Abstract
The development of an algorithm called RaceID enables the identification of rare cell types by single-cell RNA sequencing, even when they are part of a complex mixture of similar cells. See Letter p.251 Identifying and tracking rare cell types of physiological importance in a mixed population is a challenge. This study, a collaboration between the labs of Hans Clevers and Alexander van Oudenaarden, tackles the issue by applying single-cell mRNA sequencing to mouse intestinal organoids. The authors develop an algorithm, called RaceID, that allows rare cell type identification in a complex population of single cells. They define a marker for rare enteroendocrine cells of the intestine. Analysis of cells from a primary mouse intestine using this method, reveals that the Lgr5-expressing population consists of a homogenous stem cell population with a few rare secretory cells, including Paneth cells.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
