A signature-based method for indexing cell cycle phase distribution from microarray profiles.

ABSTRACT:

Background

The cell cycle machinery interprets oncogenic signals and reflects the biology of cancers. To date, various methods for cell cycle phase estimation such as mitotic index, S phase fraction, and immunohistochemistry have provided valuable information on cancers (e.g. proliferation rate). However, those methods rely on one or few measurements and the scope of the information is limited. There is a need for more systematic cell cycle analysis methods.

Results

We developed a signature-based method for indexing cell cycle phase distribution from microarray profiles under consideration of cycling and non-cycling cells. A cell cycle signature masterset, composed of genes which express preferentially in cycling cells and in a cell cycle-regulated manner, was created to ind

SUBMITTER: Mizuno H 

PROVIDER: S-EPMC2676301 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature