Dynamic covariation between gene expression and proteome characteristics.

ABSTRACT:

Background

Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins.

Results

Numerous bioinformatics methods were used to filter and merge information regarding gene and protein annotations. A new statistical time point-oriented analysis was developed for the study of dynamic correlations in large time series data. The method was applied to investigate microarray datasets for different cell types, organ

SUBMITTER: Sharabiani MT 

PROVIDER: S-EPMC1236912 | biostudies-literature | 2005 Aug

REPOSITORIES: biostudies-literature