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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Authors: López-López, Nahikari, Gil-Campillo, Celia, Díez-Martínez, Roberto, Garmendia, Juncal
Format: article
Status:Published version
Publication Date:2021
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/261533
Online Access:http://hdl.handle.net/10261/261533
Access Level:Open access
Keyword:Haemophilus influenzae
Airway infection
Genome
Transcriptomes
Methylome
Proteome
Metabolome
Tn-seq
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spelling Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectivesLópez-López, NahikariGil-Campillo, CeliaDíez-Martínez, RobertoGarmendia, JuncalHaemophilus influenzaeAirway infectionGenomeTranscriptomesMethylomeProteomeMetabolomeTn-seqHaemophilus 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.N.L.-L. is funded by a PhD studentship from Regional Navarra Govern, Spain, reference 0011-1408-2017-000000. C.G.-C. is funded by a PhD studentship from Agencia Española de Investigación (AEI), Spain, reference PRE2019-088382. This work has been funded by grants from MINECO RTI2018-096369-B-I00, 875/2019 from SEPAR, and PC150-151–152 from Gobierno de Navarra to J.G. CIBER is an initiative from Instituto de Salud Carlos III (ISCIII), Madrid, Spain.ElsevierDiputación Foral de NavarraMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Sociedad Española de Neumología y Cirugía TorácicaInstituto de Salud Carlos IIIConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPublisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/261533reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI//PRE2019-088382info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096369-B-I00http://dx.doi.org/10.1016/j.csbj.2021.05.026Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2615332026-05-22T06:33:51Z
dc.title.none.fl_str_mv 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
spellingShingle Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
López-López, Nahikari
Haemophilus influenzae
Airway infection
Genome
Transcriptomes
Methylome
Proteome
Metabolome
Tn-seq
title_short 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_sort Learning from –omics strategies applied to uncover Haemophilus influenzae host-pathogen interactions: Current status and perspectives
dc.creator.none.fl_str_mv López-López, Nahikari
Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Juncal
author López-López, Nahikari
author_facet López-López, Nahikari
Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Juncal
author_role author
author2 Gil-Campillo, Celia
Díez-Martínez, Roberto
Garmendia, Juncal
author2_role author
author
author
dc.contributor.none.fl_str_mv Diputación Foral de Navarra
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Sociedad Española de Neumología y Cirugía Torácica
Instituto de Salud Carlos III
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Haemophilus influenzae
Airway infection
Genome
Transcriptomes
Methylome
Proteome
Metabolome
Tn-seq
topic Haemophilus influenzae
Airway infection
Genome
Transcriptomes
Methylome
Proteome
Metabolome
Tn-seq
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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_dcae04bc
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/261533
url http://hdl.handle.net/10261/261533
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI//PRE2019-088382
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096369-B-I00
http://dx.doi.org/10.1016/j.csbj.2021.05.026
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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