@misc{10481/91361,
year = {2023},
month = {10},
url = {https://hdl.handle.net/10481/91361},
abstract = {In this Perspective, we discuss the current status
and advances in spatial transcriptomics technologies, which allow
high-resolution mapping of gene expression in intact cell and tissue
samples. Spatial transcriptomics enables the creation of highresolution
maps of gene expression patterns within their native
spatial context, adding an extra layer of information to the bulk
sequencing data. Spatial transcriptomics has expanded significantly
in recent years and is making a notable impact on a range of fields,
including tissue architecture, developmental biology, cancer, and
neurodegenerative and infectious diseases. The latest advancements
in spatial transcriptomics have resulted in the development
of highly multiplexed methods, transcriptomic-wide analysis, and single-cell resolution utilizing diverse technological approaches. In
this Perspective, we provide a detailed analysis of the molecular foundations behind the main spatial transcriptomics technologies,
including methods based on microdissection, in situ sequencing, single-molecule FISH, spatial capturing, selection of regions of
interest, and single-cell or nuclei dissociation. We contextualize the detection and capturing efficiency, strengths, limitations, tissue
compatibility, and applications of these techniques as well as provide information on data analysis. In addition, this Perspective
discusses future directions and potential applications of spatial transcriptomics, highlighting the importance of the continued
development to promote widespread adoption of these techniques within the research community.},
organization = {Spanish
Ministry of Economy and Competitiveness (Grant Number
PID2019.110987RB.I00)},
organization = {European Union’s Horizon
2020 research and innovation program under the Marie
Skłodowska-Curie actions (MSCA-RISE-101007934, diaRNAgnosis)},
publisher = {American Chemical Society},
title = {Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling},
doi = {10.1021/acs.analchem.3c02029},
author = {Robles Remacho, Agustín and Sánchez Martín, Rosario María and Díaz Mochón, Juan José},
}