journal article May 31, 2017

The structural flexibility of the human copper chaperone Atox1: Insights from combined pulsed EPR studies and computations

Protein Science Vol. 26 No. 8 pp. 1609-1618 · Wiley
Abstract
AbstractMetallochaperones are responsible for shuttling metal ions to target proteins. Thus, a metallochaperone's structure must be sufficiently flexible both to hold onto its ion while traversing the cytoplasm and to transfer the ion to or from a partner protein. Here, we sought to shed light on the structure of Atox1, a metallochaperone involved in the human copper regulation system. Atox1 shuttles copper ions from the main copper transporter, Ctr1, to the ATP7b transporter in the Golgi apparatus. Conventional biophysical tools such as X‐ray or NMR cannot always target the various conformational states of metallochaperones, owing to a requirement for crystallography or low sensitivity and resolution. Electron paramagnetic resonance (EPR) spectroscopy has recently emerged as a powerful tool for resolving biological reactions and mechanisms in solution. When coupled with computational methods, EPR with site‐directed spin labeling and nanoscale distance measurements can provide structural information on a protein or protein complex in solution. We use these methods to show that Atox1 can accommodate at least four different conformations in the apo state (unbound to copper), and two different conformations in the holo state (bound to copper). We also demonstrate that the structure of Atox1 in the holo form is more compact than in the apo form. Our data provide insight regarding the structural mechanisms through which Atox1 can fulfill its dual role of copper binding and transfer.
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Citations
70
References
Details
Published
May 31, 2017
Vol/Issue
26(8)
Pages
1609-1618
License
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Funding
Israel Science Foundation Award: 280/12
Cite This Article
Ariel R. Levy, Meital Turgeman, Lada Gevorkyan‐Aiapetov, et al. (2017). The structural flexibility of the human copper chaperone Atox1: Insights from combined pulsed EPR studies and computations. Protein Science, 26(8), 1609-1618. https://doi.org/10.1002/pro.3197
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