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      Cooperative unfolding of distinctive mechanoreceptor domains transduces force into signals

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          Abstract

          How cells sense their mechanical environment and transduce forces into biochemical signals is a crucial yet unresolved question in mechanobiology. Platelets use receptor glycoprotein Ib (GPIb), specifically its α subunit (GPIbα), to signal as they tether and translocate on von Willebrand factor (VWF) of injured arterial surfaces against blood flow. Force elicits catch bonds to slow VWF–GPIbα dissociation and unfolds the GPIbα leucine-rich repeat domain (LRRD) and juxtamembrane mechanosensitive domain (MSD). How these mechanical processes trigger biochemical signals remains unknown. Here we analyze these extracellular events and the resulting intracellular Ca 2+ on a single platelet in real time, revealing that LRRD unfolding intensifies Ca 2+ signal whereas MSD unfolding affects the type of Ca 2+ signal. Therefore, LRRD and MSD are analog and digital force transducers, respectively. The >30 nm macroglycopeptide separating the two domains transmits force on the VWF–GPIbα bond (whose lifetime is prolonged by LRRD unfolding) to the MSD to enhance its unfolding, resulting in unfolding cooperativity at an optimal force. These elements may provide design principles for a generic mechanosensory protein machine.

          DOI: http://dx.doi.org/10.7554/eLife.15447.001

          eLife digest

          Platelets – the blood clotting cells – have the ability to detect, interpret and respond to mechanical forces, such as those generated by the flow of blood. The magnitude and duration of the forces detected by the platelets influences whether they form a blood clot. Understanding how the platelets respond to mechanical forces is therefore crucial for our knowledge of conditions such as thrombosis, where blood clots form inside vessels and block them. Clots that form within arteries are associated with heart attack and stroke, which account for around one third of all deaths worldwide.

          Cells can sense external forces via individual proteins on their surface and transmit the mechanical information across the cell membrane. This triggers signals within the cell that influence how it responds. However, the molecular details of these “mechanosensory” processes remain poorly understood.

          To patch up damaged blood vessels, platelets use a protein on their surface named glycoprotein Ibα (GPIbα) to bind to a plasma protein called von Willebrand factor that adheres to the vessel wall. This binding tethers the platelet to the blood vessel and activates it during clot formation. Previous studies suggested that mechanical force affects how this binding triggers the signals that activate platelets.

          Ju, Chen et al. used a homebuilt nanotool to pull on platelet GPIbα while it was bound to von Willebrand factor. This revealed that two distinct domains of the GPIbα protein unfold to relay information about the force, such as its magnitude and duration, to the platelet to trigger biochemical signalling inside the cell. The unfolding of each GPIbα domain has a distinct role in determining the quantity and quality of the signals. The unfolding events work synergistically – they occur together to produce an effect that’s greater than the sum of their individual effects. However, pulling on GPIbα via a mutant form of von Willebrand factor eliminated the synergy between the two unfolding events, therefore hindering the effective conversion of mechanical forces into biochemical signals.

          Notably, the two GPIbα domains unfolded by force exist in many protein families, including those involved in mediating cell adhesion and detecting signals. The biophysical tools developed by Ju, Chen et al. could be extended to analyze how mechanical cues are presented, received, transmitted and converted into biochemical signals in other cell types and biological systems. Furthermore, the structural insights gained from the platelet GPIbα system may help to design a generic mechanosensory protein machine.

          DOI: http://dx.doi.org/10.7554/eLife.15447.002

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          Most cited references42

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          Reversible unfolding of individual titin immunoglobulin domains by AFM.

          Single-molecule atomic force microscopy (AFM) was used to investigate the mechanical properties of titin, the giant sarcomeric protein of striated muscle. Individual titin molecules were repeatedly stretched, and the applied force was recorded as a function of the elongation. At large extensions, the restoring force exhibited a sawtoothlike pattern, with a periodicity that varied between 25 and 28 nanometers. Measurements of recombinant titin immunoglobulin segments of two different lengths exhibited the same pattern and allowed attribution of the discontinuities to the unfolding of individual immunoglobulin domains. The forces required to unfold individual domains ranged from 150 to 300 piconewtons and depended on the pulling speed. Upon relaxation, refolding of immunoglobulin domains was observed.
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            On the histogram as a density estimator:L 2 theory

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              Accumulation of dynamic catch bonds between TCR and agonist peptide-MHC triggers T cell signaling.

              TCR-pMHC interactions initiate adaptive immune responses, but the mechanism of how such interactions under force induce T cell signaling is unclear. We show that force prolongs lifetimes of single TCR-pMHC bonds for agonists (catch bonds) but shortens those for antagonists (slip bonds). Both magnitude and duration of force are important, as the highest Ca(2+) responses were induced by 10 pN via both pMHC catch bonds whose lifetime peaks at this force and anti-TCR slip bonds whose maximum lifetime occurs at 0 pN. High Ca(2+) levels require early and rapid accumulation of bond lifetimes, whereas short-lived bonds that slow early accumulation of lifetimes correspond to low Ca(2+) responses. Our data support a model in which force on the TCR induces signaling events depending on its magnitude, duration, frequency, and timing, such that agonists form catch bonds that trigger the T cell digitally, whereas antagonists form slip bonds that fail to activate.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                19 July 2016
                2016
                : 5
                : e15447
                Affiliations
                [1 ]deptCoulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta, United States
                [2 ]deptPetit Institute for Bioengineering and Biosciences , Georgia Institute of Technology , Atlanta, United States
                [3 ]Heart Research Institute , Camperdown, Australia
                [4 ]deptCharles Perkins Centre , The University of Sydney , Camperdown, Australia
                [5 ]deptWoodruff School of Mechanical Engineering , Georgia Institute of Technology , Atlanta, United States
                [6 ]deptDepartment of Statistics , The Pennsylvania State University , University Park, United States
                [7 ]deptDepartment of Pharmacology, College of Medicine , University of Illinois at Chicago , Chicago, United States
                [8]Johns Hopkins University School of Medicine , United States
                [9]Johns Hopkins University School of Medicine , United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-1718-565X
                Article
                15447
                10.7554/eLife.15447
                5021522
                27434669
                cbe0e9a1-a271-442b-bb61-b4ffebd15023
                © 2016, Ju et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 23 February 2016
                : 18 July 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000971, Diabetes Australia;
                Award ID: IRMA G179720
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001774, University of Sydney;
                Award ID: 2016 Sydney Medical School ECR Kickstart Grant
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMS-1505256
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL062350
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL080264
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL125356
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL132019
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Biophysics and Structural Biology
                Research Article
                Custom metadata
                2.5
                New biophysical methods and analyses visualize in real-time a chain of coordinated single-molecular events on a living cell, enabling the inner workings of a mechanoreceptor important to biology to be elucidated.

                Life sciences
                mechanosensing,single molecule,leucine rich repeat,gpib,platelet,calcium signaling,worm like chain,von willebrand factor,von willebrand disease,biomembrane force probe,human

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