Literature DB >> 22689626

GenoMass software: a tool based on electrospray ionization tandem mass spectrometry for characterization and sequencing of oligonucleotide adducts.

Vaneet K Sharma1, James Glick, Qing Liao, Chang Shen, Paul Vouros.   

Abstract

The analysis of DNA adducts is of importance in understanding DNA damage, and in the last few years mass spectrometry (MS) has emerged as the most comprehensive and versatile tool for routine characterization of modified oligonucleotides. The structural analysis of modified oligonucleotides, although routinely analyzed using mass spectrometry, is followed by a large amount of data, and a significant challenge is to locate the exact position of the adduct by computational spectral interpretation, which still is a bottleneck. In this report, we present an additional feature of the in-house developed GenoMass software, which determines the exact location of an adduct in modified oligonucleotides by connecting tandem mass spectrometry (MS/MS) to a combinatorial isomer library generated in silico for nucleic acids. The performance of this MS/MS approach using GenoMass software was evaluated by MS/MS data interpretation for an unadducted and its corresponding N-acetylaminofluorene (AAF) adducted 17-mer (5'OH-CCT ACC CCT TCC TTG TA-3'OH) oligonucleotide. Further computational screening of this AAF adducted 17-mer oligonucleotide (5'OH-CCT ACC CCT TCC TTG TA-3'OH) from a complex oligonucleotide mixture was performed using GenoMass. Finally, GenoMass was also used to identify the positional isomers of the AAF adducted 15-mer oligonucleotide (5'OH-ATGAACCGGAGGCCC-3'OH). GenoMass is a simple, fast, data interpretation software that uses an in silico constructed library to relate the MS/MS sequencing approach to identify the exact location of adduct on oligonucleotides.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22689626      PMCID: PMC3375619          DOI: 10.1002/jms.2054

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  17 in total

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