转录组
电池类型
细胞
核糖核酸
生物
计算生物学
基因
基因表达
遗传学
作者
Sevahn K. Vorperian,Mira N. Moufarrej,Robert C. Jones,Jim Karkanias,Mark A. Krasnow,Angela Oliveira Pisco,Stephen R. Quake,Julia Salzman,Nir Yosef,Bryan Bulthaup,Phillip Brown,William Harper,Marisa Hemenez,Ravikumar Ponnusamy,Ahmad Salehi,Bhavani A. Sanagavarapu,Eileen Spallino,Ksenia A. Aaron,Waldo Concepcion,James M. Gardner
标识
DOI:10.1038/s41587-021-01188-9
摘要
Abstract Cell-free RNA from liquid biopsies can be analyzed to determine disease tissue of origin. We extend this concept to identify cell types of origin using the Tabula Sapiens transcriptomic cell atlas as well as individual tissue transcriptomic cell atlases in combination with the Human Protein Atlas RNA consensus dataset. We define cell type signature scores, which allow the inference of cell types that contribute to cell-free RNA for a variety of diseases.
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