Evidence map›Paper›PMID 32723476›Full record

ArticleeLife2020

A mechanism for

Jonathan Desponds, Massimo Vergassola, Aleksandra M Walczak

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. 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
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Theoretical limits for sensing through phase separation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Competing constraints shape the nonequilibrium limits of cellular decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Latent space of a small genetic network: Geometry of dynamics and information.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Bacteriophage self-counting in the presence of viral replication.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Review
  11. Review
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

3 authors at 2 institutions in 2 countries.

Jonathan DespondsPhysics Department, University of California, San Diego, La Jolla, United States.ORCID 0000-0001-7112-3217
Massimo VergassolaPhysics Department, University of California, San Diego, La Jolla, United States.ORCID 0000-0002-7212-8244
Aleksandra M WalczakLaboratoire de Physique, Ecole Normale Supérieure, PSL Research University, CNRS, Sorbonne Université, Paris, France.ORCID 0000-0002-2686-5702
San Diego State University · USCentre National de la Recherche Scientifique · FR

Funding

National Science Foundation PoLS Grant 1411313
6 · The paper itself

Abstract

Cell fate decisions in the fly embryo are rapid: hunchback genes decide in minutes whether nuclei follow the anterior/posterior developmental blueprint by reading out positional information in the Bicoid morphogen. This developmental system is a prototype of regulatory decision processes that combine speed and accuracy. Traditional arguments based on fixed-time sampling of Bicoid concentration indicate that an accurate readout is impossible within the experimental times. This raises the general issue of how speed-accuracy tradeoffs are achieved. Here, we compare fixed-time to on-the-fly decisions, based on comparing the likelihoods of anterior/posterior locations. We found that these more efficient schemes complete reliable cell fate decisions within the short embryological timescales. We discuss the influence of promoter architectures on decision times and error rates, present concrete examples that rapidly readout the morphogen, and predictions for new experiments. Lastly, we suggest a simple mechanism for RNA production and degradation that approximates the log-likelihood function.

Indexed as

AnimalsDNA-Binding ProteinsDrosophila melanogasterDrosophila ProteinsEmbryo, NonmammalianHomeodomain ProteinsModels, GeneticPromoter Regions, GeneticTrans-ActivatorsTranscription Factorsbcd protein, DrosophilaDNA-Binding ProteinsDrosophila Proteinshb protein, DrosophilaHomeodomain ProteinsTrans-ActivatorsTranscription Factorsbiological decisionscell fateD. melanogasterDrosophilamorphogenesisphysics of living systemsregulationspeed-accuracy

Identifiers

PMID32723476
PMCPMC7428309
OpenAlexW3045795888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.