ArticleFrontiers in cell and developmental biology2020
Spontaneous Membrane Nanodomain Formation in the Absence or Presence of the Neurotransmitter Serotonin.
Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Influence of Lipid Composition on Nonspecific Interactions of Serotonin with Model Membranes.ACS pharmacology & translational science · 2026Article
- Atomistic modeling of lysophospholipids from the Campylobacter jejuni lipidome.Biophysical journal · 2025Article
- The interaction of small molecules with phospholipid membranes studied by solid-state NMR and molecular dynamics simulation.Biophysical reviews · 2025Review
- Cholesterol-Dependent Serotonin Insertion Controlled by Gangliosides in Model Lipid Membranes.International journal of molecular sciences · 2024Article
- Serotonin Signaling through Lipid Membranes.ACS chemical neuroscience · 2024Review
- The intricate link between membrane lipid structure and composition and membrane structural properties in bacterial membranes.Chemical science · 2024Review
- Different membrane order measurement techniques are not mutually consistent.Biophysical journal · 2023Article
- py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD.Journal of chemical theory and computation · 2022Article
- Mechanistic Understanding from Molecular Dynamics in Pharmaceutical Research 2: Lipid Membrane in Drug Design.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Altered Membrane Mechanics Provides a Receptor-Independent Pathway for Serotonin Action.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021Article
- Serotonin Alters the Phase Equilibrium of a Ternary Mixture of Phospholipids and Cholesterol.Frontiers in physiology · 2020Article
- Maturation of Monocyte-Derived DCs Leads to Increased Cellular Stiffness, Higher Membrane Fluidity, and Changed Lipid Composition.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detailed knowledge on the formation of biomembrane domains, their structure, composition, and physical characteristics is scarce. Despite its frequently discussed importance in signaling, e.g., in obtaining localized non-homogeneous receptor compositions in the plasma membrane, the nanometer size as well as the dynamic and transient nature of domains impede their experimental characterization. In turn, atomistic molecular dynamics (MD) simulations combine both, high spatial and high temporal resolution. Here, using microsecond atomistic MD simulations, we characterize the spontaneous and unbiased formation of nano-domains in a plasma membrane model containing phosphatidylcholine (POPC), palmitoyl-sphingomyelin (PSM), and cholesterol (Chol) in the presence or absence of the neurotransmitter serotonin at different temperatures. In the ternary mixture, highly ordered and highly disordered domains of similar composition coexist at 303 K. The distinction of domains by lipid acyl chain order gets lost at lower temperatures of 298 and 294 K, suggesting a phase transition at ambient temperature. By comparison of domain ordering and composition, we demonstrate how the domain-specific binding of the neurotransmitter serotonin results in a modified domain lipid composition and a substantial downward shift of the phase transition temperature. Our simulations thus suggest a novel mode of action of neurotransmitters possibly of importance in neuronal signal transmission.
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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.