iTRAQ, The High Throughput Data Analysis of Proteins to Understand Immunologic Expression in Insect

  • Amalia Muñoz-Gómez
  • Mauricio Corredor
  • Alfonso Benítez-Páez
  • Carlos Peláez
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 232)


Isobaric tags for relative and absolute quantification of protein expression (iTRAQ®) is a powerful tool which is combined with the accuracy of Mass Spectrometry for protein identification. This tool was approached to detect proteins associated to the innate immune system of Galleria mellonella in response to pathogenesis caused by Fusarium oxysporum. After experimental approaches, iTRAQ data was used to set up computational analysis based on identification and quantification of peptides and proteins against different protein databases by using ProteinPilotTM and Mascot Distiller search engines. iTRAQ battery was able to identify more than 340 peptides corresponding to 39 putative proteins from G. mellonella and close related species. Despite the low level of genomic and proteomic information available for G. mellonella, iTRAQ demonstrated to be reliable strategy to determine changes in protein expression as a consequence of the infection process induced in G. mellonella. Consequently, it was found differential expression in proteins directly involved in innate immune response such as cecropin-D-like peptide, lysozyme, and hemolin, indicating an active response of G. mellonella in early stages of fungal infection.


iTRAQ fungal infection innate immune system Galleria mellonella Fusarium oxysporum model insect 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Amalia Muñoz-Gómez
    • 1
    • 2
    • 3
  • Mauricio Corredor
    • 2
    • 3
  • Alfonso Benítez-Páez
    • 2
    • 3
  • Carlos Peláez
    • 1
  1. 1.Grupo Interdisciplinario de Estudios Moleculares (GIEM), Instituto de QuímicaUniversidad de AntioquiaMedellínColombia
  2. 2.Genética y Bioquímica de Microorganismos (GEBIOMIC), Instituto de BiologíaUniversidad de AntioquiaMedellínColombia
  3. 3.Grupo de Análisis Bioinformático (GABi), Centro de Investigación y Desarrollo en Biotecnología CIDBIOBogotá, D.C.Colombia

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