<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-29T07:35:38Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/18341" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/18341</identifier><datestamp>2024-11-28T15:30:13Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16927</setSpec><setSpec>col_20.500.12105_16968</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-18341" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/18341">
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Marín-Sedeño, Ernesto</mods:namePart>
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                  <mods:namePart>de Morentin, Xabier Martínez</mods:namePart>
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                  <mods:namePart>Pérez-Pomares, Jose M.</mods:namePart>
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                  <mods:namePart>Gómez-Cabrero, David</mods:namePart>
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                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Ruiz-Villalba, Adrián</mods:namePart>
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                  <mods:namePart>[Marín-Sedeño,E; Pérez-Pomares,JM; Ruiz-Villalba,A] Department of Animal Biology, Faculty of Sciences, Instituto Malagueño de Biomedicina, University of Málaga, Málaga, Spain. [Marín-Sedeño,E; Pérez-Pomares,JM; Ruiz-Villalba,A] BIONAND, Centro Andaluz de Nanomedicina y Biotecnología, Junta de Andalucía, Universidad de Málaga, Málaga, Spain. [de Morentin,XM; Gómez-Cabrero,D] Traslational Bioinformatics Unit, Navarrabiomed, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Universidad Pública de Navarra, Pamplona, Spain. [Gómez-Cabrero,D] Centre of Host-Microbiome Interactions, Faculty of Dentistry, Oral &amp; Craniofacial Sciences, King’s College London, London, United Kingdom. [Gómez-Cabrero,D] Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-02-19T15:28:16Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2021-05-12</mods:dateIssued>
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               <mods:identifier type="other">http://hdl.handle.net/10668/4555</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/18341</mods:identifier>
               <mods:identifier type="pubmedID">34055776</mods:identifier>
               <mods:identifier type="doi">10.3389/fcell.2021.645276</mods:identifier>
               <mods:identifier type="e-issn">2296-634X</mods:identifier>
               <mods:identifier type="journal">Frontiers in Cell and Developmental Biology</mods:identifier>
               <mods:abstract>During the last decade, extensive efforts have been made to comprehend cardiac cell genetic and functional diversity. Such knowledge allows for the definition of the cardiac cellular interactome as a reasonable strategy to increase our understanding of the normal and pathologic heart. Previous experimental approaches including cell lineage tracing, flow cytometry, and bulk RNA-Seq have often tackled the analysis of cardiac cell diversity as based on the assumption that cell types can be identified by the expression of a single gene. More recently, however, the emergence of single-cell RNA-Seq technology has led us to explore the diversity of individual cells, enabling the cardiovascular research community to redefine cardiac cell subpopulations and identify relevant ones, and even novel cell types, through their cell-specific transcriptomic signatures in an unbiased manner. These findings are changing our understanding of cell composition and in consequence the identification of potential therapeutic targets for different cardiac diseases. In this review, we provide an overview of the continuously changing cardiac cellular landscape, traveling from the pre-single-cell RNA-Seq times to the single cell-RNA-Seq revolution, and discuss the utilities and limitations of this technology.</mods:abstract>
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               <mods:subject>
                  <mods:topic>Single-cell RNAseq</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Heart</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Infarction</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Cardiac cell heterogeneity</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Transcriptomics</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Análisis de la célula individual</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Corazón</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Infarto</mods:topic>
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               <mods:subject>
                  <mods:topic>Miocitos cardíacos</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Análisis de secuencia de ARN</mods:topic>
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                  <mods:title>Understanding the Adult Mammalian Heart at Single-Cell RNA-Seq Resolution</mods:title>
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