Transcriptomics

Dataset Information

0

Single-cell RNA transcriptome helps define the limbal/corneal epithelial stem/early transit amplifying cells and how autophagy affects this population in cornea


ABSTRACT: Purpose: Single-cell RNA-sequencing (scRNA-seq) was used to interrogate the relatively rare stem (SC) and early transit amplifying (TA) cell populations in limbal/corneal epithelia from wild-type and autophagy-compromised mice. Results: Unbiased clustering detected 10 distinct populations: three clusters of mesenchymal and seven clusters of epithelial cells, based on their unique molecular signatures. A discrete group of mesenchymal cells expressed genes associated with corneal stromal SCs. We identified three limbal/corneal epithelial cell subpopulations designated as stem/early TA, mature TA, and differentiated corneal epithelial cells. Thioredoxin-interacting protein and PDZ-binding kinase (PBK) were identified as novel regulators of stem/early TA cell quiescence. PBK arrested corneal epithelial cells in G2/M phase of the cell cycle. Beclin1+/− mice displayed a decrease in proliferation-associated (Ki67, Lrig1) and stress-response (H2ax) genes. The most increased gene in beclin1+/− mice was transcription factor ATF3, which negatively regulates limbal epithelial cell proliferation. Conclusions: Establishment of a comprehensive atlas of genes expressed by stromal and epithelial cells from limbus and cornea forms the foundation for unraveling regulatory networks among these distinct tissues. Similarly, scRNA-seq profiling of the anterior segmental epithelia from wild-type and autophagy-deficient mice provides new insights into how autophagy influences proliferation in these tissues.

ORGANISM(S): Mus musculus

PROVIDER: GSE158454 | GEO | 2020/09/24

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-04-19 | GSE155683 | GEO
2007-11-22 | E-GEOD-4098 | biostudies-arrayexpress
2024-07-15 | GSE263994 | GEO
| PRJNA94917 | ENA
2015-06-24 | E-GEOD-70152 | biostudies-arrayexpress
2011-06-09 | E-GEOD-29402 | biostudies-arrayexpress
2011-10-10 | GSE24979 | GEO
2023-09-22 | GSE236440 | GEO
2023-09-22 | GSE206920 | GEO
2023-09-22 | GSE206918 | GEO