Evidence map›Paper›PMID 34811382›Full record

ArticleScientific reports2021

Simple yet effective methods to probe hydrogel stiffness for mechanobiology.

Alessandro Gandin, Yaswanth Murugesan, Veronica Torresan, Lorenzo Ulliana, Anna Citron, Paolo Contessotto, Giusy Battilana, Tito Panciera, Maurizio Ventre, A Paolo Netti and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

13 authors at 4 institutions in 1 country.

Alessandro Gandin *Department of Industrial Engineering, University of Padova and INSTM, via Marzolo 9, 35131, Padova, Italy.
Yaswanth Murugesan *Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131, Padova, Italy.
Veronica TorresanDepartment of Industrial Engineering, University of Padova and INSTM, via Marzolo 9, 35131, Padova, Italy.
Lorenzo UllianaDepartment of Industrial Engineering, University of Padova and INSTM, via Marzolo 9, 35131, Padova, Italy.
Anna CitronDepartment of Molecular Medicine, University of Padova, via Ugo Bassi 58/B, 35131, Padova, Italy.
Paolo ContessottoDepartment of Molecular Medicine, University of Padova, via Ugo Bassi 58/B, 35131, Padova, Italy.
Giusy BattilanaDepartment of Molecular Medicine, University of Padova, via Ugo Bassi 58/B, 35131, Padova, Italy.
Tito PancieraDepartment of Molecular Medicine, University of Padova, via Ugo Bassi 58/B, 35131, Padova, Italy.
Maurizio Ventre *Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, 80125, Naples, Italy.
A Paolo NettiDepartment of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, 80125, Naples, Italy.
Lucia NicolaDepartment of Industrial Engineering, University of Padova, via Marzolo 9, 35131, Padova, Italy.
Stefano PiccoloDepartment of Molecular Medicine, University of Padova, via Ugo Bassi 58/B, 35131, Padova, Italy.
Giovanna BrusatinDepartment of Industrial Engineering, University of Padova and INSTM, via Marzolo 9, 35131, Padova, Italy. giovanna.brusatin@unipd.it.
University of Padua · ITCenter for Advanced Biomaterials for Healthcare · ITNational Interuniversity Consortium of Materials Science and Technology · ITUniversity of Naples Federico II · IT

Funding

European Research Council 681813Fondazione Cassa di Risparmio di Padova e Rovigo Sensing Cell MechanicsUniversità degli Studi di Padova New biomaterials and microtechnologies to reverse engineer the microenvironment of tissue-specific stem cells
6 · The paper itself

Abstract

In spite of tremendous advances made in the comprehension of mechanotransduction, implementation of mechanobiology assays remains challenging for the broad community of cell biologists. Hydrogel substrates with tunable stiffness are essential tool in mechanobiology, allowing to investigate the effects of mechanical signals on cell behavior. A bottleneck that slows down the popularization of hydrogel formulations for mechanobiology is the assessment of their stiffness, typically requiring expensive and sophisticated methodologies in the domain of material science. Here we overcome such barriers offering the reader protocols to set-up and interpret two straightforward, low cost and high-throughput tools to measure hydrogel stiffness: static macroindentation and micropipette aspiration. We advanced on how to build up these tools and on the underlying theoretical modeling. Specifically, we validated our tools by comparing them with leading techniques used for measuring hydrogel stiffness (atomic force microscopy, uniaxial compression and rheometric analysis) with consistent results on PAA hydrogels or their modification. In so doing, we also took advantage of YAP/TAZ nuclear localization as biologically validated and sensitive readers of mechanosensing, all in all presenting a suite of biologically and theoretically proven protocols to be implemented in most biological laboratories to approach mechanobiology.

Identifiers

PMID34811382
PMCPMC8608946
OpenAlexW3214996510

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.