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Jurkeviciute, G.

Publications and source records attributed to Jurkeviciute, G..

3 recordsLinked to original sources

The ribosome synchronizes folding and assembly to promote oligomeric protein biogenesis

Natural proteins are structurally diverse and often form intricate multidomain, oligomeric architectures. This presents a prima facie challenge to cellular homeostasis, as topologically complex proteins seldom refold efficiently in vitro. How cells overcome sequence-intrinsic folding limitations to optimize protein biogenesis is incompletely understood. Here, we show that efficient folding and assembly of the model five-domain homotetramer {beta}-galactosidase is obligatorily coupled to its synthesis on the ribosome, and define the underlying mechanisms. During refolding of full-length protein from denaturant, maturation of the catalytic domain is frustrated. Assembly outpaces monomer folding, and non-native oligomers accumulate. The ribosome directs the order of folding events and specifies the pathway of oligomer assembly. Efficient de novo folding is characterised by segmental domain folding, shaped by binding of a nascent amphipathic helix to a cryptic pocket on the ribosome surface. Homomer assembly initiates cotranslationally via recruitment of a full-length subunit to the nascent polypeptide, and the failure to do so results in misassembly. Our results reveal how the ribosome can dictate the timing of folding and assembly to enable efficient biogenesis of a topologically complex protein.

biochemistry↗

GroEL/ES chaperonin unfolds then encapsulates a nascent protein on the ribosome

The bacterial chaperonin GroEL/ES promotes protein folding post-translation by transiently encapsulating substrate proteins within a central chamber. GroEL also binds translating ribosomes in vivo, suggesting an additional role in cotranslational folding. Here, we used biochemical reconstitution, structural proteomics and electron microscopy to study the mechanism by which GroEL/ES engages nascent polypeptides. We show that GroEL binds nascent chains on the inside of its cavity via the apical domains and disordered C-terminal tails, resulting in local structural destabilization of the substrate. Ribosome-tethered nascent proteins are partially encapsulated upon GroES binding to GroEL, and refold in the chaperonin cavity. Reconstitution of chaperone competition at the ribosome shows that both Trigger factor and GroEL can be accommodated on long nascent chains, but GroEL and DnaK are mutually antagonistic. Our findings extend the role of GroEL/ES in de novo protein folding, and reveal an unexpected plasticity of the chaperonin mechanism that allows cotranslational substrate encapsulation.

biochemistry↗

Emergent digital bio-computation through spatial diffusion and engineered bacteria

Building computationally capable biological systems has long been an aim of synthetic biology. The potential utility of biocomputing devices ranges from biosafety and environmental applications to diagnosis and personalised medicine. Here we present work for the design of bacterial computers which use spatial patterning to process information. Our computers are composed of bacterial colonies which, inspired by patterning in embryo development, receive information in the form of diffusible morphogen-like signals. A computation is encoded by the physical locations of the input sources of morphogen and the output receiver colonies. We demonstrate, mathematically and with engineered Escherichia coli, the simple digital logic capability of single bacterial colonies and show how additional colonies are required to build complex functions. Inspired by electronic design automation, an algorithm for designing optimal spatial circuits computing two-level digital functions is presented. This enhances the capability of our system to complex digital functions without increasing the biological complexity. We extend our experimental system to incorporate biosensing colonies as morphogen sources, demonstrating how a diagnostic device might be constructed. Our approach will open up new ways to perform biological computation, with applications in bioengineering, biomaterials and biosensing. Ultimately, these computational bacterial communities will help us explore information processing in natural biological systems.

synthetic biology↗