Evidence map›Paper›PMID 36975035›Full record

ArticleNano letters2023

4D Force Detection of Cell Adhesion and Contractility.

Nafsika Chala, Xinyu Zhang, Tomaso Zambelli, Ziyi Zhang, Teseo Schneider, Daniele Panozzo, Dimos Poulikakos, Aldo Ferrari

Open access · hybridAbstract read
In one paragraph

Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 3 institutions in 3 countries.

Nafsika ChalaLaboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland.ORCID 0000-0002-2293-6585
Xinyu ZhangLaboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, Zurich 8092, Switzerland.
Tomaso ZambelliLaboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, Zurich 8092, Switzerland.
Ziyi ZhangCourant Institute of Mathematical Sciences, New York University, 5th Avenue 60, New York, New York 10011, United States.
Teseo SchneiderDepartment of Computer Science, University of Victoria, 3800 Finnerty Road, Engineering & Computer Science Building, Victoria, BC V8P 5C2, Canada.
Daniele PanozzoCourant Institute of Mathematical Sciences, New York University, 5th Avenue 60, New York, New York 10011, United States.
Dimos PoulikakosLaboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland.ORCID 0000-0001-5733-6478
Aldo FerrariLaboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland.
ETH Zurich · CHCourant Institute of Mathematical Sciences · USUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical signals establish two-way communication between mammalian cells and their environment. Cells contacting a surface exert forces via contractility and transmit them at the areas of focal adhesions. External stimuli, such as compressive and pulling forces, typically affect the adhesion-free cell surface. Here, we demonstrate the collaborative employment of Fluidic Force Microscopy and confocal Traction Force Microscopy supported by the Cellogram solver to enable a powerful integrated force probing approach, where controlled vertical forces are applied to the free surface of individual cells, while the concomitant deformations are used to map their transmission to the substrate. Force transmission across human cells is measured with unprecedented temporal and spatial resolution, enabling the investigation of the cellular mechanisms involved in the adaptation, or maladaptation, to external mechanical stimuli. Altogether, the system enables facile and precise force interrogation of individual cells, with the capacity to perform population-based analysis.

Indexed as

Cell AdhesionExtracellular MatrixFocal AdhesionsMechanotransduction, CellularAnimalsCell MembraneHumansMammalsMechanical PhenomenaMicroscopy, Atomic Forceactomyosin contractilitycell compressionFluidFMsingle-cell force spectroscopytraction force microscopy

Identifiers

PMID36975035
PMCPMC10103301
OpenAlexW4361190926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.