Evidence map›Paper›PMID 28867205›Full record

ArticleCurrent biology : CB2017

Collective Growth in a Small Cell Network.

Jasmin Imran Alsous, Paul Villoutreix, Alexander M Berezhkovskii, Stanislav Y Shvartsman

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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  6. Article
  7. Article
  8. Review
  9. Live Imaging of Nurse Cell Behavior in Late Stages of Drosophila Oogenesis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Size scaling in collective cell growth.Development (Cambridge, England) · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Dynamics of hydraulic and contractile wave-mediated fluid transport duringProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  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

4 authors at 2 institutions in 1 country.

Jasmin Imran AlsousDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA; The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Paul VilloutreixThe Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Alexander M BerezhkovskiiCenter for Information Technology, NIH, Bethesda, MD 20892, USA.
Stanislav Y ShvartsmanDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA; The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA. Electronic address: stas@princeton.edu.
Princeton University · USCenter for Information Technology · US

Funding

Modeling of kinetic processes in biological systemsZIACT000273 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI BEREZHKOVSKII, ALEXANDER · 2009 to 2021
$2.1M
Dynamics of epithelial morphogenesisR01GM107103 · NIGMS · PRINCETON UNIVERSITY · PI SHVARTSMAN, STANISLAV Y. · 2014 to 2017
$1.2M
NIGMS NIH HHS R01 GM107103
6 · The paper itself

Abstract

Theoretical studies suggest that many of the emergent properties associated with multicellular systems arise already in small networks [1, 2]. However, the number of experimental models that can be used to explore collective dynamics in well-defined cell networks is still very limited. Here we focus on collective cell behavior in the female germline cyst in Drosophila melanogaster, a stereotypically wired network of 16 cells that grows by ∼4 orders of magnitude with unequal distribution of volume among its constituents. We quantify multicellular growth with single-cell resolution and show that proximity to the oocyte, as defined on the network, is the principal factor that determines cell size; consequently, cells grow in groups. To rationalize this emergent pattern of cell sizes, we propose a tractable mathematical model that depends on intercellular transport on a cell lineage tree. In addition to correctly predicting the divergent pattern of cell sizes, this model reveals allometric growth of cells within the network, an emergent property of this system and a feature commonly associated with differential growth on an organismal scale [3].

Indexed as

Cell EnlargementCell LineageAnimalsDrosophila melanogasterFemaleOocytescollective growthDrosophilaemergent behaviornetworksoogenesis

Identifiers

PMID28867205
PMCPMC6333208
OpenAlexW2751255977

What OpenQuestion holds

Textmetadata
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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.