Understanding the Adult Mammalian Heart at Single-Cell RNA-Seq Resolution.

Ernesto Marín-Sedeño, Xabier Martínez de Morentin, Jose M Pérez-Pomares, David Gómez-Cabrero, Adrián Ruiz-Villalba

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.
Original languageEnglish (US)
JournalFrontiers in Cell and Developmental Biology
StatePublished - May 12 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-11-21
Acknowledgements: This work was supported by funds from the Spanish Ministry of Science, Innovation and Universities (RTI2018-095410-BI00); University of Málaga (UMA18-FEDERJA-146), and Carlos III Institute of Health (RD16/0011/0030). EM-S was supported by funds from the Spanish Ministry of Science, Innovation and Universities FPU fellowship (FPU18/05219). AR-V was supported by funds from University of Málaga (Incorporación de doctores from the I Plan Propio de Incorporación de Doctores, 2020).


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