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A computerized database-scan to identify c-MYC targets

Oren Schuldiner1, Sharon Shor, Nissim Benvenisty

  • 1Department of Genetics, The Silberman Institute for Life Sciences, The Hebrew University, Givat-Ram, Jerusalem 91904, Israel.

Gene
|July 18, 2002
PubMed

Insights

A new computational method identifies potential target genes for the c-MYC oncogene. This approach, focusing on sequence specificity and conservation, found 12 candidates, with NM23-H2 and N-RAS showing promise as direct targets.

Area of Science:

  • Molecular Biology
  • Genetics
  • Oncology

Background:

  • The c-MYC oncogene is crucial in human cancer development, regulating cell proliferation, differentiation, and apoptosis.
  • c-MYC functions as a transcription factor, binding DNA sequence-specifically after forming a heterodimer with MAX.
  • Identifying c-MYC target genes is essential for understanding downstream molecular pathways in cancer.

Purpose of the Study:

  • To develop and validate a computational method for identifying putative transcription factor target genes.
  • To identify novel target genes regulated by the c-MYC transcription factor.

Main Methods:

  • A computer-based scan was designed using criteria such as sequence specificity, location, and evolutionary conservation of regulatory elements.
  • The scan identified a pool of 12 putative c-MYC target genes.
  • Expression analyses, DNA binding assays, and reporter gene experiments were performed to validate potential targets.

Main Results:

  • The computational scan successfully identified 12 putative target genes for c-MYC.
  • Expression analyses and functional assays indicated that NM23-H2 and N-RAS are likely direct targets of c-MYC activation.
  • The study validated the efficacy of the computational approach in predicting transcription factor targets.

Conclusions:

  • A novel computational strategy effectively identifies putative transcription factor target genes.
  • NM23-H2 and N-RAS are proposed as direct c-MYC targets, offering new insights into MYC-driven oncogenesis.
  • This computer-based scanning method has broad applicability for discovering targets of other transcription factors.

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