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Placing RNA in context and space - methods for spatially resolved transcriptomics
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för biokemi och biofysik. Stockholms universitet, Science for Life Laboratory (SciLifeLab).
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för biokemi och biofysik. Stockholms universitet, Science for Life Laboratory (SciLifeLab).ORCID-id: 0000-0001-7782-0830
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för biokemi och biofysik. Stockholms universitet, Science for Life Laboratory (SciLifeLab).
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för biokemi och biofysik. Stockholms universitet, Science for Life Laboratory (SciLifeLab).
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Rekke forfattare: 72019 (engelsk)Inngår i: The FEBS Journal, ISSN 1742-464X, E-ISSN 1742-4658, Vol. 286, nr 8, s. 1468-1481Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

Single-cell transcriptomics provides us with completely new insights into the molecular diversity of different cell types and the different states they can adopt. The technique generates inventories of cells that constitute the building blocks of multicellular organisms. However, since the method requires isolation of discrete cells, information about the original location within tissue is lost. Therefore, it is not possible to draw detailed cellular maps of tissue architecture and their positioning in relation to other cells. In order to better understand the cellular and tissue function of multicellular organisms, we need to map the cells within their physiological, morphological, and anatomical context and space. In this review, we will summarize and compare the different methods of in situ RNA analysis and the most recent developments leading to more comprehensive and highly multiplexed spatially resolved transcriptomic approaches. We will discuss their highlights and advantages as well as their limitations and challenges and give an outlook on promising future applications and directions both within basic research as well as clinical integration.

sted, utgiver, år, opplag, sider
2019. Vol. 286, nr 8, s. 1468-1481
Emneord [en]
cell profiling, gene expression maps, in situ sequencing, spatial transcriptomics, spatially resolved transcriptomics, tissue heterogeneity, tissue maps
HSV kategori
Identifikatorer
URN: urn:nbn:se:su:diva-169062DOI: 10.1111/febs.14435ISI: 000466783900004PubMedID: 29542254OAI: oai:DiVA.org:su-169062DiVA, id: diva2:1318312
Tilgjengelig fra: 2019-05-27 Laget: 2019-05-27 Sist oppdatert: 2019-05-27bibliografisk kontrollert

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Strell, CarinaHilscher, Markus M.Yokota, ChikaNilsson, Mats
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