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Gonzalez-Foutel, N. S.

Publications and source records attributed to Gonzalez-Foutel, N. S..

2 recordsLinked to original sources

Slow diffusion limits phosphorylation in a biomolecular condensate

Biomolecular condensates form dynamic compartments that regulate biochemical reactions in cells. Condensates recruit many kinases and regulate their enzymatic activity. Condensates alter the rate of enzymatic reactions through several opposing effects, so it is unclear whether these mostly enhance or retard phosphorylation. Here, we use a synthetic condensate formed by intrinsically disordered proteins to show that slow diffusion in the condensate controls phosphorylation kinetics in the dense phase. We vary the length of substrates by appending phase-separating repeat proteins of different lengths, in order to study how phosphorylation depends on partitioning, diffusion and volume fraction across substrate motifs with different intrinsic kinetics. The condensate environment is generally inhibitory to phosphorylation, although the enzyme remains intact. This inhibition is partially offset by an enhanced reaction rate in the dilute phase, likely due to soluble nanoclusters. Phosphorylation rates are strongly correlated to diffusion coefficients of substrates in the condensate, suggesting mass-transport limitation. Our results suggest that condensates can modify the substrate usage of a kinase via different trade-offs between diffusion and partitioning. We suggest that diffusion limitations are likely a common feature of many macromolecular reactions in condensates, and that high fluidity is crucial for condensates to act as reaction crucibles.

biophysics↗

Conformational buffering underlies functional selection in intrinsically disordered protein regions

Many disordered proteins conserve essential functions in the face of extensive sequence variation. This makes it challenging to identify the forces responsible for functional selection. Viruses are robust model systems to investigate functional selection and they take advantage of protein disorder to acquire novel traits. Here, we combine structural and computational biophysics with evolutionary analysis to determine the molecular basis for functional selection in the intrinsically disordered adenovirus early gene 1A (E1A) protein. E1A competes with host factors to bind the retinoblastoma (Rb) protein, triggering early S-phase entry and disrupting normal cellular proliferation. We show that the ability to outcompete host factors depends on the picomolar binding affinity of E1A for Rb, which is driven by two binding motifs tethered by a hypervariable disordered linker. Binding affinity is determined by the spatial dimensions of the linker, which constrain the relative position of the two binding motifs. Despite substantial sequence variation across evolution, the linker dimensions are finely optimized through compensatory changes in amino acid sequence and sequence length, leading to conserved linker dimensions and maximal affinity. We refer to the mechanism that conserves spatial dimensions despite large-scale variations in sequence as conformational buffering. Conformational buffering explains how variable disordered proteins encode functions and could be a general mechanism for functional selection within disordered protein regions.

biophysics↗