ABSTRACT
Important biological and clinical features of malignancy are reflected in its transcript pattern. Recent advances in gene expression technology and informatics have provided a powerful new means to obtain and interpret these expression patterns. A comprehensive approach to expression profiling is serial analysis of gene expression (SAGE), which provides digital information on transcript levels. SAGE works by counting transcripts and storing these digital values electronically, providing absolute gene expression levels that make historical comparisons possible. SAGE produces a comprehensive profile of gene expression and can be used to search for candidate tumor markers or antigens in a limited number of samples. The Cancer Genome Anatomy Project has created a SAGE database of human gene expression levels for many different tumors and normal reference tissues and provides online tools for viewing, comparing, and downloading expression profiles. Digital expression profiling using SAGE and informatics have been useful for identifying genes that have a role in tumor invasion and other aspects of tumor progression
Subject(s)
Humans , Computational Biology , Databases as Topic , Gene Expression Profiling , Gene Library , Neoplasms , Antigens, Neoplasm , Expressed Sequence Tags , Genetic MarkersABSTRACT
We have developed a software called pp-Blast that uses the publicly available Blast package and PVM (parallel virtual machine) to partition a multi-sequence query across a set of nodes with replicated or shared databases. Benchmark tests show that pp-Blast running in a cluster of 14 PCs outperformed conventional Blast running in large servers. In addition, using pp-Blast and the cluster we were able to map all human cDNAs onto the draft of the human genome in less than 6 days. We propose here that the cost/benefit ratio of pp-Blast makes it appropriate for large-scale sequence analysis. The source code and configuration files for pp-Blast are available at http://www.ludwig.org.br/biocomp/tools/pp-blast
Subject(s)
Humans , Database Management Systems , Genome, Human , Internet , User-Computer Interface , Computing Methodologies , Cost-Benefit Analysis , Database Management Systems , Time FactorsABSTRACT
Extracellular matrix-degrading enzymes have a very important role in many normal and pathological processes. Members of the matrix metalloproteinase and plasminogen activator families are the major modulators of extracellular matrix degradation. Here, we discuss some topics about these enzymes giving special attention to the transcriptional and extracellular regulation of their expression.