Protein Folding Stability Changes Across the Proteome Reveal Targets of Cu Toxicity in E. coli

The ability of metal ionophores to induce cellular metal hyperaccumulation endows them with potent antimicrobial activity; however, the targets and mechanisms behind these outcomes are not well understood. This work describes the first utilization of proteome-wide measurements of protein folding sta...

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Veröffentlicht in:ACS chemical biology 2021-01, Vol.16 (1), p.214-224
Hauptverfasser: Wiebelhaus, Nancy, Zaengle-Barone, Jacqueline M, Hwang, Kevin K, Franz, Katherine J, Fitzgerald, Michael C
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Sprache:eng
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Zusammenfassung:The ability of metal ionophores to induce cellular metal hyperaccumulation endows them with potent antimicrobial activity; however, the targets and mechanisms behind these outcomes are not well understood. This work describes the first utilization of proteome-wide measurements of protein folding stability in combination with protein expression level analysis to identify protein targets of copper, thereby providing new insight into ionophore-induced copper toxicity in . The protein folding stability analysis employed a one-pot protocol for ulse roteolysis (PP) in combination with a emi- ryptic peptide nrichment strategy for roteolysis rocedures (STEPP) to generate stability profiles for proteins in cell lysates derived from exposed to copper with and without two ionophores, the antimicrobial agent pyrithione and its β-lactamase-activated prodrug, PcephPT. As part of this work, the above cell lysates were also subject to protein expression level analysis using conventional quantitative bottom-up proteomic methods. The protein folding stability and expression level profiles generated here enabled the effects of ionophore vs copper to be distinguished and revealed copper-driven stability changes in proteins involved in processes spanning metabolism, translation, and cell redox homeostasis. The 159 differentially stabilized proteins identified in this analysis were significantly more numerous (∼3×) than the 53 proteins identified with differential expression levels. These results illustrate the unique information that protein stability measurements can provide to decipher metal-dependent processes in drug mode of action studies.
ISSN:1554-8929
1554-8937
DOI:10.1021/acschembio.0c00900