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Cited by 208

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Phase transition of RNA−protein complexes into ordered hollow condensates

Open access
Alshareedah, Ibraheem, Moosa, Mahdi Muhammad, Raju, Muralikrishna, Potoyan, Davit A., Banerjee, Priya R.·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Vesicular assemblies play crucial roles in the subcellular organization as well as in biotechnological applications. Classically, the ability to form such assemblies was primarily assigned to lipids and lipid-like amphiphilic molecules. Here, we show that disordered RNA−protein complexes can form vesicle-like ordered assemblies at disproportionate mixture compositions. We also show that the ability to form vesicular assemblies is generic to multicomponent systems where phase separation is driven by heterotypic interactions. We speculate that such vesicular assemblies play crucial roles in the formation of dynamic multilayered subcellular membraneless organelles and can be utilized to fabricate novel stimuli-responsive microscale systems.

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Metadata

Authors
Alshareedah, I., Moosa, M. M., Raju, M., Potoyan, D. A., & Banerjee, P. R.
Venue
Proceedings of the National Academy of Sciences
Published
2020-06-22
Volume
117
Issue
27
Pages
15650-15658
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3036811605
Cited by
208
References
1
FWCI
8.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Phase transition of RNA−protein complexes into ordered hollow condensates. https://app.cochat.ai/papers/10.1073/pnas.1922365117
The paper
Alshareedah, I., Moosa, M. M., Raju, M., Potoyan, D. A., & Banerjee, P. R. (2020). Phase transition of RNA−protein complexes into ordered hollow condensates. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1922365117

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.