Evidence map›Paper›PMID 36669211›Full record

ArticlePhysical review letters2023

Robustness and Universality in Organelle Size Control.

Kiandokht Panjtan Amiri, Asa Kalish, Shankar Mukherji

Open access · greenAbstract read
In one paragraph

Article in Physical review letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Kiandokht Panjtan AmiriDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA and Department of Cell Biology & Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Asa KalishDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA and Department of Cell Biology & Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Shankar MukherjiDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA and Department of Cell Biology & Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Washington University in St. Louis · US

Funding

The design principles of the eukaryotic cell: uncovering the coordination of systems-level organelle dynamics, metabolism and growthR35GM142704 · NIGMS · WASHINGTON UNIVERSITY · PI MUKHERJI, ARINDAM SHANKAR · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142704
6 · The paper itself

Abstract

One of the grand challenges in cellular biophysics is understanding the precision with which cells assemble and maintain subcellular structures. Organelle sizes, for example, must be flexible enough to allow cells to grow or shrink them as environments demand yet be maintained within homeostatic limits. Despite identification of molecular factors that regulate organelle sizes we lack insight into the quantitative principles underlying organelle size control. Here we show experimentally that cells can robustly control average fluctuations in organelle size. By demonstrating that organelle sizes obey a universal scaling relationship we predict theoretically, our framework suggests that organelles grow in random bursts from a limiting pool of building blocks. Burstlike growth provides a general biophysical mechanism by which cells can maintain on average reliable yet plastic organelle sizes.

Indexed as

OrganellesOrganelle Size

Identifiers

PMID36669211
PMCPMC10316456
OpenAlexW4313597127

What OpenQuestion holds

Textmetadata
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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.