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10x Lacrimal Gland scRNA seq data matrix

Citation

Yu, Shengyang; Tward, Aaron; Knox, Sarah (2017), 10x Lacrimal Gland scRNA seq data matrix, UC San Francisco Dash, Dataset, https://doi.org/10.7272/Q6W37T8B

Abstract

Isolated Lacrimal gland for Single Cell RNA sequence data from E16 and P4 mice. These are the raw read count matrices along side the barcode for the cells and genes that span the sparse matrix. These results are published in Development: Defining epithelial cell dynamics and lineage relationships in the developing lacrimal gland.

Abstract:

The tear producing lacrimal gland is a tubular organ that protects and lubricates the ocular surface. While the lacrimal gland possesses many features that make it an excellent model to understand tubulogenesis, the cell types and lineage relationships that drive lacrimal gland formation are unclear. Using single cell sequencing and other molecular tools, we reveal novel cell identities and epithelial lineage dynamics that underlie lacrimal gland development. We show that the lacrimal gland from its earliest developmental stages is composed of multiple subpopulations of immune, epithelial, and mesenchymal cell lineages. The epithelial lineage exhibits the most substantiative cellular changes, transitioning through a series of unique transcriptional states to become terminally differentiated acinar, ductal and myoepithelial cells. Furthermore, lineage tracing in postnatal and adult glands provides the first direct evidence of unipotent KRT5+ epithelial cells in the lacrimal gland. Finally, we show conservation of developmental markers between the developing mouse and human lacrimal gland, supporting the use of mice to understand human development. Together, our data reveal critical features of lacrimal gland development that have broad implications for understanding epithelial organogenesis.

Methods

Gathered via 10x Genomics Cell Ranger pipeline for scRNA seq.

These are the count matrices.

Usage Notes

Any programming language can load the matrix. We would recommend using the Seurat R package to load and process this data.

Location

University of California San Francisco (UCSF) School of Dentistry, San Francisco, CA, USA