Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Allergens identification in food: the MaxQuant setting

Conference Poster
Publication Date:
2022
abstract:
The experiment workflow to identify the immunoreactive food allergens is well established. After extraction of allergens from the food matrix, the proteins are separated by electrophoretic technique, blotted on nitrocellulose membranes and immunorecognised by the allergic patient's IgEs. The immunereactive bands are cut, digested by trypsin and identified by MS technique. In our set-up, after LC-MS/MS analysis, protein identification is performed by using MaxQuant software. In order to discover which is the "allergen" among all the proteins present in the band, we have to: i) identify all the band-contained proteins, ii) evaluate their relative abundance and iii) find out which is the protein involved in patient's IgE binding. Considering that MaxQuant default setting is designed for off-gel comparative proteomics, to extend its applicability to our purposes we modified some parameters (i.e. peptide to be included in the identification, the score value of modified and unmodified peptides, iBAQ calculation). The comparison between default and our setting will be presented.
Iris type:
04.03 Poster in Atti di convegno
Keywords:
Mass Spectrometry; Max Quant; Allergen discovery
List of contributors:
Giuffrida, MARIA GABRIELLA; Cavallarin, Laura; Lamberti, Cristina; Cirrincione, Simona
Authors of the University:
CAVALLARIN LAURA
CIRRINCIONE SIMONA
GIUFFRIDA MARIA GABRIELLA
LAMBERTI CRISTINA
Handle:
https://iris.cnr.it/handle/20.500.14243/415429
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)