Evidence map›Paper›PMID 22541432›Full record

ArticleCell2012

A system of repressor gradients spatially organizes the boundaries of Bicoid-dependent target genes.

Hongtao Chen, Zhe Xu, Constance Mei, Danyang Yu, Stephen Small

Abstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Article
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  6. Article
  7. In Situ Hybridization as a Method to Examine Gene Regulatory Activity In Vivo.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Time and space in segmentation.Interface focus · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hongtao ChenDepartment of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA.
Zhe Xu
Constance Mei
Danyang Yu
Stephen Small

Funding

ENHANCER-MEDIATED MECHANISMS OF PATTERN FORMATIONR01GM051946 · NIGMS · NEW YORK UNIVERSITY · PI SMALL, STEPHEN J · 1996 to 2019
$5.5M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015518 · NCRR · NEW YORK UNIVERSITY · PI LENNIE, PETER · 2000 to 2000
$1.3M
NCRR NIH HHS C06 RR015518NCRR NIH HHS C06 RR-15518-01NIGMS NIH HHS R01 GM051946NIGMS NIH HHS R01 GM51946
6 · The paper itself

Abstract

The homeodomain (HD) protein Bicoid (Bcd) is thought to function as a gradient morphogen that positions boundaries of target genes via threshold-dependent activation mechanisms. Here, we analyze 66 Bcd-dependent regulatory elements and show that their boundaries are positioned primarily by repressive gradients that antagonize Bcd-mediated activation. A major repressor is the pair-rule protein Runt (Run), which is expressed in an opposing gradient and is necessary and sufficient for limiting Bcd-dependent activation. Evidence is presented that Run functions with the maternal repressor Capicua and the gap protein Kruppel as the principal components of a repression system that correctly orders boundaries throughout the anterior half of the embryo. These results put conceptual limits on the Bcd morphogen hypothesis and demonstrate how the Bcd gradient functions within the gene network that patterns the embryo.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsBody PatterningDNA-Binding ProteinsDrosophila melanogasterDrosophila ProteinsEnhancer Elements, GeneticHomeodomain ProteinsNuclear ProteinsTrans-ActivatorsTranscription Factorsbcd protein, DrosophilaDNA-Binding ProteinsDrosophila ProteinsHomeodomain ProteinsNuclear Proteinsrun protein, DrosophilaTrans-ActivatorsTranscription Factors

Identifiers

PMID22541432
PMCPMC3535481

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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.