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Pinpointing cell identity in time and space

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dc.contributor.authorSavulescu, Anca F.
dc.contributor.authorJacobs, Caron
dc.contributor.authorNegishi, Yutaka
dc.contributor.authorDavignon, Laurianne
dc.contributor.authorMhlanga, Musa
dc.date.accessioned2021-02-12T16:37:27Z
dc.date.available2021-02-12T16:37:27Z
dc.date.issued2020
dc.descriptionCopyright © 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.pt_PT
dc.description.abstractMammalian 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFront Mol Biosci. 2020 Aug 14;7:209pt_PT
dc.identifier.doi10.3389/fmolb.2020.00209pt_PT
dc.identifier.eissn2296-889X
dc.identifier.urihttp://hdl.handle.net/10451/46301
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontierspt_PT
dc.relation.publisherversionhttps://www.frontiersin.org/journals/molecular-biosciencespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSpatiotemporal localizationpt_PT
dc.subjectCell subtype classificationpt_PT
dc.subjectSpatial transcriptomicspt_PT
dc.subjectMRNA subcellular localizationpt_PT
dc.subjectCell subtypept_PT
dc.titlePinpointing cell identity in time and spacept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage209pt_PT
oaire.citation.titleFrontiers in Molecular Biosciencespt_PT
oaire.citation.volume7pt_PT
person.familyNameMhlanga
person.givenNameMusa
person.identifier.orcid0000-0003-1381-3409
person.identifier.ridD-1283-2011
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8aa5f7f2-ad5d-4274-b6f0-a9e3684795c3
relation.isAuthorOfPublication.latestForDiscovery8aa5f7f2-ad5d-4274-b6f0-a9e3684795c3

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