Evidence map›Paper›PMID 20354518›Full record

ReviewNature methods2010

Probing cellular events, one quantum dot at a time.

Fabien Pinaud, Samuel Clarke, Assa Sittner, Maxime Dahan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Interplay Between Intracellular Transport Dynamics and Liquid‒Liquid Phase Separation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Single molecule tracking of bacterial cell surface cytochromes reveals dynamics that impact long-distance electron transport.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Methods for Intracellular Delivery of Quantum Dots.Topics in current chemistry (Cham) · 2021
    Review
  14. Diagnostic and Therapeutic Nanomedicine.Advances in experimental medicine and biology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Quantum Dot Labelling of Tepary Bean (Molecules (Basel, Switzerland) · 2020
    Article
  19. Review
  20. High-Precision Protein-Tracking With Interferometric Scattering Microscopy.Frontiers in cell and developmental biology · 2020
    Article

60 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

4 authors.

Fabien PinaudLaboratoire Kastler Brossel, CNRS Unité de recherche 8552, Physics and Biology Department, Ecole normale supérieure, Université Pierre et Marie Curie, Paris 6, Paris, France.
Samuel Clarke
Assa Sittner
Maxime Dahan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the behavior of single molecules in living cells is a powerful approach to investigate the details of cellular processes. Owing to their optical, chemical and biofunctional properties, semiconductor quantum dot (QD) probes promise to be tools of choice in this endeavor. Here we review recent advances that allow ever more controlled experiments at the single-nanoparticle level in live cells. Several examples, related to membrane dynamics, cell signaling or intracellular transport, illustrate how single QD tracking can be readily used to decipher complex biological processes and address key concepts that underlie cellular organization and dynamics.

Indexed as

Quantum DotsCell Physiological PhenomenaCytological Techniques

Identifiers

PMID20354518

What OpenQuestion holds

Textmetadata
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.