Literature DB >> 17878316

Principal component analysis of the pH-dependent conformational transitions of bovine beta-lactoglobulin monitored by heteronuclear NMR.

Kazumasa Sakurai1, Yuji Goto.   

Abstract

To clarify the pH-dependent conformational transitions of proteins, we propose an approach in which structural changes monitored by heteronuclear sequential quantum correlation (HSQC) spectroscopy were analyzed by using a principal component analysis (PCA). We use bovine beta-lactoglobulin, a protein widely used in protein folding studies, as a target. First, we measured HSQC spectra at various pH values and subjected them to a PCA. The analysis revealed three apparent transitions with pK(a) values of 2.9, 4.9, and 6.8, consistent with previous reports using different methods. Next, Gdn-HCl-induced unfolding was examined by measuring tryptophan fluorescence at various pH values. Between pH 2 and 8, beta-lactoglobulin exhibited a number of structural transitions as well as changes in stability represented by the free energy change of unfolding, DeltaG(U). By combining the NMR and fluorescence results, the change in DeltaG(U) was suggested to result from the decreased pK(a) of some acidic residues. Notably, the native state at neutral pH is destabilized by deprotonation of Glu-89, leading to an increase in the relative population of the intermediate. Thus, the PCA of pH-dependent HSQC spectra provides a more comprehensive understanding of the stability and function of proteins.

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Year:  2007        PMID: 17878316      PMCID: PMC2000507          DOI: 10.1073/pnas.0702112104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

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Journal:  Biochemistry       Date:  2000-04-04       Impact factor: 3.162

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  29 in total

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Authors:  Ian M Robertson; Robert F Boyko; Brian D Sykes
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Review 8.  Applications of NMR and computational methodologies to study protein dynamics.

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9.  The BADC and BCCP subunits of chloroplast acetyl-CoA carboxylase sense the pH changes of the light-dark cycle.

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