Evidence map›Paper›PMID 24336182›Full record

ReviewNature reviews. Microbiology2014

Exploring bacterial cell biology with single-molecule tracking and super-resolution imaging.

Andreas Gahlmann, W E Moerner

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
  2. Mimicking Cellular Membranes With Micropatterned Lipid Bilayers.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Live-cell imaging powered by computation.Nature reviews. Molecular cell biology · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Advanced Microscopy Techniques for Molecular Biophysics.International journal of molecular sciences · 2023
    Review
  19. Article
  20. BNP-Track: A framework for multi-particle superresolved tracking.bioRxiv : the preprint server for biology · 2023
    Article

44 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.

Andreas GahlmannDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.
W E MoernerDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.

Funding

Subcellular architecture of regulatory protein complexes at the bacterial poleR01GM086196 · NIGMS · STANFORD UNIVERSITY · PI MOERNER, WILLIAM E, SHAPIRO, LUCILLE · 2008 to 2015
$4.7M
NIGMS NIH HHS R01 GM086196NIGMS NIH HHS R01GM086196
6 · The paper itself

Abstract

The ability to detect single molecules in live bacterial cells enables us to probe biological events one molecule at a time and thereby gain knowledge of the activities of intracellular molecules that remain obscure in conventional ensemble-averaged measurements. Single-molecule fluorescence tracking and super-resolution imaging are thus providing a new window into bacterial cells and facilitating the elucidation of cellular processes at an unprecedented level of sensitivity, specificity and spatial resolution. In this Review, we consider what these technologies have taught us about the bacterial cytoskeleton, nucleoid organization and the dynamic processes of transcription and translation, and we also highlight the methodological improvements that are needed to address a number of experimental challenges in the field.

Indexed as

BacteriaBacterial ProteinsChromosomes, BacterialCytoskeletonDNA, BacterialMicroscopy, FluorescenceNanotechnologyBacterial ProteinsDNA, Bacterial

Identifiers

PMID24336182
PMCPMC3934628

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.