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Article: Challenges and emerging systems biology approaches to discover how the human gut microbiome impact host physiology

TitleChallenges and emerging systems biology approaches to discover how the human gut microbiome impact host physiology
Authors
KeywordsMetagenomic
Microbiome
Big data
Systems biology
Ecological modelling
Issue Date2020
PublisherSpringer (part of Springer Nature). The Journal's web site is located at https://www.springer.com/journal/12551
Citation
Biophysical Reviews, 2020, v. 12, p. 851-863 How to Cite?
AbstractResearch in the human gut microbiome has bloomed with advances in next generation sequencing (NGS) and other high-throughput molecular profiling technologies. This has enabled the generation of multi-omics datasets which holds promises for big data–enabled knowledge acquisition in the form of understanding the normal physiological and pathological involvement of gut microbiomes. Ample evidence suggests that distinct microbial compositions in the human gut are associated with different diseases. However, the biological mechanisms underlying these associations are often unclear. There is a need to move beyond statistical associations to discover how changes in the gut microbiota mechanistically affect host physiology and disease development. This review summarises state-of-the-art big data and systems biology approaches for mechanism discovery.
Persistent Identifierhttp://hdl.handle.net/10722/284001
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.145
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorQian, G-
dc.contributor.authorHo, JWK-
dc.date.accessioned2020-07-20T05:55:14Z-
dc.date.available2020-07-20T05:55:14Z-
dc.date.issued2020-
dc.identifier.citationBiophysical Reviews, 2020, v. 12, p. 851-863-
dc.identifier.issn1867-2450-
dc.identifier.urihttp://hdl.handle.net/10722/284001-
dc.description.abstractResearch in the human gut microbiome has bloomed with advances in next generation sequencing (NGS) and other high-throughput molecular profiling technologies. This has enabled the generation of multi-omics datasets which holds promises for big data–enabled knowledge acquisition in the form of understanding the normal physiological and pathological involvement of gut microbiomes. Ample evidence suggests that distinct microbial compositions in the human gut are associated with different diseases. However, the biological mechanisms underlying these associations are often unclear. There is a need to move beyond statistical associations to discover how changes in the gut microbiota mechanistically affect host physiology and disease development. This review summarises state-of-the-art big data and systems biology approaches for mechanism discovery.-
dc.languageeng-
dc.publisherSpringer (part of Springer Nature). The Journal's web site is located at https://www.springer.com/journal/12551-
dc.relation.ispartofBiophysical Reviews-
dc.subjectMetagenomic-
dc.subjectMicrobiome-
dc.subjectBig data-
dc.subjectSystems biology-
dc.subjectEcological modelling-
dc.titleChallenges and emerging systems biology approaches to discover how the human gut microbiome impact host physiology-
dc.typeArticle-
dc.identifier.emailHo, JWK: jwkho@hku.hk-
dc.identifier.authorityHo, JWK=rp02436-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1007/s12551-020-00724-2-
dc.identifier.pmid32638331-
dc.identifier.pmcidPMC7429608-
dc.identifier.scopuseid_2-s2.0-85087653705-
dc.identifier.hkuros311052-
dc.identifier.volume12-
dc.identifier.spage851-
dc.identifier.epage863-
dc.publisher.placeGermany-
dc.identifier.issnl1867-2450-

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