A coarse-grained modelling approach to protein liquid-liquid phase separation: effect of recombinant protein length on self-assembly structures.

POSTER

Abstract

Phase transitions play an essential role in the assembly of nature's protein-based materials into hierarchically organized structures, yet the underlying mechanisms and interactions remain elusive. A central question for designing proteins for materials is how the protein architecture affects the nature of the phase transitions and the resulting assembly. We examine the assembly of silk-like modular block proteins by a computational bead-spring model. We show that our model can underpin the transition from homogeneous solution to phase separation corresponding to assembly formation for various protein architectures, particularly protein chain length variation [1]. We find that in the assembly phase, a protein length- and concentration-dependent transition between two distinct assembly morphologies, one forming aggregates, and another coacervates, exists, both in the simulations and in our experimental characterization of the equivalent proteins with varying lengths. We deduce that properties and internal structures of the assemblies depend on the protein size. Our experimental data of silk-mimicking proteins support the model predictions. This approach can be extended to investigate other protein design variables.

[1] Lemetti et al., Biomacromolecules 23 (8), 3142–3153 (2022).

* This work was supported by the Academy of Finland through its Centres of Excellence Programme (2022−2029, LIBER) under project nos. 346105 and 346111 and Academy of Finland projects nos. 326345, 317395, 308772, and 333238. The work was also supported by the Finnish Cultural foundation project 00210650. We also acknowledge the Light Microscopy Unit of the Institute of Biotechnology, University of Helsinki for provision of facilities and for help in performing the FRAP experiments and the OtaNano−Nanomicroscopy Center (Aalto-NMC) at the Aalto University for the provision of facilities. We are grateful for the support by the FinnCERES Materials Bioeconomy Ecosystem and use of the Bioeconomy Infrastructure at the Aalto University. Computational resources by CSC IT Centre for Science, Finland and RAMI−RawMatTERS Finland Infrastructure are also gratefully acknowledged.

Publication: Lemetti et al., Biomacromolecules 23 (8), 3142–3153 (2022).

Presenters

  • Alberto Scacchi

    Aalto University

Authors

  • Alberto Scacchi

    Aalto University

  • Adam Harmat

    Aalto University

  • Laura Lemetti

    Aalto University

  • Yin Yin

    Aalto University

  • Mengjie Shen

    Aalto University

  • Markus B Linder

    Aalto University

  • Sesilja Aranko

    Aalto University

  • Maria Sammalkorpi

    Aalto University