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‘Multi-omics’ data integration: applications in probiotics studies

The concept of probiotics is witnessing increasing attention due to its benefits in influencing the host microbiome and the modulation of host immunity through the strengthening of the gut barrier and stimulation of antibodies. These benefits, combined with the need for improved nutraceuticals, have...

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Autores principales: Kwoji, Iliya Dauda, Aiyegoro, Olayinka Ayobami, Okpeku, Moses, Adeleke, Matthew Adekunle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241933/
https://www.ncbi.nlm.nih.gov/pubmed/37277356
http://dx.doi.org/10.1038/s41538-023-00199-x
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author Kwoji, Iliya Dauda
Aiyegoro, Olayinka Ayobami
Okpeku, Moses
Adeleke, Matthew Adekunle
author_facet Kwoji, Iliya Dauda
Aiyegoro, Olayinka Ayobami
Okpeku, Moses
Adeleke, Matthew Adekunle
author_sort Kwoji, Iliya Dauda
collection PubMed
description The concept of probiotics is witnessing increasing attention due to its benefits in influencing the host microbiome and the modulation of host immunity through the strengthening of the gut barrier and stimulation of antibodies. These benefits, combined with the need for improved nutraceuticals, have resulted in the extensive characterization of probiotics leading to an outburst of data generated using several ‘omics’ technologies. The recent development in system biology approaches to microbial science is paving the way for integrating data generated from different omics techniques for understanding the flow of molecular information from one ‘omics’ level to the other with clear information on regulatory features and phenotypes. The limitations and tendencies of a ‘single omics’ application to ignore the influence of other molecular processes justify the need for ‘multi-omics’ application in probiotics selections and understanding its action on the host. Different omics techniques, including genomics, transcriptomics, proteomics, metabolomics and lipidomics, used for studying probiotics and their influence on the host and the microbiome are discussed in this review. Furthermore, the rationale for ‘multi-omics’ and multi-omics data integration platforms supporting probiotics and microbiome analyses was also elucidated. This review showed that multi-omics application is useful in selecting probiotics and understanding their functions on the host microbiome. Hence, recommend a multi-omics approach for holistically understanding probiotics and the microbiome.
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spelling pubmed-102419332023-06-07 ‘Multi-omics’ data integration: applications in probiotics studies Kwoji, Iliya Dauda Aiyegoro, Olayinka Ayobami Okpeku, Moses Adeleke, Matthew Adekunle NPJ Sci Food Review Article The concept of probiotics is witnessing increasing attention due to its benefits in influencing the host microbiome and the modulation of host immunity through the strengthening of the gut barrier and stimulation of antibodies. These benefits, combined with the need for improved nutraceuticals, have resulted in the extensive characterization of probiotics leading to an outburst of data generated using several ‘omics’ technologies. The recent development in system biology approaches to microbial science is paving the way for integrating data generated from different omics techniques for understanding the flow of molecular information from one ‘omics’ level to the other with clear information on regulatory features and phenotypes. The limitations and tendencies of a ‘single omics’ application to ignore the influence of other molecular processes justify the need for ‘multi-omics’ application in probiotics selections and understanding its action on the host. Different omics techniques, including genomics, transcriptomics, proteomics, metabolomics and lipidomics, used for studying probiotics and their influence on the host and the microbiome are discussed in this review. Furthermore, the rationale for ‘multi-omics’ and multi-omics data integration platforms supporting probiotics and microbiome analyses was also elucidated. This review showed that multi-omics application is useful in selecting probiotics and understanding their functions on the host microbiome. Hence, recommend a multi-omics approach for holistically understanding probiotics and the microbiome. Nature Publishing Group UK 2023-06-05 /pmc/articles/PMC10241933/ /pubmed/37277356 http://dx.doi.org/10.1038/s41538-023-00199-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Kwoji, Iliya Dauda
Aiyegoro, Olayinka Ayobami
Okpeku, Moses
Adeleke, Matthew Adekunle
‘Multi-omics’ data integration: applications in probiotics studies
title ‘Multi-omics’ data integration: applications in probiotics studies
title_full ‘Multi-omics’ data integration: applications in probiotics studies
title_fullStr ‘Multi-omics’ data integration: applications in probiotics studies
title_full_unstemmed ‘Multi-omics’ data integration: applications in probiotics studies
title_short ‘Multi-omics’ data integration: applications in probiotics studies
title_sort ‘multi-omics’ data integration: applications in probiotics studies
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241933/
https://www.ncbi.nlm.nih.gov/pubmed/37277356
http://dx.doi.org/10.1038/s41538-023-00199-x
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