Single-cell RNA sequencing for deciphering key biological mechanisms of insect cells during influenza HA-VLPs production
Main Author: | |
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Publication Date: | 2023 |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/153332 |
Summary: | "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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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:11:46Zoai:run.unl.pt:10362/153332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:42:13.909685Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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 |
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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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