ArticleAnalytical chemistry2019
Differentiating between Inactive and Active States of Rhodopsin by Atomic Force Microscopy in Native Membranes.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Understanding the Rhodopsin Worldview Through Atomic Force Microscopy (AFM): Structure, Stability, and Activity Studies.Chemical record (New York, N.Y.) · 2023Review
- Mapping Mechanostable Pulling Geometries of a Therapeutic Anticalin/CTLA-4 Protein Complex.Nano letters · 2022Article
- Assessing the Stability of Biological Fibrils by Molecular-Scale Simulations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Molecular insights into receptor binding energetics and neutralization of SARS-CoV-2 variants.Nature communications · 2021Article
- Exogenous extracellular matrix proteins decrease cardiac fibroblast activation in stiffening microenvironment through CAPG.Journal of molecular and cellular cardiology · 2021Article
- Supramolecular organization of rhodopsin in rod photoreceptor cell membranes.Pflugers Archiv : European journal of physiology · 2021Review
- Nanomechanical Stability of Aβ Tetramers and Fibril-like Structures: Molecular Dynamics Simulations.The journal of physical chemistry. B · 2021Article
- Microenvironment Stiffness Amplifies Post-ischemia Heart Regeneration in Response to Exogenous Extracellular Matrix Proteins in Neonatal Mice.Frontiers in cardiovascular medicine · 2021Article
- Optimizing Gō-MARTINI Coarse-Grained Model for F-BAR Protein on Lipid Membrane.Frontiers in molecular biosciences · 2021Article
- Characterization of Structural and Energetic Differences between Conformations of the SARS-CoV-2 Spike Protein.Materials (Basel, Switzerland) · 2020Article
- Differential adaptations in rod outer segment disc membranes in different models of congenital stationary night blindness.Biochimica et biophysica acta. Biomembranes · 2020Article
- Microenvironment stiffness requires decellularized cardiac extracellular matrix to promote heart regeneration in the neonatal mouse heart.Acta biomaterialia · 2020Article
- Retinal degeneration in mice expressing the constitutively active G90D rhodopsin mutant.Human molecular genetics · 2020Article
- Pathways and disease-causing alterations in visual chromophore production for vertebrate vision.The Journal of biological chemistryReview
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Membrane proteins, including G protein-coupled receptors (GPCRs), present a challenge in studying their structural properties under physiological conditions. Moreover, to better understand the activity of proteins requires examination of single molecule behaviors rather than ensemble averaged behaviors. Force-distance curve-based AFM (FD-AFM) was utilized to directly probe and localize the conformational states of a GPCR within the membrane at nanoscale resolution based on the mechanical properties of the receptor. FD-AFM was applied to rhodopsin, the light receptor and a prototypical GPCR, embedded in native rod outer segment disc membranes from photoreceptor cells of the retina in mice. Both FD-AFM and computational studies on coarse-grained models of rhodopsin revealed that the active state of the receptor has a higher Young's modulus compared to the inactive state of the receptor. Thus, the inactive and active states of rhodopsin could be differentiated based on the stiffness of the receptor. Differentiating the states based on the Young's modulus allowed for the mapping of the different states within the membrane. Quantifying the active states present in the membrane containing the constitutively active G90D rhodopsin mutant or apoprotein opsin revealed that most receptors adopt an active state. Traditionally, constitutive activity of GPCRs has been described in terms of two-state models where the receptor can achieve only a single active state. FD-AFM data are inconsistent with a two-state model but instead require models that incorporate multiple active states.
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