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

Authors :
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
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1755839fc334439e964694bc980e7a46
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-34271-z