Evidence map›Paper›PMID 30121743›Full record

ReviewBiophysical reviews2018

Biophysical nanotools for single-molecule dynamics.

Qian Peter Su, Lining Arnold Ju

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biophysical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Micropipette-based biomechanical nanotools on living cells.European biophysics journal : EBJ · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Dynamic bonds and their roles in mechanosensing.Current opinion in chemical biology · 2019
    Review
  12. Review
  13. Review
  14. Article
  15. 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

2 authors.

Qian Peter SuInstitute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia. qian.su@uts.edu.au.ORCID http://orcid.org/0000-0001-7364-3945
Lining Arnold JuCharles Perkins Centre and Heart Research Institute, University of Sydney, Camperdown, New South Wales, 2006, Australia. arnold.ju@sydney.edu.au.ORCID http://orcid.org/0000-0002-7591-0864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The focus of the cell biology field is now shifting from characterizing cellular activities to organelle and molecular behaviors. This process accompanies the development of new biophysical visualization techniques that offer high spatial and temporal resolutions with ultra-sensitivity and low cell toxicity. They allow the biology research community to observe dynamic behaviors from scales of single molecules, organelles, cells to organoids, and even live animal tissues. In this review, we summarize these biophysical techniques into two major classes: the mechanical nanotools like dynamic force spectroscopy (DFS) and the optical nanotools like single-molecule and super-resolution microscopy. We also discuss their applications in elucidating molecular dynamics and functionally mapping of interactions between inter-cellular networks and intra-cellular components, which is key to understanding cellular processes such as adhesion, trafficking, inheritance, and division.

Indexed as

Biophysical nanotoolsDynamic Force Spectroscopy (DFS)Single-molecule micrcoscopySuper-resolution microscopy

Identifiers

PMID30121743
PMCPMC6233351

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.