Evidence map›Paper›PMID 39664616›Full record

ArticlePRX life

Finding the last bits of positional information.

Lauren McGough, Helena Casademunt, Miloš Nikolić, Zoe Aridor, Mariela D Petkova, Thomas Gregor, William Bialek

Abstract read
In one paragraph

Article in PRX life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Positional information and information flows in dynamic tissues.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025
    Review
  5. Article
  6. Stochastic morphological swings inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Quantifying the genetic origins of body plan scaling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Scale invariance in early embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Limits on inferring T cell specificity from partial information.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Information content and optimization of self-organized developmental systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. 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

7 authors.

Lauren McGoughJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544 USA.
Helena CasademuntDepartment of Physics, Harvard University, Cambridge MA 02138.
Miloš NikolićJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544 USA.
Zoe AridorJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544 USA.
Mariela D PetkovaProgram in Biophysics, Harvard University, Cambridge MA 02138.
Thomas GregorJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544 USA.
William BialekJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544 USA.

Funding

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
NIGMS NIH HHS R01 GM077599NIGMS NIH HHS R01 GM097275
6 · The paper itself

Abstract

In a developing embryo, information about the position of cells is encoded in the concentrations of morphogen molecules. In the fruit fly, the local concentrations of just a handful of proteins encoded by the gap genes are sufficient to specify position with a precision comparable to the spacing between cells along the anterior-posterior axis. This matches the precision of downstream events such as the striped patterns of expression in the pair-rule genes, but is not quite sufficient to define unique identities for individual cells. We demonstrate theoretically that this information gap can be bridged if positional errors are spatially correlated, with correlation lengths ~ 20% of the embryo length. We then show experimentally that these correlations are present, with the required strength, in the fluctuating positions of the pair-rule stripes, and this can be traced back to the gap genes. Taking account of these correlations, the available information matches the information needed for unique cellular specification, within error bars of ~ 2%. These observation support a precisionist view of information flow through the underlying genetic networks, in which accurate signals are available from the start and preserved as they are transformed into the final spatial patterns.

Identifiers

PMID39664616
PMCPMC11633028

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.