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Related Experiment Video

Updated: Mar 22, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in

Yin Xu1,2,3, Zurui Huang1,2,3, Yawei Zhang1,2,3

  • 1RNA Center for Cross-disciplinary Omics and Intelligent Decoding, China National Center for Bioinformation, Beijing, China.

Nature Communications
|March 21, 2026
PubMed
Summary

UCASpatial, a new spatial transcriptomics algorithm, precisely maps cell subpopulations in complex tissues. It reveals how cancer influences immune microenvironments and identifies key cell interactions driving wound healing.

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Area of Science:

  • Single-cell biology
  • Spatial transcriptomics
  • Immunology
  • Cancer research
  • Wound healing research

Background:

  • Understanding immune cell spatial organization in tissues is difficult.
  • Existing methods struggle with low-abundance or heterogeneous cell populations.

Purpose of the Study:

  • Introduce UCASpatial, an ultra-precision spatial transcriptomics deconvolution algorithm.
  • Utilize entropy-based weighting for accurate cell subpopulation mapping.
  • Benchmark UCASpatial against existing methods for superior performance.

Main Methods:

  • Developed UCASpatial, an algorithm using entropy-based weighting for deconvolution.
  • Applied UCASpatial to human colorectal cancer (CRC) samples.
  • Applied UCASpatial to murine wound healing models (C57BL/6).

Main Results:

  • UCASpatial accurately identifies low-abundant and transcriptionally heterogeneous cell subpopulations.
  • In CRC, chromosome 20q gain creates a T cell-excluded microenvironment via HERV-H silencing and impaired type I interferon response.
  • In murine wound healing, identified a pro-fibrotic triad (Igfbp5+ chondrocytes, Cd36+ Gpnmb+ Il1b- macrophages, Fmod+ fibroblasts) driving scarring via IL11-IL11RA signaling.

Conclusions:

  • UCASpatial is a versatile tool for deciphering fine-grained cellular landscapes.
  • Revealed novel insights into cancer-induced immune exclusion and wound healing mechanisms.
  • Highlights the role of specific cell-cell signaling in tissue microenvironments.