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Published on: January 20, 2022
Propagating Error through Traveling-Wave Ion Mobility Calibration
Alexis N Edwards1, Hien M Tran1, Elyssia S Gallagher1
1Department of Chemistry and Biochemistry, Baylor University, One Bear Place #97348, Waco, Texas 76798, United States.
Native ion mobility spectrometry (IM-MS) provides insights into protein structures. Properly accounting for calibration uncertainty in traveling-wave IM-MS (TWIMS) improves structural comparisons with gas-phase data.
Area of Science:
- Biophysical Chemistry
- Structural Biology
- Mass Spectrometry
Background:
- Native mass spectrometry (MS) analyzes protein complexes in the gas phase, but ionization alters structures from solution.
- Gas-phase protein conformations offer insights into solution-phase energy landscapes.
- Ion mobility (IM) spectrometry characterizes gas-phase protein structures.
Purpose of the Study:
- To investigate gas-phase protein conformations using ion mobility spectrometry.
- To assess the impact of calibration uncertainty on traveling-wave ion mobility spectrometry (TWIMS) measurements.
- To improve the comparability of gas-phase protein structures derived from TWIMS with other experimental and computational data.
Main Methods:
- Calibrated a traveling-wave ion mobility spectrometry (TWIMS) instrument.
- Derived collision cross-section (CCS) values (TWCCS$_{N2}$ and TWCCS$_{N2→He}$) for four proteins.
- Propagated calibration error through TWIMS measurements.
Main Results:
- Reporting TWIMS collision cross-section (CCS) values with propagated calibration uncertainty significantly increased agreement with literature drift tube CCS (DT-CCS) values.
- This approach provides a more comprehensive assessment of protein ion gas-phase conformations.
- Four proteins (cytochrome c, ubiquitin, apo-myoglobin, holo-myoglobin) were analyzed.
Conclusions:
- Accurate error propagation in TWIMS calibration is crucial for reliable structural analysis.
- Improved gas-phase structural data enhances comparisons between native IM-MS and other structural datasets.
- This method refines the understanding of protein conformational landscapes in the gas phase.
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