Pinpointing cell identity in time and space
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/46301 |
Resumo: | Copyright © 2020 Savulescu, Jacobs, Negishi, Davignon and Mhlanga. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Pinpointing cell identity in time and spaceSpatiotemporal localizationCell subtype classificationSpatial transcriptomicsMRNA subcellular localizationCell subtypeCopyright © 2020 Savulescu, Jacobs, Negishi, Davignon and Mhlanga. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Mammalian cells display a broad spectrum of phenotypes, morphologies, and functional niches within biological systems. Our understanding of mechanisms at the individual cellular level, and how cells function in concert to form tissues, organs and systems, has been greatly facilitated by centuries of extensive work to classify and characterize cell types. Classic histological approaches are now complemented with advanced single-cell sequencing and spatial transcriptomics for cell identity studies. Emerging data suggests that additional levels of information should be considered, including the subcellular spatial distribution of molecules such as RNA and protein, when classifying cells. In this Perspective piece we describe the importance of integrating cell transcriptional state with tissue and subcellular spatial and temporal information for thorough characterization of cell type and state. We refer to recent studies making use of single cell RNA-seq and/or image-based cell characterization, which highlight a need for such in-depth characterization of cell populations. We also describe the advances required in experimental, imaging and analytical methods to address these questions. This Perspective concludes by framing this argument in the context of projects such as the Human Cell Atlas, and related fields of cancer research and developmental biology.FrontiersRepositório da Universidade de LisboaSavulescu, Anca F.Jacobs, CaronNegishi, YutakaDavignon, LaurianneMhlanga, Musa2021-02-12T16:37:27Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/46301engFront Mol Biosci. 2020 Aug 14;7:20910.3389/fmolb.2020.002092296-889Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:48:33Zoai:repositorio.ul.pt:10451/46301Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:58:32.176698Repositório 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 |
Pinpointing cell identity in time and space |
title |
Pinpointing cell identity in time and space |
spellingShingle |
Pinpointing cell identity in time and space Savulescu, Anca F. Spatiotemporal localization Cell subtype classification Spatial transcriptomics MRNA subcellular localization Cell subtype |
title_short |
Pinpointing cell identity in time and space |
title_full |
Pinpointing cell identity in time and space |
title_fullStr |
Pinpointing cell identity in time and space |
title_full_unstemmed |
Pinpointing cell identity in time and space |
title_sort |
Pinpointing cell identity in time and space |
author |
Savulescu, Anca F. |
author_facet |
Savulescu, Anca F. Jacobs, Caron Negishi, Yutaka Davignon, Laurianne Mhlanga, Musa |
author_role |
author |
author2 |
Jacobs, Caron Negishi, Yutaka Davignon, Laurianne Mhlanga, Musa |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Savulescu, Anca F. Jacobs, Caron Negishi, Yutaka Davignon, Laurianne Mhlanga, Musa |
dc.subject.por.fl_str_mv |
Spatiotemporal localization Cell subtype classification Spatial transcriptomics MRNA subcellular localization Cell subtype |
topic |
Spatiotemporal localization Cell subtype classification Spatial transcriptomics MRNA subcellular localization Cell subtype |
description |
Copyright © 2020 Savulescu, Jacobs, Negishi, Davignon and Mhlanga. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2021-02-12T16:37:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/46301 |
url |
http://hdl.handle.net/10451/46301 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Front Mol Biosci. 2020 Aug 14;7:209 10.3389/fmolb.2020.00209 2296-889X |
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.publisher.none.fl_str_mv |
Frontiers |
publisher.none.fl_str_mv |
Frontiers |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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