Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production

Detalhes bibliográficos
Autor(a) principal: Silvano, Marco
Data de Publicação: 2023
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/153332
Resumo: "The use of the Insect Cell - Baculovirus Expression Vector System (IC-BEVS) as alternative to other cell-based expression systems has increased thanks to its continued development, both as research tool and manufacturing platform. However, titers achieved are occasionally low, thus bioprocess engineering is critical to improve process performance. The comprehensive knowledge of the host cell transcriptome, mainly during infection phase, can provide clues about which molecular signatures are correlated with highly producing cells, ultimately aiding the development of rational cell line optimization strategies. In this thesis, a thorough transcriptome analysis and characterization of the IC-BEVS system was done to decipher key biological mechanisms of insect High Five cells during influenza virus-like particles (VLPs) production, highlighting the physiological determinants that contribute to increased productivity."
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spelling Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs productionIC-BEVSGene ExpressionTranscriptomeVLP productionVirusInfluenza VirusDomínio/Área Científica::Ciências Naturais"The use of the Insect Cell - Baculovirus Expression Vector System (IC-BEVS) as alternative to other cell-based expression systems has increased thanks to its continued development, both as research tool and manufacturing platform. However, titers achieved are occasionally low, thus bioprocess engineering is critical to improve process performance. The comprehensive knowledge of the host cell transcriptome, mainly during infection phase, can provide clues about which molecular signatures are correlated with highly producing cells, ultimately aiding the development of rational cell line optimization strategies. In this thesis, a thorough transcriptome analysis and characterization of the IC-BEVS system was done to decipher key biological mechanisms of insect High Five cells during influenza virus-like particles (VLPs) production, highlighting the physiological determinants that contribute to increased productivity."Associate Laboratory LS4FUTURE LA/P/0087/2020Alves, PaulaRoldão, AntónioRUNSilvano, Marco2023-04-182023-042026-03-31T00:00:00Z2023-04-18T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10362/153332TID:101739818enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T18:11:46Zoai:run.unl.pt:10362/153332Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:11:46Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
title Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
spellingShingle Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
Silvano, Marco
IC-BEVS
Gene Expression
Transcriptome
VLP production
Virus
Influenza Virus
Domínio/Área Científica::Ciências Naturais
title_short Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
title_full Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
title_fullStr Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
title_full_unstemmed Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
title_sort Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
author Silvano, Marco
author_facet Silvano, Marco
author_role author
dc.contributor.none.fl_str_mv Alves, Paula
Roldão, António
RUN
dc.contributor.author.fl_str_mv Silvano, Marco
dc.subject.por.fl_str_mv IC-BEVS
Gene Expression
Transcriptome
VLP production
Virus
Influenza Virus
Domínio/Área Científica::Ciências Naturais
topic IC-BEVS
Gene Expression
Transcriptome
VLP production
Virus
Influenza Virus
Domínio/Área Científica::Ciências Naturais
description "The use of the Insect Cell - Baculovirus Expression Vector System (IC-BEVS) as alternative to other cell-based expression systems has increased thanks to its continued development, both as research tool and manufacturing platform. However, titers achieved are occasionally low, thus bioprocess engineering is critical to improve process performance. The comprehensive knowledge of the host cell transcriptome, mainly during infection phase, can provide clues about which molecular signatures are correlated with highly producing cells, ultimately aiding the development of rational cell line optimization strategies. In this thesis, a thorough transcriptome analysis and characterization of the IC-BEVS system was done to decipher key biological mechanisms of insect High Five cells during influenza virus-like particles (VLPs) production, highlighting the physiological determinants that contribute to increased productivity."
publishDate 2023
dc.date.none.fl_str_mv 2023-04-18
2023-04
2023-04-18T00:00:00Z
2026-03-31T00:00:00Z
dc.type.driver.fl_str_mv doctoral thesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/153332
TID:101739818
url http://hdl.handle.net/10362/153332
identifier_str_mv TID:101739818
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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