Literature DB >> 11857767

Automated deconvolution and deisotoping of electrospray mass spectra.

Marco Wehofsky1, Ralf Hoffmann.   

Abstract

Electrospray ionization (ESI) of peptides and proteins produces a series of multiply charged ions with a mass/charge (m/z) ratio between 500 and 2000. The resulting mass spectra are crowded by these multiple charge values for each molecular mass and an isotopic cluster for each nominal m/z value. Here, we report a new algorithm simultaneously to deconvolute and deisotope ESI mass spectra from complex peptide samples based on their mass-dependent isotopic mean pattern. All signals corresponding to one peptide in the sample were reduced to one singly charged monoisotopic peak, thereby significantly reducing the number of signals, increasing the signal intensity and improving the signal-to-noise ratio. The mass list produced could be used directly for database searching. The developed algorithm also simplified interpretation of fragment ion spectra of multiply charged parent ions. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 11857767     DOI: 10.1002/jms.278

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


  11 in total

1.  Deconvolution and database search of complex tandem mass spectra of intact proteins: a combinatorial approach.

Authors:  Xiaowen Liu; Yuval Inbar; Pieter C Dorrestein; Colin Wynne; Nathan Edwards; Puneet Souda; Julian P Whitelegge; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2010-09-20       Impact factor: 5.911

2.  Increasing peptide identification in tandem mass spectrometry through automatic function switching optimization.

Authors:  Brian Carrillo; Kossi Lekpor; Corey Yanofsky; Alexander W Bell; Daniel Boismenu; Robert E Kearney
Journal:  J Am Soc Mass Spectrom       Date:  2005-09-28       Impact factor: 3.109

3.  Mono-isotope Prediction for Mass Spectra Using Bayes Network.

Authors:  Hui Li; Chunmei Liu; Mugizi Robert Rwebangira; Legand Burge
Journal:  Tsinghua Sci Technol       Date:  2014-12-01       Impact factor: 2.016

4.  Quantifying Kinase-Specific Phosphorylation Stoichiometry Using Stable Isotope Labeling In a Reverse In-Gel Kinase Assay.

Authors:  Xiang Li; Jonathan T Cox; Weiliang Huang; Maureen Kane; Keqi Tang; Charles J Bieberich
Journal:  Anal Chem       Date:  2016-11-18       Impact factor: 6.986

5.  Reducing the haystack to find the needle: improved protein identification after fast elimination of non-interpretable peptide MS/MS spectra and noise reduction.

Authors:  Nedim Mujezinovic; Georg Schneider; Michael Wildpaner; Karl Mechtler; Frank Eisenhaber
Journal:  BMC Genomics       Date:  2010-02-10       Impact factor: 3.969

6.  Correcting for the effects of natural abundance in stable isotope resolved metabolomics experiments involving ultra-high resolution mass spectrometry.

Authors:  Hunter Nb Moseley
Journal:  BMC Bioinformatics       Date:  2010-03-17       Impact factor: 3.169

7.  Algorithm for processing raw mass spectrometric data to identify and quantitate complex lipid molecular species in mixtures by data-dependent scanning and fragment ion database searching.

Authors:  Haowei Song; Fong-Fu Hsu; Jack Ladenson; John Turk
Journal:  J Am Soc Mass Spectrom       Date:  2007-07-29       Impact factor: 3.109

8.  Mass Spectrometry in Pharmacokinetic Studies of a Synthetic Compound for Spinal Cord Injury Treatment.

Authors:  María Sánchez-Sierra; Isabel García-Álvarez; Alfonso Fernández-Mayoralas; Sandra Moreno-Lillo; Gemma Barroso García; Verónica Moral Dardé; Ernesto Doncel-Pérez
Journal:  Biomed Res Int       Date:  2015-05-19       Impact factor: 3.411

9.  NITPICK: peak identification for mass spectrometry data.

Authors:  Bernhard Y Renard; Marc Kirchner; Hanno Steen; Judith A J Steen; Fred A Hamprecht
Journal:  BMC Bioinformatics       Date:  2008-08-28       Impact factor: 3.169

10.  multiplierz: an extensible API based desktop environment for proteomics data analysis.

Authors:  Jignesh R Parikh; Manor Askenazi; Scott B Ficarro; Tanya Cashorali; James T Webber; Nathaniel C Blank; Yi Zhang; Jarrod A Marto
Journal:  BMC Bioinformatics       Date:  2009-10-29       Impact factor: 3.169

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