Evidence map›Paper›PMID 17401361›Full record

ArticleNature biotechnology2007

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

Abstract read
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In one paragraph

Article in Nature biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
–field-weighted citation impact
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

95 citing papers in PubMed.

  1. Article
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  5. The DUF1013 protein TrcR tracks with RNA polymerase to control the bacterial cell cycle and protect against antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  6. Review
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  8. Chemical synthesis rewriting of a bacterial genome to achieve design flexibility and biological functionality.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dynamic translation regulation in Caulobacter cell cycle control.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. In-phase oscillation of global regulons is orchestrated by a pole-specific organizer.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  20. Article

35 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

10 authors.

Patrick T McGrathDepartment of Physics, Stanford University, Varian Physics, 382 Via Pueblo Mall, Stanford, California 94305, USA.
Honglak Lee
Li Zhang
Antonio A Iniesta
Alison K Hottes
Meng How Tan
Nathan J Hillson
Ping Hu
Lucy Shapiro
Harley H McAdams

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
REGULATION OF DIFFERENTIATION IN CAULOBACTERR01GM032506 · NIGMS · YESHIVA UNIVERSITY · PI SHAPIRO, LUCILLE · 1985 to 2014
$7.1M
3D Chromosome/Replisome Positioning in Bacterial CellsR24GM073011 · NIGMS · STANFORD UNIVERSITY · PI SHAPIRO, LUCILLE · 2005 to 2008
$1.5M
REGULATION OF DIFFERENTIATION IN CAULOBACTERR37GM032506 · NIGMS · STANFORD UNIVERSITY · PI SHAPIRO, LUCILLE · 1993 to 2002
$1.4M
NHGRI NIH HHS T32 HG00044NIGMS NIH HHS 5R24GM73011-2NIGMS NIH HHS GM32506
6 · The paper itself

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.

Indexed as

Models, GeneticBase SequenceCaulobacter crescentusComputer SimulationConserved SequenceDNA, BacterialMolecular Sequence DataOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticRegulonSequence Analysis, DNATranscription, GeneticDNA, Bacterial

Identifiers

PMID17401361

What OpenQuestion holds

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Registered trials

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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.