Evidence map›Paper›PMID 25353361›Full record

ArticleMolecular microbiology2015

Genome-scale quantitative characterization of bacterial protein localization dynamics throughout the cell cycle.

Nathan J Kuwada, Beth Traxler, Paul A Wiggins

Open access · hybridAbstract read
In one paragraph

Article in Molecular microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Protein overabundance is driven by growth robustness.bioRxiv : the preprint server for biology · 2025
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  5. Challenging a decades-old paradigm: ProB and ProA do not channel the unstable intermediate in proline synthesis after all.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  16. Clusters of bacterial RNA polymerase are biomolecular condensates that assemble through liquid-liquid phase separation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Review
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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

3 authors at 1 institution in 1 country.

Nathan J KuwadaDepartment of Physics, University of Washington, Seattle, WA, 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA.
Beth Traxler
Paul A Wiggins
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial cells display both spatial and temporal organization, and this complex structure is known to play a central role in cellular function. Although nearly one-fifth of all proteins in Escherichia coli localize to specific subcellular locations, fundamental questions remain about how cellular-scale structure is encoded at the level of molecular-scale interactions. One significant limitation to our understanding is that the localization behavior of only a small subset of proteins has been characterized in detail. As an essential step toward a global model of protein localization in bacteria, we capture and quantitatively analyze spatial and temporal protein localization patterns throughout the cell cycle for nearly every protein in E. coli that exhibits nondiffuse localization. This genome-scale analysis reveals significant complexity in patterning, notably in the behavior of DNA-binding proteins. Complete cell-cycle imaging also facilitates analysis of protein partitioning to daughter cells at division, revealing a broad and robust assortment of asymmetric partitioning behaviors.

Indexed as

Genome, BacterialCell CycleDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsProtein TransportDNA-Binding ProteinsEscherichia coli Proteins

Identifiers

PMID25353361
PMCPMC4309519
OpenAlexW2121182479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.