ArticleBiophysical journal2024
A calibration-free model of micropipette aspiration for measuring properties of protein condensates.
Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Probing biomolecular condensates with a minimally perturbative experimental readout framework.The Biochemical journal · 2026Review
- Progress toward linking single-molecule behavior and condensate material properties.Current opinion in structural biology · 2026Review
- RNA G-quadruplexes function as a tunable switch of FUS phase separation.Nucleic acids research · 2026Article
- Computational rheometry for modeling viscoelasticity and mechanical responses of biomolecular condensates.Biophysical journal · 2026Article
- Biomolecular condensates provide a unique environment for redox-mediated protein crosslinking.bioRxiv : the preprint server for biology · 2026Article
- Differential effects of α-Synuclein monomers and seeds on the material properties of Tau condensates.bioRxiv : the preprint server for biology · 2026Article
- Optically driven control of mechanochemistry and fusion dynamics of biomolecular condensates via thymine dimerization.Nature communications · 2026Article
- Visualizing liquid-liquid phase separation and protein aggregates.Communications chemistry · 2025Review
- RNA G-Quadruplexes Function as a Tunable Switch of FUS Phase Separation.bioRxiv : the preprint server for biology · 2025Article
- Amphiphilic Protein Surfactants Reduce the Interfacial Tension of Biomolecular Condensates.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- Phosphorylation toggles the SARS-CoV-2 nucleocapsid protein between two membrane-associated condensate states.Nature communications · 2025Article
- Computational rheometry of viscoelastic networks: From random graphs to biomolecular condensates.bioRxiv : the preprint server for biology · 2025Article
- Current practices in the study of biomolecular condensates: a community comment.Nature communications · 2025Article
- Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The rheology and interfacial properties of biomolecular condensates.Biophysical reviews · 2025Review
- Live-cell quantification reveals viscoelastic regulation of synapsin condensates by α-synuclein.Science advances · 2025Article
- The mechanobiology of biomolecular condensates.Biophysics reviews · 2025Review
- Fundamental Aspects of Phase-Separated Biomolecular Condensates.Chemical reviews · 2024Review
- Emerging biophysical principles of macromolecular phase separation.Biophysical journal · 2024Article
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4 authors.
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Abstract
There is growing evidence that biological condensates, which are also referred to as membraneless organelles, and liquid-liquid phase separation play critical roles regulating many important cellular processes. Understanding the roles these condensates play in biology is predicated on understanding the material properties of these complex substances. Recently, micropipette aspiration (MPA) has been proposed as a tool to assay the viscosity and surface tension of condensates. This tool allows the measurement of both material properties in one relatively simple experiment, in contrast to many other techniques that only provide one or a ratio of parameters. While this technique has been commonly used in the literature to determine the material properties of membrane-bound objects dating back decades, the model describing the dynamics of MPA for objects with an external membrane does not correctly capture the hydrodynamics of unbounded fluids, leading to a calibration parameter several orders of magnitude larger than predicted. In this work we derive a new model for MPA of biological condensates that does not require any calibration and is consistent with the hydrodynamics of the MPA geometry. We validate the predictions of this model by conducting MPA experiments on a standard silicone oil of known material properties and are able to predict the viscosity and surface tension using MPA. Finally, we reanalyze with this new model the MPA data presented in previous works for condensates formed from LAF-1 RGG domains.
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