High-throughput identification of transcription start sites, conserved promoter motifs and predicted regulons

Patrick T. McGrath, Honglak Lee, Li Zhang, Antonio A. Iniesta, Alison K. Hottes, Meng How Tan, Nathan J. Hillson, Ping Hu, Lucy Shapiro, Harley H. McAdams*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

136 Citations (Scopus)

Abstract

Using 62 probe-level datasets obtained with a custom-designed Caulobacter crescentus microarray chip, we identify transcriptional start sites of 769 genes, 53 of which are transcribed from multiple start sites. Transcriptional start sites are identified by analyzing probe signal cross-correlation matrices created from probe pairs tiled every 5 bp upstream of the genes. Signals from probes binding the same message are correlated. The contribution of each promoter for genes transcribed from multiple promoters is identified. Knowing the transcription start site enables targeted searching for regulatory-protein binding motifs in the promoter regions of genes with similar expression patterns. We identified 27 motifs, 17 of which share no similarity to the characterized motifs of other C. crescentus transcriptional regulators. Using these motifs, we predict coregulated genes. We verified novel promoter motifs that regulate stress-response genes, including those responding to uranium challenge, a stress-response sigma factor and a stress-response noncoding RNA.

Original languageEnglish
Pages (from-to)584-592
Number of pages9
JournalNature Biotechnology
Volume25
Issue number5
DOIs
Publication statusPublished - May 2007
Externally publishedYes

ASJC Scopus Subject Areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

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