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A phenotypic screening bioassay for Escherichia coli stress and antibiotic responses based on Fourier‐transform infrared (FTIR) spectroscopy and multivariate analysis

dc.contributor.authorRibeiro Da Cunha, Bernardo
dc.contributor.authorFonseca, Luís P. P.
dc.contributor.authorCalado, Cecília
dc.date.accessioned2019-11-26T14:29:24Z
dc.date.available2019-11-26T14:29:24Z
dc.date.issued2019-12
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2017 do Instituto Politécnico de Lisboa. Código de referência IPL/2017/DrugsPlatf/ISEL
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2018 do Instituto Politécnico de Lisboa. Código de referência IPL/2018/RENALPROG_ISEL
dc.description.abstractAims: To develop and optimize a Fourier-transform infrared spectroscopy (FTIRS) phenotypic screening bioassay for stress responses, regarding the effect of nutrient content, bacterial growth phase and stress agent exposure time. Methods and Results: A high-throughput FTIRS bioassay was developed to distinguish the stress responses of Escherichia coli to sodium hydroxide, hydrochloric acid, sodium chloride, sodium hypochlorite and ethanol. Principal component analysis and hierarchical clustering were used to quantify the effect of each parameter on bioassay performance, namely its reproducibility and metabolic resolution. Bioassay performance varied greatly, ranging from poor to very good. Spectra were partitioned into biologically relevant regions to evaluate their contributions to bioassay performance, but further improvements were not observed. Bioassay optimization was validated against empirical parameters, which confirmed a closer representation of known mechanisms on the antibiotic-induced stress responses. Conclusions: The optimized bioassay used standard nutrient content, cells in the late-stationary growth phase and a one-shift exposure duration. Only the optimized bioassay adequately and reproducibly distinguished the E. coli stress and antibiotic responses. The absence of performance improvements using partitioned spectra indicated that stress responses are imprinted on the wholespectra metabolic signature. Significance and Impact of the Study: Highly optimized FTIRS bioassay parameters are vital in capturing whole-spectra metabolic signatures that can be used for satisfactory and reproducible phenotypic screening of stress and antibiotic responses.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCUNHA, Bernardo Ribeiro; FONSECA, Luís P.; CALADO, Cecília R. C. – A phenotypic screening bioassay for Escherichia coli stress and antibiotic responses based on Fourier‐transform infrared (FTIR) spectroscopy and multivariate analysis. Journal of Applied Microbiology. ISSN 1365-2672. Vol. 127, N.º 6 (2019), pp. 1776-1789pt_PT
dc.identifier.doi10.1111/jam.14429pt_PT
dc.identifier.issn1364-5072
dc.identifier.urihttp://hdl.handle.net/10400.21/10747
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherThe Society for Applied Microbiologypt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2017/DrugsPlatf/ISELpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2018/RENALPROG_ISELpt_PT
dc.relation.publisherversionhttps://sfamjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/jam.14429pt_PT
dc.subjectAntibioticspt_PT
dc.subjectEscherichia colipt_PT
dc.subjectFourier-transform infrared spectroscopypt_PT
dc.subjectMetabolismpt_PT
dc.subjectOptimizationpt_PT
dc.subjectStress responsept_PT
dc.titleA phenotypic screening bioassay for Escherichia coli stress and antibiotic responses based on Fourier‐transform infrared (FTIR) spectroscopy and multivariate analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1789pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1776pt_PT
oaire.citation.titleJournal of Applied Microbiologypt_PT
oaire.citation.volume127pt_PT
person.familyNameRibeiro da Cunha
person.familyNameP. Fonseca
person.familyNameCalado
person.givenNameBernardo
person.givenNameLuis
person.givenNameCecília
person.identifier130332
person.identifier.ciencia-idEA1E-4BEA-A01E
person.identifier.ciencia-id951D-DF38-3397
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-0303-9416
person.identifier.orcid0000-0001-8429-6977
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridP-6154-2017
person.identifier.ridA-4228-2013
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57211629814
person.identifier.scopus-author-id55916288400
person.identifier.scopus-author-id6603163260
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication810fc4c7-6c05-44a0-81e5-6cfdb3c2088a
relation.isAuthorOfPublication5c533551-5113-4c0a-93f1-9c50cbd796bc
relation.isAuthorOfPublicatione8577257-c64c-4481-9b2b-940fedb360cc
relation.isAuthorOfPublication.latestForDiscovery5c533551-5113-4c0a-93f1-9c50cbd796bc

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