Evidence map›Paper›PMID 30712870›Full record

ArticleCell2019

Optimal Decoding of Cellular Identities in a Genetic Network.

Mariela D Petkova, Gašper Tkačik, William Bialek, Eric F Wieschaus, Thomas Gregor

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 194 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Nature physics · 2026
    Article
  8. Article
  9. Searching for physical principles of morphogenesis.Development (Cambridge, England) · 2025
    Review
  10. Article
  11. Review
  12. ChemotaxingbioRxiv : the preprint server for biology · 2025
    Article
  13. ChemotaxingArXiv · 2025
    Article
  14. Article
  15. Optogenetic control of Nodal signaling patterns.Development (Cambridge, England) · 2025
    Article
  16. Article
  17. Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Dynamics of positional information in the vertebrate neural tube.Journal of the Royal Society, Interface · 2024
    Article
  20. Article

28 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

5 authors at 3 institutions in 3 countries.

Mariela D PetkovaJoseph Henry Laboratories of Physics and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Program in Biophysics, Harvard University, Cambridge, MA 02138, USA.
Gašper TkačikInstitute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria.
William BialekJoseph Henry Laboratories of Physics and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Eric F WieschausDepartment of Molecular Biology and Howard Hughes Medical Institute, Princeton University, Princeton, NJ 08544, USA.
Thomas GregorJoseph Henry Laboratories of Physics and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Department of Developmental and Stem Cell Biology, UMR3738, Institut Pasteur, 75015 Paris, France. Electronic address: tg2@princeton.edu.
Princeton University · USHoward Hughes Medical Institute · USInstitute of Science and Technology Austria · AT

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI GAMMIE, ALISON E · 2004 to 2013
$30.6M
The Biophysical and Molecular Mechanisms of Reliability in DevelopmentR01GM097275 · NIGMS · PRINCETON UNIVERSITY · PI GREGOR, THOMAS · 2011 to 2024
$4.9M
Dynamics, scaling, and precision of morphogen gradients in the Drosophila embryoR01GM077599 · NIGMS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM · 2006 to 2009
$1.2M
Howard Hughes Medical InstituteNIGMS NIH HHS P50 GM071508NIGMS NIH HHS R01 GM077599NIGMS NIH HHS R01 GM097275
6 · The paper itself

Abstract

In developing organisms, spatially prescribed cell identities are thought to be determined by the expression levels of multiple genes. Quantitative tests of this idea, however, require a theoretical framework capable of exposing the rules and precision of cell specification over developmental time. We use the gap gene network in the early fly embryo as an example to show how expression levels of the four gap genes can be jointly decoded into an optimal specification of position with 1% accuracy. The decoder correctly predicts, with no free parameters, the dynamics of pair-rule expression patterns at different developmental time points and in various mutant backgrounds. Precise cellular identities are thus available at the earliest stages of development, contrasting the prevailing view of positional information being slowly refined across successive layers of the patterning network. Our results suggest that developmental enhancers closely approximate a mathematically optimal decoding strategy.

Indexed as

AnimalsBody PatterningCell DifferentiationDrosophila melanogasterDrosophila ProteinsEmbryonic DevelopmentEmbryo, NonmammalianGene Expression Regulation, DevelopmentalGene Regulatory NetworksGTPase-Activating ProteinsModels, GeneticTranscription FactorsDrosophila ProteinsGTPase-Activating ProteinsTranscription Factorscell fatecell specificationdevelopmental precisionDrosophilaembryonic patterninggenetic networksoptimalityquantitative imaging

Identifiers

PMID30712870
PMCPMC6526179
OpenAlexW2912276026

What OpenQuestion holds

Textmetadata
LicenceTDM
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.