Evidence map›Paper›PMID 35214978›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing.

Abbas Mgharbel, Camille Migdal, Nicolas Bouchonville, Paul Dupenloup, David Fuard, Eline Lopez-Soler, Caterina Tomba, Marie Courçon, Danielle Gulino-Debrac, Héléne Delanoë-Ayari and 1 more

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Visible-Light Stiffness Patterning of GelMA Hydrogels TowardsFrontiers in cell and developmental biology · 2022
    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

11 authors.

Abbas MgharbelUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.
Camille MigdalUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.
Nicolas BouchonvilleUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.
Paul DupenloupUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.
David FuardUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.
Eline Lopez-SolerUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.ORCID 0000-0003-3440-8533
Caterina TombaUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.ORCID 0000-0003-4634-1073
Marie CourçonUniversity Grenoble Alps, CEA, CNRS, Inserm, BIG-BCI, 38000 Grenoble, France.ORCID 0000-0001-7152-1768
Danielle Gulino-DebracUniversity Grenoble Alps, CEA, CNRS, Inserm, BIG-BCI, 38000 Grenoble, France.ORCID 0000-0002-8054-2533
Héléne Delanoë-AyariUniversité de Lyon, University Claude Bernard Lyon1, CNRS, Institut Lumière Matière, 69622 Villeurbanne, France.ORCID 0000-0002-8658-3942
Alice NicolasUniversity Grenoble Alps, CNRS, LTM, 38000 Grenoble, France.ORCID 0000-0003-1758-1174

Funding

Agence Nationale de la Recherche ANR-12- JSVE5-0008
6 · The paper itself

Abstract

Cell rigidity sensing-a basic cellular process allowing cells to adapt to mechanical cues-involves cell capabilities exerting force on the extracellular environment. In vivo, cells are exposed to multi-scaled heterogeneities in the mechanical properties of the surroundings. Here, we investigate whether cells are able to sense micron-scaled stiffness textures by measuring the forces they transmit to the extracellular matrix. To this end, we propose an efficient photochemistry of polyacrylamide hydrogels to design micron-scale stiffness patterns with kPa/µm gradients. Additionally, we propose an original protocol for the surface coating of adhesion proteins, which allows tuning the surface density from fully coupled to fully independent of the stiffness pattern. This evidences that cells pull on their surroundings by adjusting the level of stress to the micron-scaled stiffness. This conclusion was achieved through improvements in the traction force microscopy technique, e.g., adapting to substrates with a non-uniform stiffness and achieving a submicron resolution thanks to the implementation of a pyramidal optical flow algorithm. These developments provide tools for enhancing the current understanding of the contribution of stiffness alterations in many pathologies, including cancer.

Indexed as

cell ADHESIONgray-leveled lithographyhydrogelmechanosensitivitystiffness patterningtraction force microscopy

Identifiers

PMID35214978
PMCPMC8880377

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Registered trials

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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.