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Dataset Information

Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia.


ABSTRACT:

Background

Acute myeloid leukemia (AML) comprises a group of diseases characterized by the abnormal development of malignant myeloid cells. Recent studies have demonstrated an important role for aberrant transcriptional regulation in AML pathophysiology. Although several transcription factors (TFs) involved in myeloid development and leukemia have been studied extensively and independently, how these TFs coordinate with others and how their dysregulation perturbs the genetic circuitry underlying myeloid differentiation is not yet known. We propose an integrated approach for mammalian genetic network construction by combining the analysis of gene expression profiling data and the identification of TF binding sites.

Results

We utilized our approach to construct the genetic cir

SUBMITTER: Chang LW 

PROVIDER: S-EPMC2374711 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature