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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

The protocol presents a complete workflow for soft material nanoindentation experiments, including hydrogels and cells. First, the experimental steps to acquire force spectroscopy data are detailed; then, the analysis of such data is detailed through a newly developed open-source Python software, which is free to download from GitHub.

Abstract

Nanoindentation refers to a class of experimental techniques where a micrometric force probe is used to quantify the local mechanical properties of soft biomaterials and cells. This approach has gained a central role in the fields of mechanobiology, biomaterials design and tissue engineering, to obtain a proper mechanical characterization of soft materials with a resolution comparable to the size of single cells (μm). The most popular strategy to acquire such experimental data is to employ an atomic force microscope (AFM); while this instrument offers an unprecedented resolution in force (down to pN) and space (sub-nm), its usability is often limited by its complexity that prevents routine measurements of integral indicators of mechanical properties, such as Young's Modulus (E). A new generation of nanoindenters, such as those based on optical fiber sensing technology, has recently gained popularity for its ease of integration while allowing to apply sub-nN forces with µm spatial resolution, therefore being suitable to probe local mechanical properties of hydrogels and cells.

In this protocol, a step-by-step guide detailing the experimental procedure to acquire nanoindentation data on hydrogels and cells using a commercially available ferrule-top optical fiber sensing nanoindenter is presented. Whereas some steps are specific to the instrument used herein, the proposed protocol can be taken as a guide for other nanoindentation devices, granted some steps are adapted according to the manufacturer's guidelines. Further, a new open-source Python software equipped with a user-friendly graphical user interface for the analysis of nanoindentation data is presented, which allows for screening of incorrectly acquired curves, data filtering, computation of the contact point through different numerical procedures, the conventional computation of E, as well as a more advanced analysis particularly suited for single-cell nanoindentation data.

Introduction

The fundamental role of mechanics in biology is nowadays established1,2. From whole tissues to single cells, mechanical properties can inform about the pathophysiological state of the biomaterial under investigation3,4. For example, breast tissue affected by cancer is stiffer than healthy tissue, a concept that is the basis of the popular palpation test5. Notably, it has been recently shown that the coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is underlined by changes....

Protocol

1. Preparation of substrates/cells for nanoindentation measurements

  1. Follow the steps given in the Supplementary Protocol for preparation of PAAm hydrogels/cells for nanoindentation experiments. The procedure is summarized in Figure 2.
    NOTE: PAAm hydrogels have been chosen as they are the most common hydrogels used within the field of mechanobiology. However, the protocol is equally applicable to any type of hydrogel25

Representative Results

Following the protocol, a set of F-z curves is obtained. The dataset will most likely contain good curves, and curves to be discarded before continuing with the analysis. In general, curves should be discarded if their shape is different from the one shown in Figure 4A. Figure 5AI shows a dataset of ~100 curves obtained on a soft PAAm hydrogel of expected E 0.8 KPa35 uploaded in the NanoPrepare GUI. Most curves present a.......

Discussion

This protocol shows how to robustly acquire force spectroscopy nanoindentation data using a commercially available ferrule-top nanoindenter on both hydrogels and single cells. In addition, instructions for the use of an open-source software programmed in Python comprising a precise workflow for the analysis of nanoindentation data are provided.

Critical steps in the protocol
The following steps have been identified to be of particular importance when following this proto.......

Acknowledgements

GC and MAGO acknowledge all members of the CeMi. MSS acknowledges support via an EPSRC Programme Grant (EP/P001114/1).

GC: software (contribution to software development and algorithms), formal analysis (analysis of nanoindentation data), validation, Investigation (nanoindentation experiments on polyacrylamide gels), data curation, writing (original draft, review and editing), visualization (figures and graphs). MAGO: investigation (preparation of gels and cells samples, nanoindentation experiments on cells), writing (original draft, review and editing), visualization (figures and graphs). ....

Materials

NameCompanyCatalog NumberComments
12 mm coverslipsVWR631-1577P
35 mm cell treated culture dishesGreiner CELLSTAR627160
AcrylamideSigma-AldrichA4058
AcrylsilaneAlfa AesarL16400
Ammonium PersulfateMerk7727-54-0
BisacrylamideMerk110-26-9
Chiaro nanoindenterOptics 11 Life no catologue number
Ethanolgeneral
Fetal bovine serumGibco16140071
High glucose DMEMGibco11995065
Isopropanolgeneral
KimwipeKimberly Clark21905-026
Microscope glass slidesVWR631-1550P
MilliQ systemMerk MilliporeZR0Q008WW
OP1550 InterferometerOptics11 Lifeno catalogue number
Optics 11 Life probe (k = 0.02-0.005 N/m, R = 3-3.5 um)Optics 11 Lifeno catologue number
Optics 11 Life probe (k = 0.46-0.5 N/m, R = 50-55 um)Optics 11 Lifeno catologue number
Penicillin/StreptomycinGibco15140122
RainX rain repellentRainX26012
Standard petri dishes (90 mm)Thermo Scientific101RTIRR
TetramethylethylenediamineSigma-Aldrich110-18-9
Vaccum dessicatorThermo Scientific531-0250
Software
Data acquisition software (v 3.4.1)Optics 11 Life
GitHub Desktop (Optional)Microsoft
Python 3Python Software Foundation
Visual Studio Code (Optional)Microsoft

References

  1. Discher, D. E., Janmey, P. Y. W. Tissue cells feel and respond to the stiffness of their substrate. Science. 310 (5751), 1139-1143 (2005).
  2. Roca-Cusachs, P., Conte, V., Trepat, X. Quantifying forces in cell biology. Na....

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NanoindentationHydrogelsCellsAtomic Force MicroscopySoft MatterMechanical PropertiesCalibrationInterferometerSurface DetectionData Analysis

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