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

被引:12
|
作者
Marin-Sedeno, Ernesto [1 ,2 ]
Martinez de Morentin, Xabier [3 ]
Perez-Pomares, Jose M. [1 ,2 ]
Gomez-Cabrero, David [3 ,4 ,5 ]
Ruiz-Villalba, Adrian [1 ,2 ]
机构
[1] Univ Malaga, Fac Sci, Inst Malagueno Biomed, Dept Anim Biol, Malaga, Spain
[2] Univ Malaga, Ctr Andaluz Nanomed & Biotecnol, Junta Andalucia, BIONAND, Malaga, Spain
[3] Univ Publ Navarra, Complejo Hosp Navarra, Inst Invest Sanitaria Navarra IdiSNA, Traslat Bioinformat Unit, Pamplona, Spain
[4] Kings Coll London, Fac Dent Oral & Craniofacial Sci, Ctr Host Microbiome Interact, London, England
[5] King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia
关键词
single-cell RNAseq; heart; infarction; cardiac cell heterogeneity; transcriptomics; RESIDENT CARDIAC MACROPHAGES; SMOOTH-MUSCLE-CELLS; MYOCARDIAL-INFARCTION; ENDOTHELIAL-CELLS; DENDRITIC CELLS; T-CELLS; PHENOTYPIC HETEROGENEITY; SEQUENCING ANALYSIS; CORONARY-ARTERIES; CONDUCTION SYSTEM;
D O I
10.3389/fcell.2021.645276
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Single-cell RNA-Seq and bulk RNA-Seq reveal reliable diagnostic and prognostic biomarkers for CRC
    Xing Zhang
    Longkun Yang
    Ying Deng
    Zhicong Huang
    Hao Huang
    Yuying Wu
    Baochang He
    Fulan Hu
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 9805 - 9821
  • [42] Integrated Single-cell RNA-seq and Bulk RNA-seq Identify Diagnostic Biomarkers for Postmenopausal Osteoporosis
    Wang, Hanyu
    Peng, Chong
    Hu, Guangbing
    Chen, Wenhao
    Hu, Yong
    Pi, Honglin
    CURRENT MEDICINAL CHEMISTRY, 2024,
  • [43] Yeast Single-cell RNA-seq, Cell by Cell and Step by Step
    Nadal-Ribelles, Mariona
    Islam, Saiful
    Wei, Wu
    Latorre, Pablo
    Nguyen, Michelle
    de Nadal, Eulalia
    Posas, Francesc
    Steinmetz, Lars M.
    BIO-PROTOCOL, 2019, 9 (17):
  • [44] Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
    Deng, Qiaolin
    Ramskold, Daniel
    Reinius, Bjorn
    Sandberg, Rickard
    SCIENCE, 2014, 343 (6167) : 193 - 196
  • [45] Inference of high-resolution trajectories in single-cell RNA-seq data by using RNA velocity
    Zhang, Ziqi
    Zhang, Xiuwei
    CELL REPORTS METHODS, 2021, 1 (06):
  • [46] RNA Velocity: Molecular Kinetics from Single-Cell RNA-Seq
    Svensson, Valentine
    Pachter, Lior
    MOLECULAR CELL, 2018, 72 (01) : 7 - 9
  • [47] Integrative Single-Cell RNA-Seq and Single-Cell ATAC-Seq Analysis of Human Plasma Cell Differentiation
    Alaterre, Elina
    Ovejero, Sara
    Espeli, Marion
    Fest, Thierry
    Cogne, Michel
    Milpied, Pierre
    Cavalli, Giacomo
    Moreaux, Jerome
    BLOOD, 2023, 142
  • [48] Integrating single-cell RNA-seq and imaging with SCOPE-seq2
    Liu, Zhouzerui
    Yuan, Jinzhou
    Lasorella, Anna
    Iavarone, Antonio
    Bruce, Jeffrey N.
    Canoll, Peter
    Sims, Peter A.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [49] Accounting for technical noise in single-cell RNA-seq experiments
    Brennecke, Philip
    Anders, Simon
    Kim, Jong Kyoung
    Kolodziejczyk, Aleksandra A.
    Zhang, Xiuwei
    Proserpio, Valentina
    Baying, Bianka
    Benes, Vladimir
    Teichmann, Sarah A.
    Marioni, John C.
    Heisler, Marcus G.
    NATURE METHODS, 2013, 10 (11) : 1093 - 1095
  • [50] Evaluating imputation methods for single-cell RNA-seq data
    Yi Cheng
    Xiuli Ma
    Lang Yuan
    Zhaoguo Sun
    Pingzhang Wang
    BMC Bioinformatics, 24