Mapping the mouse cell atlas by microwell-seq

• Autores: Xiaoping Han, Renying Wang, Yincong Zhou
• Localización: Cell, ISSN 0092-8674, Vol. 172, Nº. 5, 2018, págs. 1091-1107
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • 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.