Unknown

Dataset Information

0

Liquid-Liquid Phase Separation Primes Spider Silk Proteins for Fiber Formation via a Conditional Sticker Domain.


ABSTRACT: Many protein condensates can convert to fibrillar aggregates, but the underlying mechanisms are unclear. Liquid-liquid phase separation (LLPS) of spider silk proteins, spidroins, suggests a regulatory switch between both states. Here, we combine microscopy and native mass spectrometry to investigate the influence of protein sequence, ions, and regulatory domains on spidroin LLPS. We find that salting out-effects drive LLPS via low-affinity stickers in the repeat domains. Interestingly, conditions that enable LLPS simultaneously cause dissociation of the dimeric C-terminal domain (CTD), priming it for aggregation. Since the CTD enhances LLPS of spidroins but is also required for their conversion into amyloid-like fibers, we expand the stickers and spacers-model of phase separation with the concept of folded domains as conditional stickers that represent regulatory units.

SUBMITTER: Leppert A 

PROVIDER: S-EPMC10311596 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Liquid-Liquid Phase Separation Primes Spider Silk Proteins for Fiber Formation via a Conditional Sticker Domain.

Leppert Axel A   Chen Gefei G   Lama Dilraj D   Sahin Cagla C   Railaite Vaida V   Shilkova Olga O   Arndt Tina T   Marklund Erik G EG   Lane David P DP   Rising Anna A   Landreh Michael M  

Nano letters 20230421 12


Many protein condensates can convert to fibrillar aggregates, but the underlying mechanisms are unclear. Liquid-liquid phase separation (LLPS) of spider silk proteins, spidroins, suggests a regulatory switch between both states. Here, we combine microscopy and native mass spectrometry to investigate the influence of protein sequence, ions, and regulatory domains on spidroin LLPS. We find that salting out-effects drive LLPS via low-affinity stickers in the repeat domains. Interestingly, condition  ...[more]

Similar Datasets

| S-EPMC11557605 | biostudies-literature
| S-EPMC7673682 | biostudies-literature
| S-EPMC4256644 | biostudies-other
2021-12-23 | GSE174575 | GEO
| S-EPMC5974136 | biostudies-literature
| S-EPMC7258523 | biostudies-literature
| S-EPMC2690042 | biostudies-literature
| S-EPMC9739919 | biostudies-literature
| PRJNA730564 | ENA
| S-EPMC10578117 | biostudies-literature