Evidence map›Paper›PMID 30902365›Full record

ArticleBiophysical journal2019

Quantifying Molecular Forces with Serially Connected Force Sensors.

Yousif Murad, Isaac T S Li

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Engineering tunable catch bonds with DNA.Nature communications · 2024
    Article
  4. Article
  5. Article
  6. Biophysical Approaches for Applying and Measuring Biological Forces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  7. Review
  8. Article
  9. Recent Advances in Cell Adhesive Force Microscopy.Sensors (Basel, Switzerland) · 2020
    Review
  10. Review
  11. Article
  12. Review
  13. Molecular Tension Sensors: Moving Beyond Force.Current opinion in biomedical engineering · 2019
    Article
  14. Review
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.

Yousif MuradDepartment of Chemistry, Biochemistry and Molecular Biology, The University of British Columbia, Kelowna, British Columbia, Canada.
Isaac T S LiDepartment of Chemistry, Biochemistry and Molecular Biology, The University of British Columbia, Kelowna, British Columbia, Canada. Electronic address: isaac.li@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the mechanical forces involved in cell adhesion, molecular force sensors have been developed to study tension through adhesion proteins. Recently, a class of molecular force sensors called tension gauge tethers (TGTs) have been developed that rely on irreversible force-dependent dissociation of a DNA duplex to study cell adhesion forces. Although the TGT offers a high signal-to-noise ratio and is ideal for studying fast/single-molecular adhesion processes, quantitative interpretation of experimental results has been challenging. Here, we use a computational approach to investigate how TGT fluorescence readout can be quantitatively interpreted. In particular, we studied force sensors made of a single TGT, multiplexed single TGTs, and two TGTs connected in series. Our results showed that fluorescence readout using a single TGT can result from drastically different combinations of force history and adhesion event density that span orders of magnitude. In addition, the apparent behavior of the TGT is influenced by the tethered receptor-ligand, making it necessary to calibrate the TGT with every new receptor-ligand. To solve this problem, we proposed a system of two serially connected TGTs. Our result shows that not only is the ratiometric readout of serial TGT independent of the choice of receptor-ligand, it is able to reconstruct force history with sub-pN force resolution. This is also not possible by simply multiplexing different types of TGTs together. Last, we systematically investigated how the sequence composition of the two serially connected TGTs can be tuned to achieve different dynamic range. This computational study demonstrated how serially connected irreversible molecular dissociation processes can accurately quantify molecular force and laid the foundation for subsequent experimental studies.

Indexed as

Stress, MechanicalBiosensing TechniquesCell Adhesion MoleculesDNAFluorescenceSingle Molecule ImagingSpectrum AnalysisCell Adhesion MoleculesDNA

Identifiers

PMID30902365
PMCPMC6451047

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.