Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues - PubMed
5 hours ago
- #immune heterogeneity
- #tissue microenvironment
- #spatial transcriptomics
- UCASpatial is an ultra-precision spatial transcriptomics deconvolution algorithm using entropy-based weighting to accurately map cell subpopulations.
- UCASpatial excels in identifying low-abundant and transcriptionally heterogeneous cell subpopulations.
- Application in human colorectal cancer reveals chromosome 20q gain in cancer clones leads to a T cell-excluded microenvironment, linked to HERV-H silencing and impaired type I interferon responses.
- In murine wound healing models, UCASpatial identifies spatiotemporal dynamics differentiating scarring from regenerative phenotypes.
- A pro-fibrotic community comprising Igfbp5+ chondrocytes, Cd36+ Gpnmb+ Il1b- macrophages, and Fmod+ fibroblasts is found in scarring-healing mice (C57BL/6).
- IL11-IL11RA signaling within this triad drives pro-fibrotic community formation and limits regeneration.
- UCASpatial is a versatile tool for decoding fine-grained cellular landscapes and exploring intercellular mechanisms in complex microenvironments.