Expression profiling by high throughput sequencing
Summary
We used single-cell RNA sequencing to determine the cell type composition of all major human organs and construct a basic scheme for the human cell landscape (HCL). We reveal a single-cell hierarchy for many tissues that have not been well characterized previously. We present a “single-cell HCL analysis’’ pipeline that accurately defines human cell types and exemplify its utility in stem cell biology. Finally, we perform single-cell comparative analysis of the human and mouse cell atlases to reveal the conserved genetic networks in the mammalian system.
Overall design
Microwell-seq analyses of 60 types of human tissues and supplementary datasets for the Mouse Cell Atlas data.
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