Integrating factor analysis and a transgenic mouse model to reveal a peripheral blood predictor of breast tumors.

ABSTRACT:

Background

Transgenic mouse tumor models have the advantage of facilitating controlled in vivo oncogenic perturbations in a common genetic background. This provides an idealized context for generating transcriptome-based diagnostic models while minimizing the inherent noisiness of high-throughput technologies. However, the question remains whether models developed in such a setting are suitable prototypes for useful human diagnostics. We show that latent factor modeling of the peripheral blood transcriptome in a mouse model of breast cancer provides the basis for using computational methods to link a mouse model to a prototype human diagnostic based on a common underlying biological response to the presence of a tumor.

Methods

We used gene expression data from mouse peripher

SUBMITTER: LaBreche HG 

PROVIDER: S-EPMC3178481 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature