Evidence map›Paper›PMID 39452789›Full record

ArticleMethods and protocols2024

A Scalable Method to Fabricate 2D Hydrogel Substrates for Mechanobiology Studies with Independent Tuning of Adhesiveness and Stiffness.

Alessandro Gandin, Veronica Torresan, Tito Panciera, Giovanna Brusatin

Abstract read
In one paragraph

Article in Methods and protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Alessandro GandinDepartment of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova, PD, Italy.ORCID 0000-0002-0522-2695
Veronica TorresanDepartment of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova, PD, Italy.ORCID 0000-0002-2126-8554
Tito PancieraDepartment of Molecular Medicine, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, PD, Italy.
Giovanna BrusatinDepartment of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova, PD, Italy.ORCID 0000-0002-5219-8376

Funding

Fondazione Cariverona 52322Italian Ministry of University and Research (MUR) National Recovery and Resilience PlanUniversity of Padua SID 2023
6 · The paper itself

Abstract

Mechanical signals from the extracellular matrix are crucial in guiding cellular behavior. Two-dimensional hydrogel substrates for cell cultures serve as exceptional tools for mechanobiology studies because they mimic the biomechanical and adhesive characteristics of natural environments. However, the interdisciplinary knowledge required to synthetize and manipulate these biomaterials typically restricts their widespread use in biological laboratories, which may not have the material science expertise or specialized instrumentation. To address this, we propose a scalable method that requires minimal setup to produce 2D hydrogel substrates with independent modulation of the rigidity and adhesiveness within the range typical of natural tissues. In this method, norbornene-terminated 8-arm polyethylene glycol is stoichiometrically functionalized with RGD peptides and crosslinked with a di-cysteine terminated peptide via a thiol-ene click reaction. Since the synthesis process significantly influences the final properties of the hydrogels, we provide a detailed description of the chemical procedure to ensure reproducibility and high throughput results. We demonstrate examples of cell mechanosignaling by monitoring the activation state of the mechanoeffector proteins YAP/TAZ. This method effectively dissects the influence of biophysical and adhesive cues on cell behavior. We believe that our procedure will be easily adopted by other cell biology laboratories, improving its accessibility and practical application.

Indexed as

2D substratesadhesivenessmechanobiologyPEG-hydrogelsstiffness

Identifiers

PMID39452789
PMCPMC11510107

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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.