title: The features of Drosophila core promoters revealed by statistical analysis.
abstract: BACKGROUND
  Experimental investigation of transcription is still a very labor- and time-consuming process. Only a few transcription initiation scenarios have been studied in detail. The mechanism of interaction between basal machinery and promoter, in particular core promoter elements, is not known for the majority of identified promoters. In this study, we reveal various transcription initiation mechanisms by statistical analysis of 3393 nonredundant Drosophila promoters.
  
  
  RESULTS
  Using Drosophila-specific position-weight matrices, we identified promoters containing TATA box, Initiator, Downstream Promoter Element (DPE), and Motif Ten Element (MTE), as well as core elements discovered in Human (TFIIB Recognition Element (BRE) and Downstream Core Element (DCE)). Promoters utilizing known synergetic combinations of two core elements (TATA_Inr, Inr_MTE, Inr_DPE, and DPE_MTE) were identified. We also establish the existence of promoters with potentially novel synergetic combinations: TATA_DPE and TATA_MTE. Our analysis revealed several motifs with the features of promoter elements, including possible novel core promoter element(s). Comparison of Human and Drosophila showed consistent percentages of promoters with TATA, Inr, DPE, and synergetic combinations thereof, as well as most of the same functional and mutual positions of the core elements. No statistical evidence of MTE utilization in Human was found. Distinct nucleosome positioning in particular promoter classes was revealed.
  
  
  CONCLUSIONS
  We present lists of promoters that potentially utilize the aforementioned elements/combinations. The number of these promoters is two orders of magnitude larger than the number of promoters in which transcription initiation was experimentally studied. The sequences are ready to be experimentally tested or used for further statistical analysis. The developed approach may be utilized for other species.
authors.affiliation: Department of Biomedical Informatics, The Ohio State University, 333 West 10th Avenue, Columbus, OH 43210, USA. naum.gershenzon@wright.edu
authors.forename: Naum I
authors.initials: NI
authors.lastname: Gershenzon
authors.forename: Edward N
authors.initials: EN
authors.lastname: Trifonov
authors.forename: Ilya P
authors.initials: IP
authors.lastname: Ioshikhes
mesh_terms: D000818:Animals; D002843:Chromatin / Q000737:chemistry; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D018387:Codon, Initiator; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D004330:Drosophila / Q000235:genetics*; D006801:Humans; D011401:Promoter Regions, Genetic; D050436:Regulatory Elements, Transcriptional; D016385:TATA Box
chemical_list: D002843:Chromatin; D018387:Codon, Initiator