the source code for the complete database package was released in November 2004 (http://smd.stanford.edu/download/), allowing researchers around the world to deploy their own installations of SMD.

Caryoscope: an Open Source Java application for viewing microarray data in a genomic context.

BACKGROUND: Microarray-based comparative genome hybridization experiments generate data that can be mapped onto the genome. These data are interpreted more easily when represented graphically in a genomic context. RESULTS: We have developed Caryoscope, which is an open source Java application for visualizing microarray data from array comparative genome hybridization experiments in a genomic context. Caryoscope can read General Feature Format files (GFF files), as well as comma- and tab-delimited files, that define the genomic positions of the microarray reporters for which data are obtained. The microarray data can be browsed using an interactive, zoomable interface, which helps users identify regions of chromosomal deletion or amplification. The graphical representation of the data can be exported in a number of graphic formats, including publication-quality formats such as PostScript. CONCLUSION: Caryoscope is a useful tool that can aid in the visualization, exploration and interpretation of microarray data in a genomic context.