4.7 Article

The effect of charge mutations on the stability and aggregation of a human single chain Fv fragment

出版社

ELSEVIER
DOI: 10.1016/j.ejpb.2017.01.019

关键词

ScFv; Protein-protein interactions; Aggregation; Protein stability; Charged mutations

资金

  1. BBSRC [BB/M006913/1, BB/I017194/1]
  2. BBSRC [BB/M006913/1, BB/I017194/1] Funding Source: UKRI
  3. Biotechnology and Biological Sciences Research Council [BB/I017194/1, BB/M006913/1] Funding Source: researchfish

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The aggregation propensities for a series of single-chain variable fragment (scFv) mutant proteins containing supercharged sequences, salt bridges and lysine/arginine-enriched motifs were characterised as a function of pH and ionic strength to isolate the electrostatic contributions. Recent improvements in aggregation predictors rely on using knowledge of native-state protein-protein interactions. Consistent with previous findings, electrostatic contributions to native protein-protein interactions correlate with aggregate growth pathway and rates. However, strong reversible self-association observed for selected mutants under native conditions did not correlate with aggregate growth, indicating 'sticky' surfaces that are exposed in the native monomeric state are inaccessible when aggregates grow. We find that even though similar native-state protein-protein interactions occur for the arginine and lysine-enriched mutants, aggregation propensity is increased for the former and decreased for the latter, providing evidence that lysine suppresses interactions between partially folded states under these conditions. The supercharged mutants follow the behaviour observed for basic proteins under acidic conditions; where excess net charge decreases conformational stability and increases nucleation rates, but conversely reduces aggregate growth rates due to increased intermolecular electrostatic repulsion. The results highlight the limitations of using conformational stability and native-state protein-protein interactions as predictors for aggregation propensity and provide guidance on how to engineer stabilizing charged mutations. (C) 2017 Published by Elsevier B.V.

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