[PDF][PDF] Mapping the mouse cell atlas by microwell-seq

X Han, R Wang, Y Zhou, L Fei, H Sun, S Lai… - Cell, 2018 - cell.com
X Han, R Wang, Y Zhou, L Fei, H Sun, S Lai, A Saadatpour, Z Zhou, H Chen, F Ye, D Huang
Cell, 2018cell.com
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 …
Summary
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.
cell.com