Literature DB >> 31564765

A study of the properties of Gaussian mixture model for stable isotope standard quantification in MALDI-TOF MS.

John Christian G Spainhour1, Michael G Janech2, Viswanathan Ramakrishnan3.   

Abstract

The quantification of peptides in Matrix assisted laser desorption/ionization time-of-flight mass spectrum analysis coupled with stable isotope standards has been used to quantify native peptides under many experimental conditions. This approach has difficulties quantifying samples containing peptides with ion currents in overlapping (convolved) spectra. In a previous article we proposed a reparametrized Gaussian mixture model based on the known characteristics of the peptides that could also accommodate overlapping spectra. We demonstrated the application of our model in a series of single and overlapping peptides quantification experiments. Here, we focus solely on studying the properties of our approach and examine the characteristics of the GMM approach in convolved peptides using simulated spectra and provide a method for simulating these spectra.

Entities:  

Keywords:  Gaussian mixture; MALDI-TOF MS; spectra simulation

Year:  2018        PMID: 31564765      PMCID: PMC6764515          DOI: 10.1080/03610918.2017.1422748

Source DB:  PubMed          Journal:  Commun Stat Simul Comput        ISSN: 0361-0918            Impact factor:   1.118


  20 in total

1.  A hybrid of exponential and gaussian functions as a simple model of asymmetric chromatographic peaks.

Authors:  K Lan; J W Jorgenson
Journal:  J Chromatogr A       Date:  2001-04-27       Impact factor: 4.759

2.  Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS.

Authors:  Scott A Gerber; John Rush; Olaf Stemman; Marc W Kirschner; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-27       Impact factor: 11.205

Review 3.  Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present.

Authors:  Marcus Bantscheff; Simone Lemeer; Mikhail M Savitski; Bernhard Kuster
Journal:  Anal Bioanal Chem       Date:  2012-07-08       Impact factor: 4.142

Review 4.  SELDI-TOF mass spectra: a view on sources of variation.

Authors:  Martijn Dijkstra; Roel J Vonk; Ritsert C Jansen
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-11-21       Impact factor: 3.205

5.  Optimal analysis of complex protein mass spectra.

Authors:  Martijn Dijkstra; Ritsert C Jansen
Journal:  Proteomics       Date:  2009-08       Impact factor: 3.984

6.  Enzymatic processing of angiotensin peptides by human glomerular endothelial cells.

Authors:  Juan Carlos Q Velez; Jessalyn L Ierardi; Alison M Bland; Thomas A Morinelli; John M Arthur; John R Raymond; Michael G Janech
Journal:  Am J Physiol Renal Physiol       Date:  2012-03-28

7.  Characterization of renin-angiotensin system enzyme activities in cultured mouse podocytes.

Authors:  Juan Carlos Q Velez; Alison M Bland; John M Arthur; John R Raymond; Michael G Janech
Journal:  Am J Physiol Renal Physiol       Date:  2007-04-11

8.  A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data.

Authors:  Cong Zhou; Lucas D Bowler; Jianfeng Feng
Journal:  BMC Bioinformatics       Date:  2008-07-30       Impact factor: 3.169

9.  The application of Gaussian mixture models for signal quantification in MALDI-TOF mass spectrometry of peptides.

Authors:  John Christian G Spainhour; Michael G Janech; John H Schwacke; Juan Carlos Q Velez; Viswanathan Ramakrishnan
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

10.  Data Analysis Methods for Synthetic Polymer Mass Spectrometry: Autocorrelation.

Authors:  William E Wallace; Charles M Guttman
Journal:  J Res Natl Inst Stand Technol       Date:  2002-02-01
View more
  1 in total

Review 1.  Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps.

Authors:  Eman Alnabati; Daisuke Kihara
Journal:  Molecules       Date:  2019-12-24       Impact factor: 4.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.