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   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/91361">
      <dc:title>Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling</dc:title>
      <dc:creator>Robles Remacho, Agustín</dc:creator>
      <dc:creator>Sánchez Martín, Rosario María</dc:creator>
      <dc:creator>Díaz Mochón, Juan José</dc:creator>
      <dc:description>In this Perspective, we discuss the current status&#xd;
and advances in spatial transcriptomics technologies, which allow&#xd;
high-resolution mapping of gene expression in intact cell and tissue&#xd;
samples. Spatial transcriptomics enables the creation of highresolution&#xd;
maps of gene expression patterns within their native&#xd;
spatial context, adding an extra layer of information to the bulk&#xd;
sequencing data. Spatial transcriptomics has expanded significantly&#xd;
in recent years and is making a notable impact on a range of fields,&#xd;
including tissue architecture, developmental biology, cancer, and&#xd;
neurodegenerative and infectious diseases. The latest advancements&#xd;
in spatial transcriptomics have resulted in the development&#xd;
of highly multiplexed methods, transcriptomic-wide analysis, and single-cell resolution utilizing diverse technological approaches. In&#xd;
this Perspective, we provide a detailed analysis of the molecular foundations behind the main spatial transcriptomics technologies,&#xd;
including methods based on microdissection, in situ sequencing, single-molecule FISH, spatial capturing, selection of regions of&#xd;
interest, and single-cell or nuclei dissociation. We contextualize the detection and capturing efficiency, strengths, limitations, tissue&#xd;
compatibility, and applications of these techniques as well as provide information on data analysis. In addition, this Perspective&#xd;
discusses future directions and potential applications of spatial transcriptomics, highlighting the importance of the continued&#xd;
development to promote widespread adoption of these techniques within the research community.</dc:description>
      <dc:date>2024-05-03T09:37:42Z</dc:date>
      <dc:date>2024-05-03T09:37:42Z</dc:date>
      <dc:date>2023-10-10</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Agustín Robles-Remacho, Rosario M. Sanchez-Martin, and Juan J. Diaz-Mochon Analytical Chemistry 2023 95 (42), 15450-15460 DOI: 10.1021/acs.analchem.3c02029</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/91361</dc:identifier>
      <dc:identifier>10.1021/acs.analchem.3c02029</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>info:eu-repo/grantAgreement/EC/H2020/MSCA-RISE-101007934</dc:relation>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>American Chemical Society</dc:publisher>
   </ow:Publication>
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