Exploring cell reprogramming techniques for Angelman Syndrome disease modelling

Bibliographic Details
Main Author: Joaquim, Mariana Isabel Lopes
Publication Date: 2017
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/42365
Summary: Angelman Syndrome (AS) is an imprinted neurodevelopmental disease with no cure caused by the lack of UBE3A expression, which, in neurons, is exclusively maternally expressed. The paternal UBE3A allele is silenced by the UBE3A antisense transcript (UBE3A-ATS), which is only expressed from the paternal chromosome. In AS mouse model, inhibition of the UBE3A-ATS transcription can reactivate paternal UBE3A. To translate such an approach to humans, the development of a cellular model for this disease is necessary. Here we sought to develop cellular model systems of AS from patient-derived fibroblasts and evaluate their imprinting status using RNA FISH-based single-cell approaches. First, a neural direct conversion protocol based on expression of two neuronal transcription factors - ASCL1, NGN2 – and SMAD pathway inhibitors was tried in order to convert fibroblasts into neurons. Despite high infection efficiency and detection of transgenic ASCL1 expression, the generated “iNs” did not show signs of neuronal identity based on RT-qPCR and IF analysis. This failure might have been caused by lack of lentiviruses concentration by ultracentrifugation, antibiotic selection skipping and/or dislodging of the cells under conversion. Second, we tried to generate NPCs from iPSCs using a commercially available differentiation protocol. Based on RT-qPCR and IF analysis, the generated “NPCs” failed to express the correct genetic markers. This failure might be explained by inappropriate accelerated division rate of the cells during induction or lack of pluripotency of the newly-generated iPSCs used. Despite unsuccessful generation of neuronal cells, we were able to optimize nascent-transcript RNA FISH, combining UBE3A and paternally expressed SNORD116, which is a crucial tool to confirm the imprinting status of the Angelman locus in newly-generated cells. With future efforts, the establishment of AS cellular model systems will serve as drug screening platform to test paternal UBE3A reactivation as a therapeutic target for AS.
id RCAP_97d9ce9ac0b47cd98db6023091933c89
oai_identifier_str oai:run.unl.pt:10362/42365
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Exploring cell reprogramming techniques for Angelman Syndrome disease modellingAngelman Syndromedisease modellingUBE3AUBE3A-ATSneural direct conversioniPSCs neural differentiationDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e TecnologiasAngelman Syndrome (AS) is an imprinted neurodevelopmental disease with no cure caused by the lack of UBE3A expression, which, in neurons, is exclusively maternally expressed. The paternal UBE3A allele is silenced by the UBE3A antisense transcript (UBE3A-ATS), which is only expressed from the paternal chromosome. In AS mouse model, inhibition of the UBE3A-ATS transcription can reactivate paternal UBE3A. To translate such an approach to humans, the development of a cellular model for this disease is necessary. Here we sought to develop cellular model systems of AS from patient-derived fibroblasts and evaluate their imprinting status using RNA FISH-based single-cell approaches. First, a neural direct conversion protocol based on expression of two neuronal transcription factors - ASCL1, NGN2 – and SMAD pathway inhibitors was tried in order to convert fibroblasts into neurons. Despite high infection efficiency and detection of transgenic ASCL1 expression, the generated “iNs” did not show signs of neuronal identity based on RT-qPCR and IF analysis. This failure might have been caused by lack of lentiviruses concentration by ultracentrifugation, antibiotic selection skipping and/or dislodging of the cells under conversion. Second, we tried to generate NPCs from iPSCs using a commercially available differentiation protocol. Based on RT-qPCR and IF analysis, the generated “NPCs” failed to express the correct genetic markers. This failure might be explained by inappropriate accelerated division rate of the cells during induction or lack of pluripotency of the newly-generated iPSCs used. Despite unsuccessful generation of neuronal cells, we were able to optimize nascent-transcript RNA FISH, combining UBE3A and paternally expressed SNORD116, which is a crucial tool to confirm the imprinting status of the Angelman locus in newly-generated cells. With future efforts, the establishment of AS cellular model systems will serve as drug screening platform to test paternal UBE3A reactivation as a therapeutic target for AS.Rocha, SimãoRUNJoaquim, Mariana Isabel Lopes2018-07-24T08:18:56Z2017-1020172017-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/42365enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:34:02Zoai:run.unl.pt:10362/42365Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:04:55.159382Repositórios 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 Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
title Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
spellingShingle Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
Joaquim, Mariana Isabel Lopes
Angelman Syndrome
disease modelling
UBE3A
UBE3A-ATS
neural direct conversion
iPSCs neural differentiation
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
title_short Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
title_full Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
title_fullStr Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
title_full_unstemmed Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
title_sort Exploring cell reprogramming techniques for Angelman Syndrome disease modelling
author Joaquim, Mariana Isabel Lopes
author_facet Joaquim, Mariana Isabel Lopes
author_role author
dc.contributor.none.fl_str_mv Rocha, Simão
RUN
dc.contributor.author.fl_str_mv Joaquim, Mariana Isabel Lopes
dc.subject.por.fl_str_mv Angelman Syndrome
disease modelling
UBE3A
UBE3A-ATS
neural direct conversion
iPSCs neural differentiation
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
topic Angelman Syndrome
disease modelling
UBE3A
UBE3A-ATS
neural direct conversion
iPSCs neural differentiation
Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
description Angelman Syndrome (AS) is an imprinted neurodevelopmental disease with no cure caused by the lack of UBE3A expression, which, in neurons, is exclusively maternally expressed. The paternal UBE3A allele is silenced by the UBE3A antisense transcript (UBE3A-ATS), which is only expressed from the paternal chromosome. In AS mouse model, inhibition of the UBE3A-ATS transcription can reactivate paternal UBE3A. To translate such an approach to humans, the development of a cellular model for this disease is necessary. Here we sought to develop cellular model systems of AS from patient-derived fibroblasts and evaluate their imprinting status using RNA FISH-based single-cell approaches. First, a neural direct conversion protocol based on expression of two neuronal transcription factors - ASCL1, NGN2 – and SMAD pathway inhibitors was tried in order to convert fibroblasts into neurons. Despite high infection efficiency and detection of transgenic ASCL1 expression, the generated “iNs” did not show signs of neuronal identity based on RT-qPCR and IF analysis. This failure might have been caused by lack of lentiviruses concentration by ultracentrifugation, antibiotic selection skipping and/or dislodging of the cells under conversion. Second, we tried to generate NPCs from iPSCs using a commercially available differentiation protocol. Based on RT-qPCR and IF analysis, the generated “NPCs” failed to express the correct genetic markers. This failure might be explained by inappropriate accelerated division rate of the cells during induction or lack of pluripotency of the newly-generated iPSCs used. Despite unsuccessful generation of neuronal cells, we were able to optimize nascent-transcript RNA FISH, combining UBE3A and paternally expressed SNORD116, which is a crucial tool to confirm the imprinting status of the Angelman locus in newly-generated cells. With future efforts, the establishment of AS cellular model systems will serve as drug screening platform to test paternal UBE3A reactivation as a therapeutic target for AS.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
2017
2017-10-01T00:00:00Z
2018-07-24T08:18:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/42365
url http://hdl.handle.net/10362/42365
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str 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
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596421899550720