• DocumentCode
    612434
  • Title

    Different protein profile in amniotic fluid with nervous system malformations by SELDI-TOF-MS technology

  • Author

    Zheng Yanling ; Liu Cun

  • Author_Institution
    Sch. of Math. Sci., Univ. of Jinan, Jinan, China
  • fYear
    2013
  • fDate
    25-28 May 2013
  • Firstpage
    536
  • Lastpage
    540
  • Abstract
    To detect the distinct proteins in amniotic fluid between nervous system malformations fetuses and normal fetuses. Surface-enhanced laser desorption-ionization/time-of-flight mass spectrometry was used to characterize amniotic fluid peptides in amniotic fluid between nervous system malformations fetuses and normal fetuses. Protein chips were used to characterize amniotic fluid peptides in amniotic fluid. Protein chips were examined in protein reader, the protein profiling was collected by proteinchip software 3.1 and analyzed by Biomarker Wizard software. Nine distinct proteins were identified in amniotic fluid between nervous system malformations fetuses and normal fetuses. The results suggest that there are distinct proteins in protein profiling of amniotic fluid between nervous system malformations fetuses and normal fetuses.
  • Keywords
    biochemistry; desorption; ionisation; medical disorders; molecular biophysics; neurophysiology; paediatrics; proteins; time of flight mass spectroscopy; SELDI-TOF-MS technology; amniotic fluid peptides; biomarker wizard software; nervous system malformation fetuses; protein chip software 3.1; protein profile; protein profiling; protein reader; surface-enhanced laser desorption-ionization-time-of-flight mass spectrometry; Amniotic fluid; Mass spectroscopy; Nervous system; Pregnancy; Protein engineering; Proteins; Proteomics; Amniotic fluid; Fetal nervous system malformations; Proteomics; Surface-enhanced laser desorption-ionizationltime-of-flight mass spectrometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2013 ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2970-5
  • Type

    conf

  • DOI
    10.1109/ICCME.2013.6548308
  • Filename
    6548308