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

Leon Juvenal Hajingabo1, Sarah Daakour2, Maud Martin2

  • 1Laboratoire de Bioinformatique des Génomes et des Réseaux, Université Libre de Bruxelles, B-1050 Bruxelles, Belgium.

Molecular Biology of the Cell
|October 3, 2014
PubMed

Insights

This study reveals how gene fusions in acute lymphoblastic leukemia disrupt molecular networks. Researchers identified specific gene circuit disruptions, offering new insights into TCF3-PBX1 and ETV6-RUNX1 leukemias.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Genomic variations are linked to human diseases, serving as diagnostic and therapeutic targets.
  • Predicting the functional impact of genetic alterations on complex disease phenotypes remains challenging.
  • Chromosomal translocations are common in precursor-B-cell acute lymphoblastic leukemia (preB-ALL).

Purpose of the Study:

  • To develop an approach for extracting perturbed molecular interactions from gene expression data.
  • To investigate the functional effects of specific gene fusions in preB-ALL.
  • To gain new insights into TCF3-PBX1 and ETV6-RUNX1 leukemias.

Main Methods:

  • Utilized three chromosomal translocations (ETV6-RUNX1, BCR-ABL1, TCF3-PBX1) as models.
  • Applied a novel approach combining gene expression and interactome data analysis.
  • Extracted perturbed molecular interactions from gene expression changes.

Main Results:

  • Identified specific deregulation of MYC and JunD transcriptional circuits by ETV6-RUNX1 and TCF3-PBX1 gene fusions, respectively.
  • Discovered the bulk mRNA NXF1-dependent machinery as a direct target of the TCF3-PBX1 fusion protein.
  • Provided new molecular insights into TCF3-PBX1 and ETV6-RUNX1 acute lymphoblastic leukemia.

Conclusions:

  • The study presents a novel method for analyzing gene expression and interactome data.
  • Specific gene fusions in preB-ALL lead to distinct disruptions in transcriptional circuits.
  • Findings advance understanding of the molecular mechanisms underlying TCF3-PBX1 and ETV6-RUNX1 leukemias.

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