Predicting interactome network perturbations in human cancer: application to gene fusions in acute lymphoblastic leukemia.

ABSTRACT: Genomic variations such as point mutations and gene fusions are directly or indirectly associated with human diseases. They are recognized as diagnostic, prognostic markers and therapeutic targets. However, predicting the functional effect of these genetic alterations beyond affected genes and their products is challenging because diseased phenotypes are likely dependent of complex molecular interaction networks. Using as models three different chromosomal translocations-ETV6-RUNX1 (TEL-AML1), BCR-ABL1, and TCF3-PBX1 (E2A-PBX1)-frequently found in precursor-B-cell acute lymphoblastic leukemia (preB-ALL), we develop an approach to extract perturbed molecular interactions from gene expression changes. We show that the MYC and JunD transcriptional circuits are specifically deregulated after E

SUBMITTER: Hajingabo LJ 

PROVIDER: S-EPMC4244205 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature