Biology subjects

Olsen, J. G.

Publications and source records attributed to Olsen, J. G..

6 recordsLinked to original sources

bioRxiv2024

The importance of stereochemistry in the disorder-order continuum of protein-protein interactions

Intrinsically disordered proteins can bind via the formation of highly disordered protein complexes without the formation of 3D-structure. Most naturally occurring proteins are "left-handed" or levorotatory (L), made up only of L-amino acids, imprinting molecular structure and communication with stereochemistry. In contrast, their mirror image "right-handed" or dextrorotatory (D) amino acids are rare in Nature. Whether disordered protein complexes are truly independent of 3D-topology and thus of chiral constraints is not clear. To test the chiral constraints of disordered protein-protein interactions, a set of interacting protein pairs covering the disorder-order continuum was chosen as representative examples. By observing both the natural ligands and their stereochemical mirror images in free and bound states, we discovered that chirality was inconsequential in a fully disordered complex. However, if the interaction relied on the ligand undergoing coupled folding and binding, correct stereochemistry was essential. Between these extremes, binding could be observed for the D-ligand with a strength that correlated with the amount of disorder in the final complex. These findings have important implications for our understanding of protein-protein interactions, the molecular processes leading to complex formation, the use of D-peptides in drug discovery, and the chemistry of protein evolution of the first living entities on Earth.

biophysics↗

bioRxiv2023

Checkpoint activation by Spd1: a competition-based system relying on tandem disordered PCNA binding motifs

DNA regulation, replication and repair are processes fundamental to all known organisms and the sliding clamp proliferating cell nuclear antigen (PCNA) is central to all these processes. S-phase delaying protein 1 (Spd1) from S. pombe, an intrinsically disordered protein that causes checkpoint activation by inhibiting the enzyme ribonucleotide reductase, has one of the most divergent PCNA binding motifs known. Using NMR spectroscopy, in vivo assays, X-ray crystallography, calorimetry, and Monte Carlo simulations, an additional PCNA binding motif in Spd1, a PIP-box, is revealed. The two tandemly positioned, low affinity sites exchange rapidly on PCNA exploiting the same binding sites. Increasing or decreasing the binding affinity between Spd1 and PCNA through mutations of either motif compromised the ability of Spd1 to cause checkpoint activation in yeast. These results pinpoint a role for PCNA in Spd1-mediated checkpoint activation and suggest that its tandemly positioned short linear motifs create a neatly balanced competition-based system, involving PCNA, Spd1 and the small ribonucleotide reductase subunit, Suc22R2. Similar mechanisms may be relevant in other PCNA binding ligands where divergent binding motifs so far have gone under the PIP-box radar.

biophysics↗

bioRxiv2023

Relying on the relationship with known disease-causing variants in homologous proteins to predict pathogenicity of SORL1 variants in Alzheimer's disease

SORL1 encodes the retromer-associated receptor SORLA that functions in endosomal recycling. Rare variants in SORL1 have been associated with Alzheimers disease (AD) and rare pathogenic variants are estimated to occur in up to 2.75% of early onset AD patients and in 1.5% of unrelated late onset AD patients. While truncation mutations are observed almost exclusively in AD patients, it is currently unknown which among the hundreds of rare missense variants identified in SORL1, are pathogenic. Here we address this question by relying on SORLAs distinct molecular architecture. First, we completed a structure-guided sequence alignment for all the protein domains. Next, we identified proteins that contain domains homologous to those of SORLA, which include pathogenic variants for monogenic diseases. We identified the analogous domain positions of these variants in the SORLA protein sequence and showed that variants in these positions similarly impair SORL1, and lead to AD. Together, our findings represent a comprehensive compendium on SORLA protein variation and functional effects, which allowed us to prioritize SORL1 genetic variants into high or moderate priority mutations. We envision that this compendium will be used by clinical geneticists for assessing variants they identify in patients, allowing further development of diagnostic procedures and patient counseling strategies. Utimately, this compendium will inform investigations into the molecular mechanisms of endosomal recycling which will support the development of therapeutic treatment strategies for SORL1 variant-carrying patients.

biochemistry↗

bioRxiv2022

Assessment of models for calculating the hydrodynamic radius of intrinsically disordered proteins

Diffusion measurements by pulsed field gradient NMR and fluorescence correlation spectroscopy can be used to probe the hydrodynamic radius of proteins, which contains information about the overall dimension of a protein in solution. The comparison of this value with structural models of intrinsically disordered proteins is nonetheless impaired by the uncertainty of the accuracy of the methods for computing the hydrodynamic radius from atomic coordinates. To tackle this issue, we here build conformational ensembles of 11 intrinsically disordered proteins that we ensure are in agreement with measurements of compaction by small-angle X-ray scattering. We then use these ensembles to identify the forward model that more closely fits the radii derived from pulsed field gradient NMR diffusion experiments. Of the models we examined, we find that the Kirkwood-Riseman equation provides the best description of the hydrodynamic radius probed by pulsed field gradient NMR experiments. While some minor discrepancies remain, our results enable better use of measurements of the hydrodynamic radius in integrative modelling and for force field benchmarking and parameterization. SIGNIFICANCEAccurate models of the conformational properties of intrinsically disordered proteins rely on our ability to interpret experimental data that reports on the conformational ensembles of these proteins in solution. Methods to calculate experimental observables from conformational ensembles are central to link experiments and computation, for example in integrative modelling or the assessment of molecular force fields. Benchmarking such methods is, however, difficult for disordered proteins because it is difficult to construct accurate ensembles without using the data. We here circumvent this problem by combining independent measures of protein compaction to test several methods to calculate the hydrodynamic radius of a disordered protein, as measured by pulsed field gradient NMR diffusion experiments, and find the Kirkwood-Riseman model to be most accurate.

biophysics↗

bioRxiv2020

Synergistic stabilization of a double mutant in CI2 from an in-cell library screen

Most single point mutations destabilize folded proteins. Mutations that stabilize a protein typically only have a small effect and multiple mutations are often needed to substantially increase the stability. Multiple point mutations may act synergistically on the stability, and it is not straightforward to predict their combined effect from the individual contributions. Here, we have applied an efficient in-cell assay to select variants of the barley chymotrypsin inhibitor 2 with increased stability. We find two variants that are more than 3.8 kJ/mol more stable than the wild-type. In one case the increased stability is the effect of the single substitution D55G. The other case is a double mutant, L49I/I57V, which is 5.1 kJ/mol more stable than the sum of the effects of the individual mutations. In addition to demonstrating the strength of our selection system for finding stabilizing mutations, our work also demonstrate how subtle conformational effects may modulate stability.

biophysics↗

bioRxiv2020

Dynamic NHE1-Calmodulin complexes of varying stoichiometry and structure regulate Ca2+-dependent NHE1 activation

Calmodulin (CaM) engages in Ca2+-dependent interactions with numerous proteins, including human Na+/H+-exchanger NHE1. Using nuclear magnetic resonance (NMR) spectroscopy, isothermal titration calorimetry, and fibroblasts expressing wildtype and mutant NHE1, we discovered multiple accessible states of this important complex existing in different NHE1:CaM stoichiometries and structures. We solved the NMR solution structure of a ternary complex in which CaM links two NHE1 cytosolic tails. In vitro, stoichiometries and affinities were tunable by variations in NHE1:CaM ratio and calcium ([Ca2+]) and by phosphorylation of S648 in the first CaM-binding -helix. In cells, Ca2+-CaM-induced NHE1 activity was reduced by mimicking S648 phosphorylation or mutating the first CaM-binding helix, whereas Ca2+-induced NHE1 activity was unaffected by inhibition of Akt, one of several kinases phosphorylating S648. Our results reveal the diversity of NHE1:CaM interactions and suggest that CaM may contribute to NHE1 dimerization. We propose that similar structural diversity is relevant to other CaM complexes.

cell biology↗