Large-scale statistical analyses of rice ESTs reveal correlated patterns of gene expression.

ABSTRACT: Large, publicly available collections of expressed sequence tags (ESTs) have been generated from Arabidopsis thaliana and rice (Oryza sativa). A potential, but relatively unexplored application of this data is in the study of plant gene expression. Other EST data, mainly from human and mouse, have been successfully used to point out genes exhibiting tissue- or disease-specific expression, as well as for identification of alternative transcripts. In this report, we go a step further in showing that computer analyses of plant EST data can be used to generate evidence of correlated expression patterns of genes across various tissues. Furthermore, tissue types and organs can be classified with respect to one another on the basis of their global gene expression patterns. As in previous studies,

SUBMITTER: Ewing RM 

PROVIDER: S-EPMC310820 | biostudies-literature | 1999 Oct

REPOSITORIES: biostudies-literature