Evidence map›Paper›PMID 39714909›Full record

ArticleeLife2024

Genome concentration limits cell growth and modulates proteome composition in

Jarno Mäkelä, Alexandros Papagiannakis, Wei-Hsiang Lin, Michael Charles Lanz, Skye Glenn, Matthew Swaffer, Georgi K Marinov, Jan M Skotheim, Christine Jacobs-Wagner

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  6. Review
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  13. Journal of bacteriology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. bioRxiv : the preprint server for biology · 2024
    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

9 authors.

Jarno Mäkelä *Howard Hughes Medical Institute, Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0003-1844-2619
Alexandros Papagiannakis *Howard Hughes Medical Institute, Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0002-6363-804X
Wei-Hsiang Lin *Howard Hughes Medical Institute, Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0001-8177-5892
Michael Charles Lanz *Department of Biology, Stanford University, Stanford, United States.
Skye GlennSarafan Chemistry, Engineering, and Medicine for Human Health Institute, Stanford University, Stanford, United States.
Matthew SwafferDepartment of Biology, Stanford University, Stanford, United States.
Georgi K MarinovDepartment of Genetics, Stanford University, Stanford, United States.
Jan M SkotheimDepartment of Biology, Stanford University, Stanford, United States.
Christine Jacobs-WagnerHoward Hughes Medical Institute, Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0003-0980-5334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining the cellular factors that drive growth rate and proteome composition is essential for understanding and manipulating cellular systems. In bacteria, ribosome concentration is known to be a constraining factor of cell growth rate, while gene concentration is usually assumed not to be limiting. Here, using single-molecule tracking, quantitative single-cell microscopy, and modeling, we show that genome dilution in

Indexed as

Escherichia coliProteomeCaulobacter crescentusDNA ReplicationEscherichia coli ProteinsGene Expression Regulation, BacterialGenome, BacterialRibosomesEscherichia coli ProteinsProteomeCaulobacter crescentuscell biologycell growthE. colilimitationproteome allocationribosomestranscription

Identifiers

PMID39714909
PMCPMC11666246

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.