Nature Cardiovascular Research · 2022 · 447 citations · 66 references
Life SciencesCardiologyCell BiologyAgingGene ExpressionTranscriptomicsCardiovascular GenomicsCell-type-specific TranscriptomicsHeart FailureSingle-cell AnalysisSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsCell Composition AnalysisCell Type-specific Transcriptional RegulationCell-state SignaturesGlobal Transcriptional RegulationSingle-cell Gene Expression ProfilingSingle-cell Rna SequencingSingle-nucleus Rna SequencingSingle-nucleus Transcriptomics
Heart failure represents a major cause of morbidity and mortality worldwide. Single-cell transcriptomics have revolutionized our understanding of cell composition and associated gene expression. Through integrated analysis of single-cell and single-nucleus RNA-sequencing data generated from 27 healthy donors and 18 individuals with dilated cardiomyopathy, here we define the cell composition of the healthy and failing human heart. We identify cell-specific transcriptional signatures associated with age and heart failure and reveal the emergence of disease-associated cell states. Notably, cardiomyocytes converge toward common disease-associated cell states, whereas fibroblasts and myeloid cells undergo dramatic diversification. Endothelial cells and pericytes display global transcriptional shifts without changes in cell complexity. Collectively, our findings provide a comprehensive analysis of the cellular and transcriptomic landscape of human heart failure, identify cell type-specific transcriptional programs and disease-associated cell states and establish a valuable resource for the investigation of human heart failure.
66
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
NIH Image to ImageJ: 25 years of image analysis
Caroline A Schneider, Wayne Rasband, Kevin W. Eliceiri · Nature Methods · 2012 · 65.2K citations
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Guangchuang Yu, Li-Gen Wang, Yanyan Han et al. · OMICS A Journal of Integrative Biology · 2012 · 38.3K citations
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen et al. · Cell · 2021 · 16K citations · Full text