Nature Communications · 2021 · 208 citations · 51 references
Life SciencesCell BiologyDevelopmental BiologyGene ExpressionMorphogenesisTranscriptomicsCardiovascular DevelopmentHeart DevelopmentSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsSpatial Gene ExpressionSpatial TranscriptomicsCellular Differentiation TrajectoriesCoronary Vasculature DevelopmentDevelopmental Gene Expression MappingDifferentiationLineage-resolved TranscriptomicsSingle-cell Analysis Of EmbryosSingle-cell Rna SequencingSpatial Gene Expression Mapping
Single-cell RNA sequencing is a powerful tool to study developmental biology but does not preserve spatial information about tissue morphology and cellular interactions. Here, we combine single-cell and spatial transcriptomics with algorithms for data integration to study the development of the chicken heart from the early to late four-chambered heart stage. We create a census of the diverse cellular lineages in developing hearts, their spatial organization, and their interactions during development. Spatial mapping of differentiation transitions in cardiac lineages defines transcriptional differences between epithelial and mesenchymal cells within the epicardial lineage. Using spatially resolved expression analysis, we identify anatomically restricted expression programs, including expression of genes implicated in congenital heart disease. Last, we discover a persistent enrichment of the small, secreted peptide, thymosin beta-4, throughout coronary vascular development. Overall, our study identifies an intricate interplay between cellular differentiation and morphogenesis.
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Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu, Qi Mao, Ying Tang et al. · Nature Methods · 2017 · 5.4K citations · Full text