Evidence map›Paper›PMID 20019065›Full record

ArticleNucleic acids research2010

Cell cycle-dependent variations in protein concentration.

Natalie A Cookson, Scott W Cookson, Lev S Tsimring, Jeff Hasty

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
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  10. SystematicACS synthetic biology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Scaling of Subcellular Structures.Annual review of cell and developmental biology · 2020
    Review
  16. Article
  17. Article
  18. 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

4 authors.

Natalie A CooksonDepartment of Bioengineering, BioCircuits Institute, Molecular Biology Section, Division of Biology, University of California, San Diego, La Jolla, CA 92093, USA.
Scott W Cookson
Lev S Tsimring
Jeff Hasty

Funding

Metabolic Control in a Dynamic EnvironmentR01GM079333 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M · 2007 to 2014
$3.3M
NIGMS NIH HHS GM07933NIGMS NIH HHS R01 GM079333
6 · The paper itself

Abstract

Computational modeling of biological systems has become an effective tool for analyzing cellular behavior and for elucidating key properties of the intricate networks that underlie experimental observations. While most modeling techniques rely heavily on the concentrations of intracellular molecules, little attention has been paid to tracking and simulating the significant volume fluctuations that occur over each cell division cycle. Here, we use fluorescence microscopy to acquire single cell volume trajectories for a large population of Saccharomyces cerevisiae cells. Using this data, we generate a comprehensive set of statistics that govern the growth and division of these cells over many generations, and we discover several interesting trends in their size, growth and protein production characteristics. We use these statistics to develop an accurate model of cell cycle volume dynamics, starting at cell birth. Finally, we demonstrate the importance of tracking volume fluctuations by combining cell division dynamics with a minimal gene expression model for a constitutively expressed fluorescent protein. The significant oscillations in the cellular concentration of a stable, highly expressed protein mimic the observed experimental trajectories and demonstrate the fundamental impact that the cell cycle has on cellular functions.

Indexed as

Gene ExpressionCell CycleCell Growth ProcessesData Interpretation, StatisticalFlow CytometryFluorescent DyesLuminescent ProteinsMicroscopy, FluorescenceSaccharomyces cerevisiaeFluorescent DyesLuminescent Proteins

Identifiers

PMID20019065
PMCPMC2860113

What OpenQuestion holds

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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.