Journal
CELL
Volume 172, Issue 5, Pages 1091-+Publisher
CELL PRESS
DOI: 10.1016/j.cell.2018.02.001
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Funding
- National Natural Science Foundation of China [31722027, 81770188, 31701290]
- National Key Program on Stem Cell and Translational Research [2017YFA0103401]
- 973 Program [2015CB964900]
- Zhejiang Provincial Natural Science Foundation of China [R17H080001]
- Fundamental Research Funds for the Central Universities [2016XZZX002-04]
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Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not been achieved for complex mammalian systems. Here, we developed Microwell-seq, a high-throughput and low-cost scRNA-seq platform using simple, inexpensive devices. Using Microwell-seq, we analyzed more than 400,000 single cells covering all of the major mouse organs and constructed a basic scheme for a mouse cell atlas (MCA). We reveal a single-cell hierarchy for many tissues that have not been well characterized previously. We built a web-based single-cell MCA analysis pipeline that accurately defines cell types based on single-cell digital expression. Our study demonstrates the wide applicability of the Microwell-seq technology and MCA resource.
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