Evidence map›Paper›PMID 28584110›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Assessing regulatory information in developmental gene regulatory networks.

Isabelle S Peter, Eric H Davidson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 92 citations in OpenAlex.

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  16. What's next for computational systems biology?Frontiers in systems biology · 2023
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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 at 1 institution in 1 country.

Isabelle S PeterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125 ipeter@caltech.edu.
Eric H DavidsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
California Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene regulatory networks (GRNs) provide a transformation function between the static genomic sequence and the primary spatial specification processes operating development. The regulatory information encompassed in developmental GRNs thus goes far beyond the control of individual genes. We here address regulatory information at different levels of network organization, from single node to subcircuit to large-scale GRNs and discuss how regulatory design features such as network architecture, hierarchical organization, and

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksAnimalsFeedback, PhysiologicalModels, BiologicalSea UrchinsBoolean modelingcircuit functiondevelopmental GRNnetwork hierarchynetwork topology

Identifiers

PMID28584110
PMCPMC5468647
OpenAlexW2623585200

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.