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Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives

Haemophilus influenzae has contributed to key bacterial genome sequencing hallmarks, as being not only the first bacterium to be genome-sequenced, but also starring the first genome-wide analysis of chromosomes directly transformed with DNA from a divergent genotype, and pioneering Tn-seq methodolog...

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Autores principales: López-López, Nahikari, Gil-Campillo, Celia, Díez-Martínez, Roberto, Garmendia, Junkal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178019/
https://www.ncbi.nlm.nih.gov/pubmed/34136102
http://dx.doi.org/10.1016/j.csbj.2021.05.026
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author López-López, Nahikari
Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Junkal
author_facet López-López, Nahikari
Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Junkal
author_sort López-López, Nahikari
collection PubMed
description Haemophilus influenzae has contributed to key bacterial genome sequencing hallmarks, as being not only the first bacterium to be genome-sequenced, but also starring the first genome-wide analysis of chromosomes directly transformed with DNA from a divergent genotype, and pioneering Tn-seq methodologies. Over the years, the phenomenal and constantly evolving development of –omic technologies applied to a whole range of biological questions of clinical relevance in the H. influenzae-host interplay, has greatly moved forward our understanding of this human-adapted pathogen, responsible for multiple acute and chronic infections of the respiratory tract. In this way, essential genes, virulence factors, pathoadaptive traits, and multi-layer gene expression regulatory networks with both genomic and epigenomic complexity levels are being elucidated. Likewise, the unstoppable increasing whole genome sequencing information underpinning H. influenzae great genomic plasticity, mainly when referring to non-capsulated strains, poses major challenges to understand the genomic basis of clinically relevant phenotypes and even more, to clearly highlight potential targets of clinical interest for diagnostic, therapeutic or vaccine development. We review here how genomic, transcriptomic, proteomic and metabolomic-based approaches are great contributors to our current understanding of the interactions between H. influenzae and the human airways, and point possible strategies to maximize their usefulness in the context of biomedical research and clinical needs on this human-adapted bacterial pathogen.
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spelling pubmed-81780192021-06-15 Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives López-López, Nahikari Gil-Campillo, Celia Díez-Martínez, Roberto Garmendia, Junkal Comput Struct Biotechnol J Review Article Haemophilus influenzae has contributed to key bacterial genome sequencing hallmarks, as being not only the first bacterium to be genome-sequenced, but also starring the first genome-wide analysis of chromosomes directly transformed with DNA from a divergent genotype, and pioneering Tn-seq methodologies. Over the years, the phenomenal and constantly evolving development of –omic technologies applied to a whole range of biological questions of clinical relevance in the H. influenzae-host interplay, has greatly moved forward our understanding of this human-adapted pathogen, responsible for multiple acute and chronic infections of the respiratory tract. In this way, essential genes, virulence factors, pathoadaptive traits, and multi-layer gene expression regulatory networks with both genomic and epigenomic complexity levels are being elucidated. Likewise, the unstoppable increasing whole genome sequencing information underpinning H. influenzae great genomic plasticity, mainly when referring to non-capsulated strains, poses major challenges to understand the genomic basis of clinically relevant phenotypes and even more, to clearly highlight potential targets of clinical interest for diagnostic, therapeutic or vaccine development. We review here how genomic, transcriptomic, proteomic and metabolomic-based approaches are great contributors to our current understanding of the interactions between H. influenzae and the human airways, and point possible strategies to maximize their usefulness in the context of biomedical research and clinical needs on this human-adapted bacterial pathogen. Research Network of Computational and Structural Biotechnology 2021-05-15 /pmc/articles/PMC8178019/ /pubmed/34136102 http://dx.doi.org/10.1016/j.csbj.2021.05.026 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Article
López-López, Nahikari
Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Junkal
Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title_full Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title_fullStr Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title_full_unstemmed Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title_short Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
title_sort learning from –omics strategies applied to uncover haemophilus influenzae host-pathogen interactions: current status and perspectives
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178019/
https://www.ncbi.nlm.nih.gov/pubmed/34136102
http://dx.doi.org/10.1016/j.csbj.2021.05.026
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