Spatial RNA velocity reveals cellular state transitions and prognostic markers in the melanoma microenvironment - Takeaways - MDSpire

Spatial RNA velocity reveals cellular state transitions and prognostic markers in the melanoma microenvironment

  • By

  • Xiangjian Fang

  • Juntao Cheng

  • Zhiyi Wei

  • Biao Wang

  • June 22, 2026

  • 0 min

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  • 1

    A novel computational framework was developed to analyze spatial RNA velocity using nuclear and cytoplasmic RNA as proxies for unspliced and spliced mRNA.

  • 2

    The framework integrates with scVelo’s dynamical model to infer directional state transitions from melanoma spatial transcriptomes.

  • 3

    The study identified cluster-specific dynamic genes associated with patient prognosis and enriched for immune-related pathways.

  • 4

    This approach reconstructs melanoma cell progression trajectories and T cell differentiation paths from high-resolution spatial transcriptomic data.

  • 5

    The study bridges spatial biology and transcriptional dynamics, providing insights into the relationship between tissue architecture and clinical outcomes.

Original Source(s)

Spatial RNA velocity reveals cellular state transitions and prognostic markers in the melanoma microenvironment

  • by Xiangjian Fang, Juntao Cheng, Zhiyi Wei, Biao Wang

  • June 22, 2026

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