Evidence map›Paper›PMID 19932099›Full record

ReviewFEBS letters2009

Modularity and design principles in the sea urchin embryo gene regulatory network.

Isabelle S Peter, Eric H Davidson

Abstract readReview
In one paragraph

Review in FEBS letters, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Assessing regulatory information in developmental gene regulatory networks.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Evolutionary rewiring of gene regulatory network linkages at divergence of the echinoid subclasses.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Encoding regulatory state boundaries in the pregastrular oral ectoderm of the sea urchin embryo.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
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

2 authors.

Isabelle S PeterCalifornia Institute of Technology, Division of Biology, Pasadena, CA 91125, USA. ipeter@caltech.edu
Eric H Davidson

Funding

Transcriptional Casualty in Embryonic Morphogenesis: from the Specifications GRNP01HD037105 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DAVIDSON, ERIC H · 1999 to 2018
$27.1M
NICHD NIH HHS HD37105NICHD NIH HHS P01 HD037105
6 · The paper itself

Abstract

The gene regulatory network (GRN) established experimentally for the pre-gastrular sea urchin embryo provides causal explanations of the biological functions required for spatial specification of embryonic regulatory states. Here we focus on the structure of the GRN which controls the progressive increase in complexity of territorial regulatory states during embryogenesis; and on the types of modular subcircuits of which the GRN is composed. Each of these subcircuit topologies executes a particular operation of spatial information processing. The GRN architecture reflects the particular mode of embryogenesis represented by sea urchin development. Network structure not only specifies the linkages constituting the genomic regulatory code for development, but also indicates the various regulatory requirements of regional developmental processes.

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksAnimalsEmbryo, NonmammalianGastrulaModels, GeneticSea Urchins

Identifiers

PMID19932099
PMCPMC2810318

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.