De Novo Transcriptomic Analyses to Identify and Compare Allergens in Foods

Karnaneedi, Shaymaviswanathan, Limviphuvadh, Vachiranee, Maurer-Stroh, Sebastian, and Lopata, Andreas L. (2024) De Novo Transcriptomic Analyses to Identify and Compare Allergens in Foods. In: Cabanillas, Beatriz, (ed.) Food Allergens: Methods and Protocols. Methods in Molecular Biology, 2717 . Humana Press, New York, NY, USA, pp. 351-365.

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DOI: 10.1007/978-1-0716-3453-0_24

View at Publisher Website: https://doi.org/10.1007/978-1-0716-3453-...

Abstract

Food allergens have been traditionally identified using biomolecular and immunological approaches. However, the techniques used in extracting proteins from the food source to be analyzed may hinder the availability of all proteins when assessing immunological allergenicity. Additionally, depending on the number and pool of patient sera used to detect the IgE antibody-binding allergens, some allergens may not be detected if not all the patients in the pool are sensitized to all the allergens. To overcome these limitations, we describe an additional approach before the in vitro approaches, by analyzing the transcriptome in silico for all putative allergens within the analyzed food source.


Item ID:	82117
Item Type:	Book Chapter (Scholarly Work)
ISBN:	978-1-0716-3453-0
ISSN:	1940-6029
Keywords:	Allergen database, Allergen identification, Bioinformatics, BLAST search, Food allergen, Homologous allergen, RNA-Seq, Transcriptome assembly, Transcriptomic, Tropomyosin
Copyright Information:	The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024
Date Deposited:	07 Nov 2024 00:53
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3204 Immunology > 320401 Allergy @ 30% 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3006 Food sciences > 300605 Food safety, traceability, certification and authenticity @ 30% 31 BIOLOGICAL SCIENCES > 3101 Biochemistry and cell biology > 310109 Proteomics and intermolecular interactions (excl. medical proteomics) @ 40%
SEO Codes:	20 HEALTH > 2004 Public health (excl. specific population health) > 200405 Food safety @ 60% 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 40%
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