Literature DB >> 394768

Characterization of normal human cells by pyrolysis gas chromatography mass spectrometry.

E Reiner, L E Abbey, T F Moran, P Papamichalis, R W Schafer.   

Abstract

Differentiation of normal human cells has been accomplished by pyrolysis gas chromatography mass spectrometry. Normal cells from human kidney, spleen, liver and brain tissues have been pyrolyzed and the products chromatographically separated and characterized by mass spectrometry. Molecular pyrolysis products giving rise to the characteristic pyro-mass chromatograms include, but are not limited to, alkenes, alkanes, nitriles and various ring compounds. Single ion mass chromatograms as well as multiple ion mass chromatograms have been used to explore the characteristic differences between various tissue materials. A dynamic computer methodology for comparing pyro-mass chromatograms has been developed for use in automatic identification and classification of the human cellular material.

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Year:  1979        PMID: 394768     DOI: 10.1002/bms.1200061107

Source DB:  PubMed          Journal:  Biomed Mass Spectrom        ISSN: 0306-042X


  4 in total

1.  Differentiation and characterization of Klebsiella pneumoniae strains by pyrolysis-gas-liquid chromatography-mass spectrometry.

Authors:  L E Abbey; A K Highsmith; T F Moran; E J Reiner
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

2.  ChromA: signal-based retention time alignment for chromatography-mass spectrometry data.

Authors:  Nils Hoffmann; Jens Stoye
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

3.  Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets.

Authors:  Nils Hoffmann; Matthias Keck; Heiko Neuweger; Mathias Wilhelm; Petra Högy; Karsten Niehaus; Jens Stoye
Journal:  BMC Bioinformatics       Date:  2012-08-27       Impact factor: 3.169

4.  A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments.

Authors:  Mark D Robinson; David P De Souza; Woon Wai Keen; Eleanor C Saunders; Malcolm J McConville; Terence P Speed; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2007-10-29       Impact factor: 3.169

  4 in total

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