2013
DOI: 10.1007/978-1-62703-604-7_15
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Generation and Analysis of Biosensors to Measure Mechanical Forces Within Cells

Abstract: The inability to measure mechanical forces within cells has been limiting our understanding of how mechanical information is processed on the molecular level. In this chapter, we describe a method that allows the analysis of force propagation across distinct proteins within living cells using Förster resonance energy transfer (FRET)-based biosensors.

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Cited by 25 publications
(29 citation statements)
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“…We have previously generated a probe (called TSMod), in which an elastic peptide is flanked by two fluorophores allowing the measurement of molecular forces between 1–6 pN using Förster resonance energy transfer (FRET) 12 , 17 19 . Yet individual myosin motors can generate single pN forces 20 and forces across distinct integrin receptors were recently shown to be significantly higher 21 , 22 .…”
Section: Resultsmentioning
confidence: 99%
“…We have previously generated a probe (called TSMod), in which an elastic peptide is flanked by two fluorophores allowing the measurement of molecular forces between 1–6 pN using Förster resonance energy transfer (FRET) 12 , 17 19 . Yet individual myosin motors can generate single pN forces 20 and forces across distinct integrin receptors were recently shown to be significantly higher 21 , 22 .…”
Section: Resultsmentioning
confidence: 99%
“…3 a), for which protocols have been described before. 2 To evaluate the biosensor’s biological functionality, these constructs should be expressed in cells depleted of the endogenous protein, which has several advantages (Fig. 3 d).…”
Section: A Guide To Evaluating Genetically-encoded Fret-based Tensionmentioning
confidence: 99%
“…The cultivation of cells on a planar glass surface, as conventionally used for microscopic observations, does not force cells to exercise their capabilities of recognizing surface structures and responding to spatial cues. To explore these capacities, structured hydrogels (Zorlutuna et al, 2012) or elastic networks of extracellular matrices (Austen et al, 2013) have been developed, and the behavior of cells in these 3D environments has been monitored. On a substrate surface patterned by ridges, cells show responses that are relevant to tissue engineering: the orientation, shape, or positioning of the cells vary depending on the width, depth, or profile of the ridges (Driscoll et al, 2012).…”
Section: Introductionmentioning
confidence: 99%