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.
Original language | English |
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Pages (from-to) | 855-+ |
Number of pages | 27 |
Journal | Nature biotechnology |
Volume | 40 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2022 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Biotechnology
- Bioengineering
- Applied Microbiology and Biotechnology
- Molecular Medicine
- Biomedical Engineering