2007
DOI: 10.1021/ja076225s
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2D Correlation Deep UV Resonance Raman Spectroscopy of Early Events of Lysozyme Fibrillation:  Kinetic Mechanism and Potential Interpretation Pitfalls

Abstract: The early stages of hen egg white lysozyme (HEWL) fibrillation were quantitatively characterized by two-dimensional correlation deep UV resonance Raman spectroscopy (2D-DUVRR) in terms of the sequential order of events and their characteristic times. The evolution of individual secondary structural elements was established through the correlation between Amide I, Amide III, and Calpha-H bending Raman bands. The temporal order of tertiary and individual secondary structural changes was probed through the cross-… Show more

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Cited by 86 publications
(115 citation statements)
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“…Advanced statistical methods allow for retrieving of reliable information from data sets that is not otherwise evident. We have been successful in developing and applying advanced statistical analysis of Raman spectra for biochemical [19][20][21][22][23][24][25][26][27] and forensic purposes [7][8][9]11,13].…”
Section: Open Accessmentioning
confidence: 99%
“…Advanced statistical methods allow for retrieving of reliable information from data sets that is not otherwise evident. We have been successful in developing and applying advanced statistical analysis of Raman spectra for biochemical [19][20][21][22][23][24][25][26][27] and forensic purposes [7][8][9]11,13].…”
Section: Open Accessmentioning
confidence: 99%
“…We illustrate this approach by reviewing our studies of the structural rearrangements of hen egg white lysozyme at the initial stage of fibril formation. [53,54] …”
Section: Difficulties In Interpretation Of 2d Correlation Mapsmentioning
confidence: 99%
“…Since the spectra of pure secondary structures are not observable in the experiment, we proposed to use the calculated pure component spectra as the closest estimate of the basis secondary structure spectra. [53] These pure component spectra are calculated by independent component analysis (ICA), [77] pure variable [77] and Bayesian source separation approaches. [78] The proposed approach discovered the source of potential misinterpretation of 2DCoS results.…”
Section: Simulation-aided Approach To Interpretation Of 2d Correlatiomentioning
confidence: 99%
See 1 more Smart Citation
“…Nowadays, a more advanced formalism based on Hilbert transformation is widely employed for calculation because of its computational efficiency and simplicity [17]. To date, 2D correlation analysis has been utilized to analyze many kinds of one-dimensional (1D) spectroscopic data including electronic, IR, NMR, X-ray and Raman spectra, and was found useful for an in-depth study of spectral variations caused by external factors [18][19][20][21][22][23][24]. Recently, Hore and coworkers first suggested applying 2D correlation analysis to investigate the simulated sum-frequency spectra, and demonstrated that 2D correlation analysis can also be readily applied to the sum-frequency vibrational spectroscopy [25].…”
mentioning
confidence: 99%