Evidence map›Paper›PMID 30374016›Full record

ArticleNature communications2018

Homeostasis of protein and mRNA concentrations in growing cells.

Jie Lin, Ariel Amir

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 206 citations in OpenAlex.

  1. Article
  2. Cell Growth and Division Shape mRNA-Protein Correlations.bioRxiv : the preprint server for biology · 2026
    Article
  3. Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
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32 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Jie LinJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
Ariel AmirJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA. arielamir@seas.harvard.edu.ORCID http://orcid.org/0000-0003-2611-0139
Harvard University · US

Funding

National Science Foundation (NSF) DMR- 1420570
6 · The paper itself

Abstract

Many experiments show that the numbers of mRNA and protein are proportional to the cell volume in growing cells. However, models of stochastic gene expression often assume constant transcription rate per gene and constant translation rate per mRNA, which are incompatible with these experiments. Here, we construct a minimal gene expression model to fill this gap. Assuming ribosomes and RNA polymerases are limiting in gene expression, we show that the numbers of proteins and mRNAs both grow exponentially during the cell cycle and that the concentrations of all mRNAs and proteins achieve cellular homeostasis; the competition between genes for the RNA polymerases makes the transcription rate independent of the genome number. Furthermore, by extending the model to situations in which DNA (mRNA) can be saturated by RNA polymerases (ribosomes) and becomes limiting, we predict a transition from exponential to linear growth of cell volume as the protein-to-DNA ratio increases.

Indexed as

HomeostasisCell ProliferationDNA ReplicationGene Expression RegulationModels, BiologicalProteinsRNA, MessengerStochastic ProcessesProteinsRNA, Messenger

Identifiers

PMID30374016
PMCPMC6206055
OpenAlexW2952594353

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.