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Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering
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Conformational Stability and Dynamics in Crystals Recapitulate Protein Behavior in Solution.

Benedetta Maria Sala1, Tanguy Le Marchand2, Guido Pintacuda2

  • 1Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.

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|August 8, 2020
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Summary

Protein crystals accurately reflect solution behavior, showing similar dynamics and stability. This confirms crystals are valuable for studying protein unfolding and aggregation, including pathological hidden states.

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Area of Science:

  • Biophysics
  • Structural Biology
  • Protein Science

Background:

  • Proteins can retain function and flexibility in crystalline environments.
  • Amyloidogenic protein precursors' transient states correlate with pathology.
  • The relationship between in-crystal and in-solution protein behavior is not fully understood.

Purpose of the Study:

  • To investigate if biophysical properties of proteins in microcrystalline states mirror their solution behavior.
  • To compare the conformational dynamics and stability of β2-microglobulin in solution versus its microcrystalline form.

Main Methods:

  • Nuclear Magnetic Resonance (NMR) chemical shifts
  • Molecular Dynamics (MD) simulations
  • Fourier Transform Infrared (FTIR) spectroscopy

Main Results:

  • NMR and MD simulations confirmed that β2-microglobulin's conformational dynamics in crystals match solution dynamics.
  • FTIR analysis showed that protein thermal stability in crystals is consistent with solution studies.
  • Crystalline samples yielded better-resolved spectral components due to increased structural order.

Conclusions:

  • Protein stability and the presence of pathological hidden states in crystals parallel their behavior in solution.
  • Crystals serve as a valid platform for biophysical characterization of protein unfolding and aggregation.
  • This study validates the use of crystallo characterization for understanding protein dynamics and disease-related states.