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A framework for understanding the functions of biomolecular condensates across scales
Open accessAbstract
Biomolecular condensates are found throughout eukaryotic cells, including in the nucleus, in the cytoplasm and on membranes. They are also implicated in a wide range of cellular functions, organizing molecules that act in processes ranging from RNA metabolism to signalling to gene regulation. Early work in the field focused on identifying condensates and understanding how their physical properties and regulation arise from molecular constituents. Recent years have brought a focus on understanding condensate functions. Studies have revealed functions that span different length scales: from molecular (modulating the rates of chemical reactions) to mesoscale (organizing large structures within cells) to cellular (facilitating localization of cellular materials and homeostatic responses). In this Roadmap, we discuss representative examples of biochemical and cellular functions of biomolecular condensates from the recent literature and organize these functions into a series of non-exclusive classes across the different length scales. We conclude with a discussion of areas of current interest and challenges in the field, and thoughts about how progress may be made to further our understanding of the widespread roles of condensates in cell biology.
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“The second systems biology criterion follows from the observation that integrated function is only possible via structured spatial heterogeneity, that is, that spatial heterogeneity is crucial to cellular function.”
From ‘Whole Organism’, Systems Biology, and Top-Down Criteria for Evaluating Scenarios for the Origin of Life (2021) · cites this paper as [45]
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“This is not to say that all lncRNAs are elncRNAs; there are many others involved in the formation of specialized domains in the nucleus and the cytoplasm (including metabolic pathways, translation, synapse architecture and autophagy) (Lyon et al., 2021), most of which have yet to be characterized.”
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Automated navigation of condensate phase behavior with active machine learning
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“(Remarks on code availability) Version 1:”
Metadata
- Authors
- Lyon, A. S., Peeples, W. B., & Rosen, M. K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Rosen, Michael K.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2020-11-09
- Volume
- 22
- Issue
- 3
- Pages
- 215-235
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- PMC
- PMC8574987
- OpenAlex
- W3099323319
- Cited by
- 895
- References
- 233
- Citations by year
- 2026: 149 · 2025: 186 · 2024: 175 · 2023: 172 · 2022: 115 · 2021: 95 · 2020: 2
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of General Medical Sciences (F32GM136058)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- biomolecular condensates, liquid-liquid phase separation, length scales, RNA metabolism, gene expression regulation, cell organization, signal transduction, reaction rate, cellular homeostasis
- MeSH terms
- Animals, Biochemical Phenomena, Cell Physiological Phenomena, Cytoplasm, Eukaryotic Cells, Humans, Organelles, Macromolecular Substances, Multiprotein Complexes, Protein Aggregates
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