American Journal of Physiology-Cell Physiology · 2020 · 129 citations · 37 references
Life SciencesCell BiologyPhysiologyCell DifferentiationCell SignalingTranscriptomicsCell Type AnnotationSingle-cell AnalysisSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsTrajectory InferenceTranscriptomic HeterogeneityCell Composition AnalysisProgenitor CellsSingle-cell Gene Expression ProfilingSingle-cell Rna SequencingSingle-cell Rna Sequencing Cell Type AnnotationSingle-cell Transcriptomic VariabilitySpatial Cellular Heterogeneity
Tendon is a dense connective tissue that stores and transmits forces between muscles and bones. Cellular heterogeneity is increasingly recognized as an important factor in the biological basis of tissue homeostasis and disease, yet little is known about the diversity of cell types that populate tendon. To address this, we determined the heterogeneity of cell populations within mouse Achilles tendons using single-cell RNA sequencing. In assembling a transcriptomic atlas of Achilles tendons, we identified 11 distinct types of cells, including three previously undescribed populations of tendon fibroblasts. Prior studies have indicated that pericytes, which are found in the vasculature of tendons, could serve as a potential source of progenitor cells for adult tendon fibroblasts. Using trajectory inference analysis, we provide additional support for the notion that pericytes are likely to be at least one of the progenitor cell populations for the fibroblasts that compose adult tendons. We also modeled cell-cell interactions and identified previously undescribed ligand-receptor signaling interactions involved in tendon homeostasis. Our novel and interactive tendon atlas highlights previously underappreciated heterogeneity between and within tendon cell populations. The atlas also serves as a resource to further the understanding of tendon extracellular matrix assembly and maintenance and in the design of therapies for tendinopathies.
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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
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris