Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration

Recent advances in spatially resolved transcriptomics have greatly expanded the knowledge of complex multicellular biological systems. The field has quickly expanded in recent years, and several new technologies have been developed that all aim to combine gene expression data with spatial informatio...

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Bibliographic Details
Published in:BioEssays Vol. 42; no. 10; pp. e1900221 - n/a
Main Authors: Asp, Michaela, Bergenstråhle, Joseph, Lundeberg, Joakim
Format: Journal Article
Language:English
Published: United States Wiley Subscription Services, Inc 01.10.2020
Subjects:
Gene expression
labor
New technology
RNA
RNA‐sequencing
single cells
Spatial data
spatial omics
spatial transcriptomics
spatially resolved transcriptomics
tissue heterogeneity
transcriptomics
RNA-sequencing
tissue heterogeneity
RNA
spatial transcriptomics
single cells
spatially resolved transcriptomics
spatial omics
gene expression
ISSN:0265-9247, 1521-1878, 1521-1878
Online Access:Get full text
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Summary:Recent advances in spatially resolved transcriptomics have greatly expanded the knowledge of complex multicellular biological systems. The field has quickly expanded in recent years, and several new technologies have been developed that all aim to combine gene expression data with spatial information. The vast array of methodologies displays fundamental differences in their approach to obtain this information, and thus, demonstrate method‐specific advantages and shortcomings. While the field is moving forward at a rapid pace, there are still multiple challenges presented to be addressed, including sensitivity, labor extensiveness, tissue‐type dependence, and limited capacity to obtain detailed single‐cell information. No single method can currently address all these key parameters. In this review, available spatial transcriptomics methods are described and their applications as well as their strengths and weaknesses are discussed. Future developments are explored and where the field is heading to is deliberated upon. In this review, current spatial transcriptomics methods are surveyed. These methods detect RNA molecules while retaining information of where the molecules are located in the tissue. The advantages and drawbacks of existing methods are discussed.
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ISSN:0265-9247
1521-1878
1521-1878
DOI:10.1002/bies.201900221