Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA

Immunological research in wildlife presents a unique opportunity to acquire crucial information about animal and ecosystem health. However, it is often limited by the lack of species-specific reagents and understanding of immune systems in wildlife. For the American manatee (Trichechus manatus), the...

Full description

Autores:
Diaz Yayguaje, Mariapaula
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/74971
Acceso en línea:
https://hdl.handle.net/1992/74971
Palabra clave:
Immunoglobulin A
Immunoassays
Confirmation of computational predictions
Cross-reactivity
American manatee
Microbiología
Rights
embargoedAccess
License
Attribution 4.0 International
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dc.title.eng.fl_str_mv Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
title Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
spellingShingle Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
Immunoglobulin A
Immunoassays
Confirmation of computational predictions
Cross-reactivity
American manatee
Microbiología
title_short Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
title_full Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
title_fullStr Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
title_full_unstemmed Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
title_sort Confirmation of Computational Biology Predictions on Cross-Reactivity in the Identification of American Manatee (Trichechus manatus) IgA
dc.creator.fl_str_mv Diaz Yayguaje, Mariapaula
dc.contributor.advisor.none.fl_str_mv Valderrama Aguirre, Augusto Elias
Caballero Gaitán, Susana Josefina
dc.contributor.author.none.fl_str_mv Diaz Yayguaje, Mariapaula
dc.contributor.researchgroup.none.fl_str_mv Facultad de Ciencias::Laboratorio de Ecologia Molecular de Vertebrados Acuaticos
dc.subject.keyword.eng.fl_str_mv Immunoglobulin A
Immunoassays
Confirmation of computational predictions
Cross-reactivity
American manatee
topic Immunoglobulin A
Immunoassays
Confirmation of computational predictions
Cross-reactivity
American manatee
Microbiología
dc.subject.themes.spa.fl_str_mv Microbiología
description Immunological research in wildlife presents a unique opportunity to acquire crucial information about animal and ecosystem health. However, it is often limited by the lack of species-specific reagents and understanding of immune systems in wildlife. For the American manatee (Trichechus manatus), there is a notable gap in information regarding their immune molecules, and their impact on animal health, particularly the lack of IgA transfer in orphaned manatee calves fed with milk supplements. Immunoinformatic predictions suggested cross-reactivity between manatee IgA and anti-human polyclonal reagents due to the similarity of human and manatee IgA. The present study aimed to confirm this cross-reactivity with manatee IgA in milk samples. A dot blot assay verified the reagent's functionality and cross-reactivity with manatee samples. Immunoblotting identified the protein in manatee milk, followed by direct ELISA to optimize reagent dilutions. Cross-reactivity with a milk protein was observed in all three assays. Manatee proteins ranged from 39-46 kD, while human IgA used as a positive control weighed 61 kD. The 1:2000 reagent dilution showed the highest signal/noise ratio, indicating optimal concentration. Despite molecular weight differences preventing definitive confirmation of the identified protein as manatee IgA, partial validation of immunoinformatic predictions was achieved. These findings provide researchers a model for identifying effective reagents, reducing costs using non-specific reagents. Future studies with higher quality samples are needed to confirm and explore IgA's role in manatee health and improve the quality of the supplements used in rehabilitation centers.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-08-05T13:18:28Z
dc.date.available.none.fl_str_mv 2024-08-05T13:18:28Z
dc.date.issued.none.fl_str_mv 2024-08-02
dc.date.accepted.none.fl_str_mv 2024-08-05
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
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dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.en.fl_str_mv Attribution 4.0 International
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dc.format.extent.none.fl_str_mv 22 páginas
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dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Microbiología
dc.publisher.faculty.none.fl_str_mv Facultad de Ciencias
dc.publisher.department.spa.fl_str_mv Departamento de Ciencias Biológicas
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
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Immunoinformatic predictions suggested cross-reactivity between manatee IgA and anti-human polyclonal reagents due to the similarity of human and manatee IgA. The present study aimed to confirm this cross-reactivity with manatee IgA in milk samples. A dot blot assay verified the reagent's functionality and cross-reactivity with manatee samples. Immunoblotting identified the protein in manatee milk, followed by direct ELISA to optimize reagent dilutions. Cross-reactivity with a milk protein was observed in all three assays. Manatee proteins ranged from 39-46 kD, while human IgA used as a positive control weighed 61 kD. The 1:2000 reagent dilution showed the highest signal/noise ratio, indicating optimal concentration. Despite molecular weight differences preventing definitive confirmation of the identified protein as manatee IgA, partial validation of immunoinformatic predictions was achieved. 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