Active coacervate droplets as a model for membraneless organelles and protocells

Carsten Donau, Fabian Späth, Marilyne Sosson, Brigitte A. K. Kriebisch, Fabian Schnitter, Marta Tena-Solsona, Hyun-Seo Kang, Elia Salibi, Michael Sattler, Hannes Mutschler and Job Boekhoven ()
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Carsten Donau: Technical University of Munich, Lichtenbergstrasse 4
Fabian Späth: Technical University of Munich, Lichtenbergstrasse 4
Marilyne Sosson: Technical University of Munich, Lichtenbergstrasse 4
Brigitte A. K. Kriebisch: Technical University of Munich, Lichtenbergstrasse 4
Fabian Schnitter: Technical University of Munich, Lichtenbergstrasse 4
Marta Tena-Solsona: Technical University of Munich, Lichtenbergstrasse 4
Hyun-Seo Kang: Technical University of Munich, Lichtenbergstrasse 4
Elia Salibi: Max Planck Institute of Biochemistry, Am Klopferspitz 18
Michael Sattler: Technical University of Munich, Lichtenbergstrasse 4
Hannes Mutschler: Max Planck Institute of Biochemistry, Am Klopferspitz 18
Job Boekhoven: Technical University of Munich, Lichtenbergstrasse 4

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Membraneless organelles like stress granules are active liquid-liquid phase-separated droplets that are involved in many intracellular processes. Their active and dynamic behavior is often regulated by ATP-dependent reactions. However, how exactly membraneless organelles control their dynamic composition remains poorly understood. Herein, we present a model for membraneless organelles based on RNA-containing active coacervate droplets regulated by a fuel-driven reaction cycle. These droplets emerge when fuel is present, but decay without. Moreover, we find these droplets can transiently up-concentrate functional RNA which remains in its active folded state inside the droplets. Finally, we show that in their pathway towards decay, these droplets break apart in multiple droplet fragments. Emergence, decay, rapid exchange of building blocks, and functionality are all hallmarks of membrane-less organelles, and we believe that our work could be powerful as a model to study such organelles.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18815-9

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DOI: 10.1038/s41467-020-18815-9

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