High-resolution myogenic lineage mapping by single-cell mass cytometry.
Ermelinda PorpigliaNikolay SamusikAndrew Tri Van HoBenjamin D CosgroveThach MaiKara L DavisAstraea JagerGarry P NolanSean C BendallWendy J FantlHelen M BlauPublished in: Nature cell biology (2017)
Muscle regeneration is a dynamic process during which cell state and identity change over time. A major roadblock has been a lack of tools to resolve a myogenic progression in vivo. Here we capitalize on a transformative technology, single-cell mass cytometry (CyTOF), to identify in vivo skeletal muscle stem cell and previously unrecognized progenitor populations that precede differentiation. We discovered two cell surface markers, CD9 and CD104, whose combined expression enabled in vivo identification and prospective isolation of stem and progenitor cells. Data analysis using the X-shift algorithm paired with single-cell force-directed layout visualization defined a molecular signature of the activated stem cell state (CD44+/CD98+/MyoD+) and delineated a myogenic trajectory during recovery from acute muscle injury. Our studies uncover the dynamics of skeletal muscle regeneration in vivo and pave the way for the elucidation of the regulatory networks that underlie cell-state transitions in muscle diseases and ageing.
Keyphrases
- single cell
- skeletal muscle
- stem cells
- rna seq
- high resolution
- insulin resistance
- high throughput
- cell surface
- liver failure
- machine learning
- cell therapy
- poor prognosis
- single molecule
- big data
- electronic health record
- long non coding rna
- high density
- respiratory failure
- tandem mass spectrometry
- genetic diversity
- acute respiratory distress syndrome