Evidence map›Paper›PMID 35188101›Full record

ArticleeLife2022

Cellular organization in lab-evolved and extant multicellular species obeys a maximum entropy law.

Thomas C Day, Stephanie S Höhn, Seyed A Zamani-Dahaj, David Yanni, Anthony Burnetti, Jennifer Pentz, Aurelia R Honerkamp-Smith, Hugo Wioland, Hannah R Sleath, William C Ratcliff and 2 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Geometric ordering in bacterial communities.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  6. Optimal disk packing of chloroplasts in plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. A thermodynamic perspective on mammalian neural crest ingression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Spatiotemporal distribution of the glycoprotein pherophorin II reveals stochastic geometry of the growing ECM ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. The 2025 motile active matter roadmap.Journal of physics. Condensed matter : an Institute of Physics journal · 2025
    Review
  12. A fitness distribution law for amino-acid replacements.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

12 authors at 2 institutions in 3 countries.

Thomas C DaySchool of Physics, Georgia Institute of Technology, Atlanta, United States.ORCID 0000-0003-4681-9348
Stephanie S HöhnDepartment of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1815-705X
Seyed A Zamani-DahajSchool of Physics, Georgia Institute of Technology, Atlanta, United States.
David YanniSchool of Physics, Georgia Institute of Technology, Atlanta, United States.
Anthony BurnettiSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.
Jennifer PentzSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.
Aurelia R Honerkamp-SmithDepartment of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom.
Hugo WiolandDepartment of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom.
Hannah R SleathDepartment of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom.
William C RatcliffSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.
Raymond E GoldsteinDepartment of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-2645-0598
Peter J YunkerSchool of Physics, Georgia Institute of Technology, Atlanta, United States.ORCID 0000-0001-8471-4171
Georgia Institute of Technology · USUniversity of Cambridge · GB

Funding

Using directed evolution to study the origins of multicellular development.R35GM138030 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI William Croft Ratcliff · 2020 to 2026
$2.8M
The Biophysical Foundations of Bacterial Biofilm Growth and SurvivalR35GM138354 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Peter Yunker · 2020 to 2026
$2.0M
NIGMS NIH HHS R35 GM138030NIGMS NIH HHS R35 GM138354Wellcome Trust 207510/Z/17/Z
6 · The paper itself

Abstract

The prevalence of multicellular organisms is due in part to their ability to form complex structures. How cells pack in these structures is a fundamental biophysical issue, underlying their functional properties. However, much remains unknown about how cell packing geometries arise, and how they are affected by random noise during growth - especially absent developmental programs. Here, we quantify the statistics of cellular neighborhoods of two different multicellular eukaryotes: lab-evolved 'snowflake' yeast and the green alga

Indexed as

Directed Molecular EvolutionCell SizePhylogenyVolvoxYeastsentropymulticellularityphysics of living systemsS. cerevisiaeSnowflake yeastVolvox

Identifiers

PMID35188101
PMCPMC8860445
OpenAlexW3188139055

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.