Evidence map›Paper›PMID 25361898›Full record

ArticleGenetics2015

Positional information, positional error, and readout precision in morphogenesis: a mathematical framework.

Gašper Tkačik, Julien O Dubuis, Mariela D Petkova, Thomas Gregor

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Deriving a genetic regulatory network from an optimization principle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Scale invariance in early embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Information content and optimization of self-organized developmental systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Precise and scalable self-organization in mammalian pseudo-embryos.Nature structural & molecular biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The impact of cell size on morphogen gradient precision.Development (Cambridge, England) · 2023
    Article
  18. Article
  19. Ecological drivers of division of labour in Streptomyces.Current opinion in microbiology · 2022
    Review
  20. 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

4 authors.

Gašper TkačikInstitute of Science and Technology Austria, A-3400 Klosterneuburg, Austria gasper.tkacik@ist.ac.at.
Julien O DubuisJoseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey 08544 Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544.
Mariela D PetkovaJoseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey 08544.
Thomas GregorJoseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey 08544 Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544.

Funding

The Biophysical and Molecular Mechanisms of Reliability in DevelopmentR01GM097275 · NIGMS · PRINCETON UNIVERSITY · PI GREGOR, THOMAS · 2011 to 2024
$4.9M
NIGMS NIH HHS R01 GM097275
6 · The paper itself

Abstract

The concept of positional information is central to our understanding of how cells determine their location in a multicellular structure and thereby their developmental fates. Nevertheless, positional information has neither been defined mathematically nor quantified in a principled way. Here we provide an information-theoretic definition in the context of developmental gene expression patterns and examine the features of expression patterns that affect positional information quantitatively. We connect positional information with the concept of positional error and develop tools to directly measure information and error from experimental data. We illustrate our framework for the case of gap gene expression patterns in the early Drosophila embryo and show how information that is distributed among only four genes is sufficient to determine developmental fates with nearly single-cell resolution. Our approach can be generalized to a variety of different model systems; procedures and examples are discussed in detail.

Indexed as

Models, GeneticMorphogenesisAnimalsDrosophilaGene Expression Regulation, Developmentaldevelopmentpatterningpositional informationprecision

Identifiers

PMID25361898
PMCPMC4286692

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.