Evidence map›Paper›PMID 27979907›Full record

ReviewThe Journal of cell biology2017

Watching cellular machinery in action, one molecule at a time.

Enrico Monachino, Lisanne M Spenkelink, Antoine M van Oijen

Abstract readReview
In one paragraph

Review in The Journal of cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Single-Cell Microfluidics: A Primer for Microbiologists.The journal of physical chemistry. B · 2024
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. DNA replication:Computational and structural biotechnology journal · 2021
    Review
  14. Article
  15. DNA replication machinery: Insights fromComputational and structural biotechnology journal · 2021
    Review
  16. Illuminating amyloid fibrils: Fluorescence-based single-molecule approaches.Computational and structural biotechnology journal · 2021
    Review
  17. Going with the flow: insights fromPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  18. Article
  19. Review
  20. 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

3 authors.

Enrico MonachinoCentre for Medical and Molecular Bioscience, Illawarra Health and Medical Research Institute and University of Wollongong, New South Wales 2522, Australia.ORCID http://orcid.org/0000-0002-2032-2950
Lisanne M SpenkelinkCentre for Medical and Molecular Bioscience, Illawarra Health and Medical Research Institute and University of Wollongong, New South Wales 2522, Australia.
Antoine M van OijenCentre for Medical and Molecular Bioscience, Illawarra Health and Medical Research Institute and University of Wollongong, New South Wales 2522, Australia vanoijen@uow.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule manipulation and imaging techniques have become important elements of the biologist's toolkit to gain mechanistic insights into cellular processes. By removing ensemble averaging, single-molecule methods provide unique access to the dynamic behavior of biomolecules. Recently, the use of these approaches has expanded to the study of complex multiprotein systems and has enabled detailed characterization of the behavior of individual molecules inside living cells. In this review, we provide an overview of the various force- and fluorescence-based single-molecule methods with applications both in vitro and in vivo, highlighting these advances by describing their applications in studies on cytoskeletal motors and DNA replication. We also discuss how single-molecule approaches have increased our understanding of the dynamic behavior of complex multiprotein systems. These methods have shown that the behavior of multicomponent protein complexes is highly stochastic and less linear and deterministic than previously thought. Further development of single-molecule tools will help to elucidate the molecular dynamics of these complex systems both inside the cell and in solutions with purified components.

Indexed as

Cell BiologyCytological TechniquesDNA ReplicationAnimalsBiosensing TechniquesCytoskeletal ProteinsFluorescence Resonance Energy TransferHumansMagneticsMicroscopy, Atomic ForceMicroscopy, FluorescenceModels, BiologicalMolecular ImagingMolecular Motor ProteinsOptical TweezersCytoskeletal ProteinsMolecular Motor Proteins

Identifiers

PMID27979907
PMCPMC5223611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.