2019
DOI: 10.1093/toxsci/kfz078
|View full text |Cite
|
Sign up to set email alerts
|

Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
20
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(20 citation statements)
references
References 38 publications
0
20
0
Order By: Relevance
“…Previous work using 50,090 protein sequences from maize found the sliding-window bioinformatic approach to falsely implicate 19.9% of putative non-allergens as allergens, while the 1:1 FASTA approach falsely implicated 7.5% of proteins. 16 Using the 125 high-abundance nonallergens from food crops 15 , false-positive rates were found to be 8.8% for the sliding-window approach and 0.8% for the 1:1 FASTA approach. The 8-amino acid exact match criterion falsely implicated 2.4% of the 125 high-abundance foodcrop proteins and the celiac-peptide-motif search incorrectly found 10.4% of the 125 non-allergenic proteins to represent a celiac-disease risk (only 1 of which originated from a crop known to cause celiac symptoms, wheat, but with no reports of this peptide causing celiac disease).…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Previous work using 50,090 protein sequences from maize found the sliding-window bioinformatic approach to falsely implicate 19.9% of putative non-allergens as allergens, while the 1:1 FASTA approach falsely implicated 7.5% of proteins. 16 Using the 125 high-abundance nonallergens from food crops 15 , false-positive rates were found to be 8.8% for the sliding-window approach and 0.8% for the 1:1 FASTA approach. The 8-amino acid exact match criterion falsely implicated 2.4% of the 125 high-abundance foodcrop proteins and the celiac-peptide-motif search incorrectly found 10.4% of the 125 non-allergenic proteins to represent a celiac-disease risk (only 1 of which originated from a crop known to cause celiac symptoms, wheat, but with no reports of this peptide causing celiac disease).…”
Section: Resultsmentioning
confidence: 99%
“…The 178 UniRef90 Cluster IDs listed in Table 4 of Krutz et al 15 , were used to search the UniProt database to obtain an amino acid sequence for each protein. Of these sequences, 169 returned current entries, and of those, 125 indicated the same source organism as listed in Table 4 of Krutz et al The amino acid sequences for these 125 high-abundance nonallergens were compared with the allergen sequences in the COMPARE database version 2019 (http://db.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…They take into account, not only the sequence identity, but also the presence of characteristic motifs on the protein surface, such as B, T and IgE epitopes, the hydrophobic residues or structural similarity regions (Ivanciuc, Schein, and Braun 2003;). These techniques help predicting cross-reactivity between allergens, though they have also been used for the identification of proteins with low allergenic potential in novel foods, which can be used for the development and validation of methods to assess proteins with allergenic potential (Krutz et al 2019).…”
Section: Bioinformaticsmentioning
confidence: 99%
“…Currently, there is no generally accepted method for ITH hazard or risk evaluation. Some studies have reported potential approaches, such as the use of a passive cutaneous anaphylaxis (PCA) test, the Buehler guinea pig skin sensitization test method, and proteomics and protein sequence analyses (Krutz et al, 2019; Matsunaga et al, 2015; Maurer‐Stroh et al, 2019). Furthermore, during an exposure assessment, the exposure amount should be calculated on the basis of the dose metric, correlating with the incidence of toxicity.…”
Section: Introductionmentioning
confidence: 99%