Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
Autor(a) principal: | |
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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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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 |
_version_ |
1817545935733915648 |