Model-based identification of cis-acting elements from microarray data

Yunlong Liu, Milton W. Taylor, Howard J. Edenberg

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Identification of transcriptional regulatory motifs continues to be a challenging problem in computational biology. We report a model-based procedure, MotifModeler, that uses global gene expression data to (1) identify cis-acting elements (CAE) that regulate gene expression under a given condition and (2) estimate the effects of the CAE on gene expression. MotifModeler repeatedly tests random subsets of all possible motifs of a given size and selects those that best fit a combinatorial model of the expression levels. We tested MotifModeler using data from a microarray experiment on the effects of interferon-α in peripheral blood monocytes. Focusing on 6-bp motifs, we predicted 16 stimulatory and 4 inhibitory motifs. Motifs were extended and compared to known binding sites in the TRANSFAC database using position-specific scoring matrices. Many predicted CAE match sites known to be involved in interferon action. MotifModeler demonstrated the potential to computationally identify CAE important in gene regulation.

Original languageEnglish (US)
Pages (from-to)452-461
Number of pages10
Issue number4
StatePublished - Oct 2006


  • cis-acting elements
  • Gene expression
  • Gene regulation
  • Interferon
  • Microarrays
  • Transcription factors

ASJC Scopus subject areas

  • Genetics

Fingerprint Dive into the research topics of 'Model-based identification of cis-acting elements from microarray data'. Together they form a unique fingerprint.

Cite this