Placing RNA in context and space - methods for spatially resolved transcriptomics.


Journal

The FEBS journal
ISSN: 1742-4658
Titre abrégé: FEBS J
Pays: England
ID NLM: 101229646

Informations de publication

Date de publication:
04 2019
Historique:
received: 16 11 2017
revised: 26 01 2018
accepted: 08 03 2018
pubmed: 16 3 2018
medline: 24 4 2020
entrez: 16 3 2018
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 29542254
doi: 10.1111/febs.14435
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1468-1481

Informations de copyright

© 2018 Federation of European Biochemical Societies.

Auteurs

Carina Strell (C)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Markus M Hilscher (MM)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Navya Laxman (N)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Jessica Svedlund (J)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Chenglin Wu (C)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Chika Yokota (C)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

Mats Nilsson (M)

Science for Life Laboratory, Department of Biophysics and biochemistry, Stockholm University, Solna, Sweden.

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Classifications MeSH