Nature Communications (Oct 2022)

De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution

  • Jie Liao,
  • Jingyang Qian,
  • Yin Fang,
  • Zhuo Chen,
  • Xiang Zhuang,
  • Ningyu Zhang,
  • Xin Shao,
  • Yining Hu,
  • Penghui Yang,
  • Junyun Cheng,
  • Yang Hu,
  • Lingqi Yu,
  • Haihong Yang,
  • Jinlu Zhang,
  • Xiaoyan Lu,
  • Li Shao,
  • Dan Wu,
  • Yue Gao,
  • Huajun Chen,
  • Xiaohui Fan

DOI
https://doi.org/10.1038/s41467-022-34271-z
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 19

Abstract

Read online

Current methods to reanalyze bulk RNA-seq at spatially resolved single-cell resolution have limitations. Here, the authors develop Bulk2Space, a spatial deconvolution algorithm using single-cell and spatial transcriptomics as references, providing new insights into spatial heterogeneity within bulk tissue.