A single-cell atlas reveals unanticipated cell type complexity in Drosophila ovaries
Name
Genome Res.-2021-Slaidina-1938-51.pdf
Description
Published version
Size
15.5 MB
Format
Adobe PDF
Checksum (MD5)
4b44579aa9b40762279547eaad280447
Author(s)
Slaidina, Maija
Gupta, Selena
Banisch, Torsten U
Lehmann, Ruth
Date Issued
2021
Journal
Genome Research
Publisher
Cold Spring Harbor Laboratory
Citation
Slaidina, Maija, Gupta, Selena, Banisch, Torsten U and Lehmann, Ruth. 2021. "A single-cell atlas reveals unanticipated cell type complexity in Drosophila ovaries." Genome Research, 31 (10).
Version
Final published version
Abstract
Organ function relies on the spatial organization and functional coordination of numerous cell types. The Drosophila ovary is a widely used model system to study the cellular activities underlying organ function, including stem cell regulation, cell signaling and epithelial morphogenesis. However, the relative paucity of cell type–specific reagents hinders investigation of molecular functions at the appropriate cellular resolution. Here, we used single-cell RNA sequencing to characterize all cell types of the stem cell compartment and early follicles of the Drosophila ovary. We computed transcriptional signatures and identified specific markers for nine states of germ cell differentiation and 23 somatic cell types and subtypes. We uncovered an unanticipated diversity of escort cells, the somatic cells that directly interact with differentiating germline cysts. Three escort cell subtypes reside in discrete anatomical positions and express distinct sets of secreted and transmembrane proteins, suggesting that diverse micro-environments support the progressive differentiation of germ cells. Finally, we identified 17 follicle cell subtypes and characterized their transcriptional profiles. Altogether, we provide a comprehensive resource of gene expression, cell type–specific markers, spatial coordinates, and functional predictions for 34 ovarian cell types and subtypes.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1101/GR.274340.120
