Decoding phase separation of prion-like domains through data-driven scaling laws

Bibliographic Details
Title: Decoding phase separation of prion-like domains through data-driven scaling laws
Authors: M Julia Maristany, Anne Aguirre Gonzalez, Jorge R Espinosa, Jan Huertas, Rosana Collepardo-Guevara, Jerelle A Joseph
Source: eLife, Vol 13 (2025)
Publisher Information: eLife Sciences Publications Ltd, 2025.
Publication Year: 2025
Collection: LCC:Medicine
LCC:Science
LCC:Biology (General)
Subject Terms: phase separation, biomolecular condensates, scaling laws, prion-like low complexity domains, disordered proteins, critical temperature, Medicine, Science, Biology (General), QH301-705.5
More Details: Proteins containing prion-like low complexity domains (PLDs) are common drivers of the formation of biomolecular condensates and are prone to misregulation due to amino acid mutations. Here, we exploit the accuracy of our residue-resolution coarse-grained model, Mpipi, to quantify the impact of amino acid mutations on the stability of 140 PLD mutants from six proteins (hnRNPA1, TDP43, FUS, EWSR1, RBM14, and TIA1). Our simulations reveal the existence of scaling laws that quantify the range of change in the critical solution temperature of PLDs as a function of the number and type of amino acid sequence mutations. These rules are consistent with the physicochemical properties of the mutations and extend across the entire family tested, suggesting that scaling laws can be used as tools to predict changes in the stability of PLD condensates. Our work offers a quantitative lens into how the emergent behavior of PLD solutions vary in response to physicochemical changes of single PLD molecules.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2050-084X
Relation: https://elifesciences.org/articles/99068; https://doaj.org/toc/2050-084X
DOI: 10.7554/eLife.99068
Access URL: https://doaj.org/article/cb144abe9d0a448293b24db7f9f284db
Accession Number: edsdoj.b144abe9d0a448293b24db7f9f284db
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  Data: <searchLink fieldCode="DE" term="%22phase+separation%22">phase separation</searchLink><br /><searchLink fieldCode="DE" term="%22biomolecular+condensates%22">biomolecular condensates</searchLink><br /><searchLink fieldCode="DE" term="%22scaling+laws%22">scaling laws</searchLink><br /><searchLink fieldCode="DE" term="%22prion-like+low+complexity+domains%22">prion-like low complexity domains</searchLink><br /><searchLink fieldCode="DE" term="%22disordered+proteins%22">disordered proteins</searchLink><br /><searchLink fieldCode="DE" term="%22critical+temperature%22">critical temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine%22">Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Science%22">Science</searchLink><br /><searchLink fieldCode="DE" term="%22Biology+%28General%29%22">Biology (General)</searchLink><br /><searchLink fieldCode="DE" term="%22QH301-705%2E5%22">QH301-705.5</searchLink>
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  Data: Proteins containing prion-like low complexity domains (PLDs) are common drivers of the formation of biomolecular condensates and are prone to misregulation due to amino acid mutations. Here, we exploit the accuracy of our residue-resolution coarse-grained model, Mpipi, to quantify the impact of amino acid mutations on the stability of 140 PLD mutants from six proteins (hnRNPA1, TDP43, FUS, EWSR1, RBM14, and TIA1). Our simulations reveal the existence of scaling laws that quantify the range of change in the critical solution temperature of PLDs as a function of the number and type of amino acid sequence mutations. These rules are consistent with the physicochemical properties of the mutations and extend across the entire family tested, suggesting that scaling laws can be used as tools to predict changes in the stability of PLD condensates. Our work offers a quantitative lens into how the emergent behavior of PLD solutions vary in response to physicochemical changes of single PLD molecules.
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        Value: 10.7554/eLife.99068
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      – Text: English
    Subjects:
      – SubjectFull: phase separation
        Type: general
      – SubjectFull: biomolecular condensates
        Type: general
      – SubjectFull: scaling laws
        Type: general
      – SubjectFull: prion-like low complexity domains
        Type: general
      – SubjectFull: disordered proteins
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      – SubjectFull: critical temperature
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      – TitleFull: Decoding phase separation of prion-like domains through data-driven scaling laws
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