Stat and interferon genes identified by network analysis differentially regulate primitive and definitive erythropoiesis.

ABSTRACT:

Background

Hematopoietic ontogeny is characterized by overlapping waves of primitive, fetal definitive, and adult definitive erythroid lineages. Our aim is to identify differences in the transcriptional control of these distinct erythroid cell maturation pathways by inferring and analyzing gene-interaction networks from lineage-specific expression datasets. Inferred networks are strongly connected and do not fit a scale-free model, making it difficult to identify essential regulators using the hub-essentiality standard.

Results

We employed a semi-supervised machine learning approach to integrate measures of network topology with expression data to score gene essentiality. The algorithm was trained and tested on the adult and fetal definitive erythroid lineages. When applied

SUBMITTER: Greenfest-Allen E 

PROVIDER: S-EPMC3668222 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature