Analysis of Overlapped and Noisy Hydrogen/Deuterium Exchange Mass Spectra
Guttman, Miklos ; Weis, David D. ; Engen, John R. ; Lee, Kelly K.
Guttman, Miklos
Weis, David D.
Engen, John R.
Lee, Kelly K.
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Abstract
Noisy and overlapped mass spectrometry data hinders the sequence coverage that can be obtained from Hydrogen Deuterium exchange analysis, and places a limit on the complexity of the samples that can be studied by this technique. Advances in instrumentation have addressed these limits, but as the complexity of the biological samples under investigation increases, these problems are reencountered. Here we describe the use of binomial distribution fitting with asymmetric linear squares regression for calculating the accurate deuterium content for mass envelopes of low signal or that contain significant overlap. The approach is demonstrated with a test data set of HIV Env gp140 wherein inclusion of the new analysis regime resulted in obtaining exchange data for 42 additional peptides, improving the sequence coverage by 11%. At the same time, the precision of deuterium uptake measurements was improved for nearly every peptide examined. The improved processing algorithms also provide an efficient method for deconvolution of bimodal mass envelopes and EX1 kinetic signatures. All these functions and visualization tools have been implemented in the new version of the freely available software, HX-Express v2.
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This document is the Accepted Manuscript version of a Published Work that appeared in final form in the Journal of the American Chemical Society, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://doi.org/10.1007/s13361-013-0727-5.
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2013-12
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American Chemical Society
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Guttman, M., Weis, D. D., Engen, J. R., & Lee, K. K. (2013). Analysis of Overlapped and Noisy Hydrogen/Deuterium Exchange Mass Spectra. Journal of the American Society for Mass Spectrometry, 24(12), 10.1007/s13361–013–0727–5. http://doi.org/10.1007/s13361-013-0727-5