Evidence map›Paper›PMID 12537576›Full record

ArticleGenome biology2002

Computational analysis of core promoters in the Drosophila genome.

Uwe Ohler, Guo-chun Liao, Heinrich Niemann, Gerald M Rubin

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 252 papers.

0numbers the graph read from it
0cells of the map it votes in
252citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

252 citing papers in PubMed, 457 citations in OpenAlex.

  1. Article
  2. Naturally Occurring Variability in the Regulatory Region of theInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. NovelbioRxiv : the preprint server for biology · 2026
    Article
  6. Embedded CRISPRi Enhances Gene-Silencing Efficiency in Drosophila.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Dissecting thebioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

192 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Uwe OhlerDepartment of Molecular and Cell Biology, University of California at Berkeley, Berkeley, CA 94720-3200, USA. ohler@mit.edu
Guo-chun Liao
Heinrich Niemann
Gerald M Rubin
University of California, Berkeley · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEHoward Hughes Medical Institute · US

Funding

TECHNICAL COREP50HG000750 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RUBIN, GERALD M. · 1992 to 2002
$25.5M
NHGRI NIH HHS HG00750
6 · The paper itself

Abstract

backgroundThe core promoter, a region of about 100 base-pairs flanking the transcription start site (TSS), serves as the recognition site for the basal transcription apparatus. Drosophila TSSs have generally been mapped by individual experiments; the low number of accurately mapped TSSs has limited analysis of promoter sequence motifs and the training of computational prediction tools.

resultsWe identified TSS candidates for about 2,000 Drosophila genes by aligning 5' expressed sequence tags (ESTs) from cap-trapped cDNA libraries to the genome, while applying stringent criteria concerning coverage and 5'-end distribution. Examination of the sequences flanking these TSSs revealed the presence of well-known core promoter motifs such as the TATA box, the initiator and the downstream promoter element (DPE). We also define, and assess the distribution of, several new motifs prevalent in core promoters, including what appears to be a variant DPE motif. Among the prevalent motifs is the DNA-replication-related element DRE, recently shown to be part of the recognition site for the TBP-related factor TRF2. Our TSS set was then used to retrain the computational promoter predictor McPromoter, allowing us to improve the recognition performance to over 50% sensitivity and 40% specificity. We compare these computational results to promoter prediction in vertebrates.

conclusionsThere are relatively few recognizable binding sites for previously known general transcription factors in Drosophila core promoters. However, we identified several new motifs enriched in promoter regions. We were also able to significantly improve the performance of computational TSS prediction in Drosophila.

Indexed as

GenomeAnimalsBase CompositionCluster AnalysisComputational BiologyDrosophila melanogasterExpressed Sequence TagsForecastingPromoter Regions, GeneticSoftware ValidationTranscription Initiation Site

Identifiers

PMID12537576
PMCPMC151189
OpenAlexW2097353028

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.