Publication
A new protocol for whole-brain biodistribution analysis of AAVs by tissue clearing, light-sheet microscopy and semi-automated spatial quantification
| dc.contributor.author | Lopes, Miguel M. | |
| dc.contributor.author | Paysan, Jacques | |
| dc.contributor.author | Rino, José | |
| dc.contributor.author | Lopes, Sara M. | |
| dc.contributor.author | Pereira de Almeida, Luís | |
| dc.contributor.author | Cortes, Luísa | |
| dc.contributor.author | Nobre, Rui Jorge | |
| dc.date.accessioned | 2022-12-16T16:03:39Z | |
| dc.date.available | 2022-12-16T16:03:39Z | |
| dc.date.issued | 2022 | |
| dc.description | © The Author(s), under exclusive licence to Springer Nature Limited 2022 | pt_PT |
| dc.description.abstract | Recombinant adeno-associated virus (rAAV) has become one of the most promising gene delivery systems for both in vitro and in vivo applications. However, a key challenge is the lack of suitable imaging technologies to evaluate delivery, biodistribution and tropism of rAAVs and efficiently monitor disease amelioration promoted by AAV-based therapies at a whole-organ level with single-cell resolution. Therefore, we aimed to establish a new pipeline for the biodistribution analysis of natural and new variants of AAVs at a whole-brain level by tissue clearing and light-sheet fluorescence microscopy (LSFM). To test this platform, neonatal C57BL/6 mice were intravenously injected with rAAV9 encoding EGFP and, after sacrifice, brains were processed by standard immunohistochemistry and a recently released aqueous-based clearing procedure. This clearing technique required no dedicated equipment and rendered highly cleared brains, while simultaneously preserving endogenous fluorescence. Moreover, three-dimensional imaging by LSFM allowed the quantitative analysis of EGFP at a whole-brain level, as well as the reconstruction of Purkinje cells for the retrieval of valuable morphological information inaccessible by standard immunohistochemistry. In conclusion, the pipeline herein described takes the AAVs to a new level when coupled to LSFM, proving its worth as a bioimaging tool in tropism and gene therapy studies. | pt_PT |
| dc.description.sponsorship | This work was funded by the ERDF through the Regional Operational Program Center 2020, Competitiveness Factors Operational Program (COMPETE 2020) and National Funds through FCT (Foundation for Science and Technology): Imagene (PTDC/BBB-NAN/0932/2014 | POCI-01-0145-FEDER-016807), MODELPOLYQ 2.O (CENTRO-01-0145-FEDER-181258), MJDEDIT (CENTRO-01-0145-FEDER-181266), BDFORMJD (CENTRO-01-0145-FEDER-181240), CENTRO-01-0246-FEDER-000010 (Multidisciplinary Institute of Ageing in Coimbra), BrainHealth2020 projects (CENTRO-01-0145-FEDER-000008), UID/NEU/04539/2019, UIDB/04539/2020, UIDP/04539/2020, LA/P/0058/2020, PPBI (POCI-01-0145-FEDER-022122), ViraVector (CENTRO-01-0145-FEDER-022095), CortaCAGs (PTDC/NEU-NMC/0084/2014 | POCI-01-0145-FEDER-016719), SpreadSilencing (POCI-01-0145-FEDER-029716), CancelStem (POCI-01-0145-FEDER-016390), POCI-01-0145-FEDER-030737, POCI-01-0145-FEDER-032309, as well as SynSpread, ESMI and ModelPolyQ under the EU Joint Program – Neurodegenerative Disease Research (JPND), the last two co-funded by the European Union H2020 program, GA No.643417; by National Ataxia Foundation (USA), the American Portuguese Biomedical Research Fund (APBRF) and the Richard Chin and Lily Lock Machado-Joseph Disease Research Fund. MML was supported by a PhD fellowship from FCT (2021.05776.BD). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Gene Ther. 2022 Dec;29(12):665-679 | pt_PT |
| dc.identifier.doi | 10.1038/s41434-022-00372-z | pt_PT |
| dc.identifier.eissn | 1476-5462 | |
| dc.identifier.issn | 0969-7128 | |
| dc.identifier.uri | http://hdl.handle.net/10451/55435 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Nature | pt_PT |
| dc.relation | POCI-01-0145-FEDER-016807 | pt_PT |
| dc.relation | Imaging Gene Therapy in the Brain | |
| dc.relation | CENTRO-01-0145-FEDER-181266 | pt_PT |
| dc.relation | CENTRO-01-0145-FEDER-181240 | pt_PT |
| dc.relation | CENTRO-01-0246-FEDER-000010 | pt_PT |
| dc.relation | CENTRO-01-0145-FEDER-000008 | pt_PT |
| dc.relation | CNC. IBILI | |
| dc.relation | Center for Innovative Biomedicine and Biotechnology | |
| dc.relation | Center for Innovative Biomedicine and Biotechnology | |
| dc.relation | CENTRO-01-0145-FEDER-022095 | pt_PT |
| dc.relation | POCI-01-0145-FEDER-016719 | pt_PT |
| dc.relation | POCI-01-0145-FEDER-029716 | pt_PT |
| dc.relation | POCI-01-0145-FEDER-016390 | pt_PT |
| dc.relation | POCI-01-0145-FEDER-030737 | pt_PT |
| dc.relation | POCI-01-0145-FEDER-032309 | pt_PT |
| dc.relation | ERA-NET for establishing synergies between the Joint Programming on Neurodegenerative Diseases Research and Horizon 2020 | |
| dc.relation | Enhanced AAV vector toolkit for the generation of novel animal models and therapeutic strategies for polyglutamine diseases | |
| dc.relation.publisherversion | https://www.nature.com/gt/ | pt_PT |
| dc.title | A new protocol for whole-brain biodistribution analysis of AAVs by tissue clearing, light-sheet microscopy and semi-automated spatial quantification | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Imaging Gene Therapy in the Brain | |
| oaire.awardTitle | CNC. IBILI | |
| oaire.awardTitle | Center for Innovative Biomedicine and Biotechnology | |
| oaire.awardTitle | Center for Innovative Biomedicine and Biotechnology | |
| oaire.awardTitle | ERA-NET for establishing synergies between the Joint Programming on Neurodegenerative Diseases Research and Horizon 2020 | |
| oaire.awardTitle | Enhanced AAV vector toolkit for the generation of novel animal models and therapeutic strategies for polyglutamine diseases | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBBB-NAN%2F0932%2F2014/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FNEU%2F04539%2F2019/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04539%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04539%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FNEU-NMC%2F0084%2F2014/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/643417/EU | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//2021.05776.BD/PT | |
| oaire.citation.endPage | 679 | pt_PT |
| oaire.citation.issue | 12 | pt_PT |
| oaire.citation.startPage | 665 | pt_PT |
| oaire.citation.title | Gene Therapy | pt_PT |
| oaire.citation.volume | 29 | pt_PT |
| oaire.fundingStream | 9471 - RIDTI | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 9471 - RIDTI | |
| oaire.fundingStream | H2020 | |
| person.familyName | Rino Henriques | |
| person.givenName | José Miguel | |
| person.identifier.ciencia-id | A117-FBDB-A27B | |
| person.identifier.orcid | 0000-0002-0637-4527 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | European Commission | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | article | pt_PT |
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