The emergent landscape of the mouse gut endoderm at single-cell resolution [scRNA-seq]
UID: 11035
- Description
- Summary from GEO:
"To comprehensively delineate the ontogeny of an organ system, we generated 112,217 single- cell transcriptomes representing all endoderm populations within the mouse embryo until midgestation. We employed graph-based approaches to model differentiating cells for spatio- temporal characterization of developmental trajectories. Our analysis reveals the detailed architecture of the emergence of the first (primitive or extra-embryonic) endodermal population and pluripotent epiblast. We uncover an unappreciated relationship between descendants of these lineages, before the onset of gastrulation, suggesting that mixing of extra-embryonic and embryonic endoderm cells occurs more than once during mammalian development. We map the trajectories of endoderm cells as they acquire embryonic versus extra-embryonic fates, and their spatial convergence within the gut endoderm; revealing them to be globally similar but retaining aspects of their lineage history. We observe the regionalized localization of cells along the forming gut tube, reflecting their extra-embryonic or embryonic origin, and their coordinate patterning into organ-specific territories along the anterior-posterior axis."
Overall design from GEO:
"Cells were isolated from sequentially-staged wild-type mouse embryos between E3.5 and E8.75. Whole embryos were used for single-cell isolations for stages E3.5-E5.5. Endodermal tissue layers were isolated from E6.5-E8.75 stages. Gut tube of E8.75 were sorted based on GFP expression and another dataset was generated using anterior - posterior positioning. Each sample was measured in replicate with E5.5 and E7.5 measured in triplicates."
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Access via GEO
Accession #: GSE123046Access via BioProject
Accession #: PRJNA507408Access via SRA
Accession #: SRP171031 - Access Restrictions
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Free to All
- Access Instructions
- The NCBI Gene Expression Omnibus. BioProject, and SRA databases provide open access to these files.
- Associated Publications
- Equipment Used
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Illumina NovaSeq 6000
- Dataset Format(s)
- CSV, TAR
- Dataset Size
- 720.4 MB
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