Evidence map›Paper›PMID 34463760›Full record

ArticleDevelopment (Cambridge, England)2021

Size scaling in collective cell growth.

Rocky Diegmiller, Caroline A Doherty, Tomer Stern, Jasmin Imran Alsous, Stanislav Y Shvartsman

Open access · greenAbstract read
In one paragraph

Article in Development (Cambridge, England), 2021. 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
2.2field-weighted citation impact, top 11% 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, 11 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Rocky DiegmillerDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-6115-7891
Caroline A DohertyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Tomer SternLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-4279-3558
Jasmin Imran AlsousDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-9630-4775
Stanislav Y ShvartsmanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-9152-9334
Princeton University · US

Funding

Collective dynamics in cell clustersR01GM134204 · NIGMS · PRINCETON UNIVERSITY · PI Stanislav Y. Shvartsman · 2019 to 2026
$2.6M
Symmetry Breaking and Collective Cell Growth in Drosophila OogenesisF31HD098835 · NICHD · PRINCETON UNIVERSITY · PI DIEGMILLER, ROCKY · 2020 to 2021
$72k
NICHD NIH HHS F31 HD098835NIGMS NIH HHS R01 GM134204
6 · The paper itself

Abstract

Size is a fundamental feature of living entities and is intimately tied to their function. Scaling laws, which can be traced to D'Arcy Thompson and Julian Huxley, have emerged as a powerful tool for studying regulation of the growth dynamics of organisms and their constituent parts. Yet, throughout the 20th century, as scaling laws were established for single cells, quantitative studies of the coordinated growth of multicellular structures have lagged, largely owing to technical challenges associated with imaging and image processing. Here, we present a supervised learning approach for quantifying the growth dynamics of germline cysts during oogenesis. Our analysis uncovers growth patterns induced by the groupwise developmental dynamics among connected cells, and differential growth rates of their organelles. We also identify inter-organelle volumetric scaling laws, finding that nurse cell growth is linear over several orders of magnitude. Our approach leverages the ever-increasing quantity and quality of imaging data, and is readily amenable for studies of collective cell growth in other developmental contexts, including early mammalian embryogenesis and germline development.

Indexed as

AnimalsBiological EvolutionCell ProliferationDevelopmental BiologyDipteraGerm CellsOogenesisOrganellesAllometryDevelopmental dynamicsMulticellular clustersOogenesisSupervised learning

Identifiers

PMID34463760
PMCPMC8489028
OpenAlexW3198054947

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.