Article ID Journal Published Year Pages File Type
4633782 Applied Mathematics and Computation 2008 7 Pages PDF
Abstract

The tissue-specific pattern of gene expression can provide important clues for clinical diagnosis and prognosis. Though high-density microarray technology offers the opportunity to examine patterns of mRNA expression on a genomic scale, accessible tissue is still a problem. We conducted secondary data analysis on transcriptional profiles of 79 human tissues using Affymetrix U133a microarrays. We found that expression among tissues belonging to the central nervous system shows distinctly similar patterns. The organ-free immune cells in peripheral blood are more comparable with leukemia/lymphoma at the transcriptome level, and differential co-expression patterns appear between tissue groups of organ-free immune and leukemia/lymphoma cells.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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