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      Structural Masquerade of Plesiomonas shigelloides Strain CNCTC 78/89 O-Antigen—High-Resolution Magic Angle Spinning NMR Reveals the Modified d-galactan I of Klebsiella pneumoniae

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          Abstract

          The high-resolution magic angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR) analysis of Plesiomonas shigelloides 78/89 lipopolysaccharide directly on bacteria revealed the characteristic structural features of the O-acetylated polysaccharide in the NMR spectra. The O-antigen profiles were unique, yet the pattern of signals in the, spectra along with their 1H, 13C chemical shift values, resembled these of d-galactan I of Klebsiella pneumoniae. The isolated O-specific polysaccharide (O-PS) of P. shigelloides strain CNCTC 78/89 was investigated by 1H and 13C NMR spectroscopy, mass spectrometry and chemical methods. The analyses demonstrated that the P. shigelloides 78/89 O-PS is composed of →3)-α- d-Gal p-(1→3)-β- d-Gal f2OAc-(1→ disaccharide repeating units. The O-acetylation was incomplete and resulted in a microheterogeneity of the O-antigen. This O-acetylation generates additional antigenic determinants within the O-antigen, forms a new chemotype, and contributes to the epitopes recognized by the O-serotype specific antibodies. The serological cross-reactivities further confirmed the inter-specific structural similarity of these O-antigens.

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          Most cited references45

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          A sensitive silver stain for detecting lipopolysaccharides in polyacrylamide gels.

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            A RAPID PERMETHYLATION OF GLYCOLIPID, AND POLYSACCHARIDE CATALYZED BY METHYLSULFINYL CARBANION IN DIMETHYL SULFOXIDE.

            S Hakomori (1964)
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              rNMR: open source software for identifying and quantifying metabolites in NMR spectra

              Despite the extensive use of nuclear magnetic resonance (NMR) for metabolomics, no publicly available tools have been designed for identifying and quantifying metabolites across multiple spectra. We introduce here a new open source software tool, rNMR, which provides a simple graphics-based method for visualizing, identifying, and quantifying metabolites across multiple one- or two-dimensional NMR spectra. rNMR differs from existing software tools for NMR spectroscopy in that analyses are based on regions of interest (ROIs) rather than peak lists. ROIs contain all of the underlying NMR data within user-defined chemical shift ranges. ROIs can be inspected visually, and they support robust quantification of NMR signals. ROI-based analyses support simultaneous views of metabolite signals from up to hundreds of spectra, and ROI boundaries can be adjusted dynamically to ensure that signals corresponding to assigned atoms are analyzed consistently throughout the dataset. We describe how rNMR greatly reduces the time required for robust bioanalytical analysis of complex NMR data. An rNMR analysis yields a compact and transparent way of archiving the results from a metabolomics study so that it can be examined and evaluated by others. The rNMR website at http://rnmr.nmrfam.wisc.edu offers downloadable versions of rNMR for Windows, Macintosh, and Linux platforms along with extensive help documentation, instructional videos, and sample data. Copyright © 2009 John Wiley & Sons, Ltd.

                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                29 November 2017
                December 2017
                : 18
                : 12
                : 2572
                Affiliations
                Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland; karolina.ucieklak@ 123456iitd.pan.wroc.pl (K.U.); sabina.koj@ 123456iitd.pan.wroc.pl (S.K.); damianpawelczyk@ 123456yahoo.pl (D.P.)
                Author notes
                [* ]Correspondence: tomasz.niedziela@ 123456iitd.pan.wroc.pl ; Tel.: +48-71-337-1172
                Article
                ijms-18-02572
                10.3390/ijms18122572
                5751175
                29186063
                b8b62efe-7221-417f-89c1-944823268a86
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 November 2017
                : 25 November 2017
                Categories
                Article

                Molecular biology
                plesiomonas shigelloides,o-antigen,lipopolysaccharide,o-acetylation,d-galactan i,hr-mas,nmr spectroscopy

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