Literature DB >> 15907708

MALDI-TOF MS analysis of urinary nucleosides.

Bernd Kammerer1, Antje Frickenschmidt, Christoph H Gleiter, Stefan Laufer, Hartmut Liebich.   

Abstract

As RNA turnover seems to be impaired in cancer patients, modified nucleosides have been evaluated as potential tumor markers. Modified nucleosides are mainly formed post-transcriptionally in tRNA, set free during RNA metabolism, and excreted in urine. Especially methylated nucleosides play an important role, as their levels are higher in urine from cancer patients. For structural elucidation of known and unknown nucleosides from urine samples of cancer patients, MALDI-TOF MS and MALDI-PSD were used for the first time. This technique generally ensures high sensitivity, mass resolution, and accuracy. In our analytical approach we prepurified nucleosides from urine by affinity chromatography and subsequently separated them by semipreparative high performance liquid chromatography. The different fractions were collected separately and analyzed by MALDI-TOF MS and PSD-MALDI using a mixture of six low molecular weight calibrants for internal or external calibration. The molecular totals formulas based on a mass accuracy of 10 ppm and below were calculated and a systematic data base search was performed. The inherent problem of the MALDI-technique, the reduced sensitivity for low molecular weight substances caused by matrix suppression effects, was reduced by our technique. We identified several nucleosides in urine, which were previously identified via retention times and UV spectra of standards after HPLC analysis. Eight further nucleosides were observed. This work demonstrates for the first time the potential of MALDI-TOF and PSD-MALDI in combination with semipreparative HPLC for assignment of nucleosides in urine. The particularly high mass accuracy of this mass spectrometric method provides opportunities for identifying unknown compounds.

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Year:  2005        PMID: 15907708     DOI: 10.1016/j.jasms.2005.02.018

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  25 in total

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  11 in total

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3.  Simultaneous Quantification of Nucleosides and Nucleotides from Biological Samples.

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4.  High information throughput analysis of nucleotides and their isotopically enriched isotopologues by direct-infusion FTICR-MS.

Authors:  Pawel Lorkiewicz; Richard M Higashi; Andrew N Lane; Teresa W-M Fan
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5.  Identification of urinary modified nucleosides and ribosylated metabolites in humans via combined ESI-FTICR MS and ESI-IT MS analysis.

Authors:  Dino Bullinger; Richard Fux; Graeme Nicholson; Stefan Plontke; Claus Belka; Stefan Laufer; Christoph H Gleiter; Bernd Kammerer
Journal:  J Am Soc Mass Spectrom       Date:  2008-06-28       Impact factor: 3.109

Review 6.  The state-of-the-art determination of urinary nucleosides using chromatographic techniques "hyphenated" with advanced bioinformatic methods.

Authors:  Wiktoria Struck; Małgorzata Waszczuk-Jankowska; Roman Kaliszan; Michał J Markuszewski
Journal:  Anal Bioanal Chem       Date:  2011-02-27       Impact factor: 4.142

7.  Exometabolom analysis of breast cancer cell lines: Metabolic signature.

Authors:  Lucas Willmann; Thalia Erbes; Sebastian Halbach; Tilman Brummer; Markus Jäger; Marc Hirschfeld; Tanja Fehm; Hans Neubauer; Elmar Stickeler; Bernd Kammerer
Journal:  Sci Rep       Date:  2015-08-21       Impact factor: 4.379

Review 8.  5'-Methylthioadenosine and Cancer: old molecules, new understanding.

Authors:  Yaofeng Li; Yubo Wang; Ping Wu
Journal:  J Cancer       Date:  2019-01-29       Impact factor: 4.207

9.  Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection.

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10.  Metabolic signature of breast cancer cell line MCF-7: profiling of modified nucleosides via LC-IT MS coupling.

Authors:  Dino Bullinger; Hans Neubauer; Tanja Fehm; Stefan Laufer; Christoph H Gleiter; Bernd Kammerer
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