Biology subjects

Norrild, R. K.

Publications and source records attributed to Norrild, R. K..

4 recordsLinked to original sources

bioRxiv2024

Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation of α-Synuclein Fibrils

The aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are characteristic features of several neurodegenerative disorders, such as Parkinsons disease. Currently, there are no curative treatment options available. In this study, we demonstrate that the thermodynamic stability of alpha-synuclein fibrils is a crucial factor influencing the efficiency with which they are disaggregated by the human chaperone system comprising HSP70, DNAJB1, and Apg2. We quantify the increasing stability of alpha-synuclein fibrils formed under four different solution conditions over a three-month incubation period. The chaperone system effectively disaggregates three out of the four fibril types, with varying efficiencies that correlate with their thermodynamic stability. The fibrils exhibit differential sensitivities to chaperone-mediated depolymerization, suggesting that both structural features and thermodynamic stability contribute to the susceptibility of alpha-synuclein fibrils to chaperone disaggregation. Our findings thus reveal a connection between the thermodynamic stability of fibrils and their susceptibility to chaperone-mediated disaggregation.

biophysics↗

bioRxiv2024

Proteome-scale quantification of the interactions driving condensate formation of intrinsically disordered proteins

Intrinsically disordered protein regions facilitate cellular organization through phase separation into biomolecular condensates. However, the molecular interactions driving this process remain poorly understood because of experimental limitations. Here, we advance experimental throughput by several orders of magnitude by developing Condensate Partitioning by mRNA-Display (CPmD). The method allows analysis of partitioning of hundred thousand peptides derived from the disordered proteome into reconstituted condensates. Our results demonstrate that the amino acid content, rather than specific sequence, primarily determines partitioning behavior. Importantly, quantification of the partitioning energies of peptides allows us to decipher the molecular grammar of the relevant interactions, allowing accurate prediction of the formation of condensates of diverse full-length disordered protein regions. The results reveal how physicochemical properties of disordered regions encode biological functions through formation of biomolecular condensates.

biophysics↗

bioRxiv2022

Increasing protein stability by inferring substitution effects from high-throughput experiments

Protein stability is an important parameter in almost all protein-engineering efforts. Evaluating the effects of the many possible amino acid changes to guide such projects is a significant task, even with recent advances in experimental and computational approaches. Here, we apply a computational model, GMMA, to extract substitution effects from a cost-effective genetic screen of a randomly mutated protein library. Using a high mutation frequency, the method can map stability effects of even very stable proteins for which conventional selection systems have reached their limit. Thus, we screened a mutant library of a highly stable and optimised model protein using an in vivo genetic sensor for folding and assigned a stability effect to 374 of 912 possible single amino acid substitutions. Combining the top 9 substitutions increased the thermodynamic stability by almost 50% in a single engineering step. This illustrates the capability of the method, which is applicable to any screen for protein function.

biochemistry↗

bioRxiv2021

Universal amyloidogenicity of patient-derivedimmunoglobulin light chains

The deposition of immunoglobulin light chains (IgLCs) in the form of amorphous aggregates or amyloid fibrils in different tissues of patients can lead to severe and potentially fatal organ damage, requiring transplantation in some cases. There has been great interest in recent years to elucidate the origin of the very different in vivo solubilities of IgLCs, as well as the molecular determinants that drive either the formation of ordered amyloid fibrils or disordered amorphous aggregates. It is commonly thought that the reason of this differential aggregation behaviour is to be found in the amino acid sequences of the respective IgLCs, i.e. that some sequences display higher intrinsic tendencies to form amyloid fibrils. Here we perform in depth Thermodynamic and Aggregation Fingerprinting (ThAgg-Fip) of 9 multiple myeloma patient-derived IgLCs, the amino acid sequences of all of which we have solved by de novo protein sequencing with mass spectrometry. The latter technique was also used for one IgLc from a patient with AL amyloidosis. We find that all samples also contain proteases that fragment the proteins under physiologically relevant mildly acidic pH conditions, leading to amyloid fibril formation in all cases. Our results suggest that while every pathogenic IgLC has a unique ThAgg fingerprint, all sequences have comparable amyloidogenic potential. Therefore, extrinsic factors, in particular presence of, and susceptibility to, proteolytic cleavage is likely to be a strong determinant of in vivo aggregation behaviour. The important conclusion, which is corroborated by systematic analysis of our sequences, as well as many sequences of IgLCs from amyloidosis patients reported in the literature, challenges the current paradigm of the link between sequence and amyloid fibril formation of pathogenic light chains.

biophysics↗