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Dataset Information

Patterns of human gene expression variance show strong associations with signaling network hierarchy.


ABSTRACT:

Background

Understanding organizational principles of cellular networks is one of the central goals of systems biology. Although much has been learnt about gene expression programs under specific conditions, global patterns of expressional variation (EV) of genes and their relationship to cellular functions and physiological responses is poorly understood.

Results

To understand global principles of relationship between transcriptional regulation of human genes and their functions, we have leveraged large-scale datasets of human gene expression measurements across a wide spectrum of cell conditions. We report that human genes are highly diverse in terms of their EV; while some genes have highly variable expression pattern, some seem to be relatively ubiquitously expressed acr

SUBMITTER: Komurov K 

PROVIDER: S-EPMC2992512 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature