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Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium

PURPOSE: The lens epithelium maintains the overall health of the organ. We used single-cell RNA sequencing (scRNA-seq) technology to assess transcriptional heterogeneity between cells in the postnatal day 2 (P2) epithelium and identify distinct epithelial cell subtypes. Analysis of these data was us...

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Autores principales: Giannone, Adrienne A., Sellitto, Caterina, Rosati, Barbara, McKinnon, David, White, Thomas W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599162/
https://www.ncbi.nlm.nih.gov/pubmed/37870847
http://dx.doi.org/10.1167/iovs.64.13.37
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author Giannone, Adrienne A.
Sellitto, Caterina
Rosati, Barbara
McKinnon, David
White, Thomas W.
author_facet Giannone, Adrienne A.
Sellitto, Caterina
Rosati, Barbara
McKinnon, David
White, Thomas W.
author_sort Giannone, Adrienne A.
collection PubMed
description PURPOSE: The lens epithelium maintains the overall health of the organ. We used single-cell RNA sequencing (scRNA-seq) technology to assess transcriptional heterogeneity between cells in the postnatal day 2 (P2) epithelium and identify distinct epithelial cell subtypes. Analysis of these data was used to better understand lens growth, differentiation, and homeostasis on P2. METHODS: scRNA-seq on P2 mouse lenses was performed using the 10x Genomics Chromium Single Cell 3′ Kit (v3.1) and short-read Illumina sequencing. Sequence alignment and preprocessing of data were conducted using 10x Genomics Cell Ranger software. Seurat was employed for preprocessing, quality control, dimensionality reduction, and cell clustering, and Monocle was utilized for trajectory analysis to understand the developmental progression of the lens cells. CellChat and GO analyses were used to explore cell–cell communication networks and signaling interactions. RESULTS: Lens epithelial cells (LECs) were divided into seven subclusters, classified by specific gene markers. The expression of crystallin, cell-cycle, and metabolic genes was not uniform, indicating distinct functional roles of LECs. Trajectory analysis predicted a bifurcation of differentiating and cycling cells from an Igfbp5+ progenitor pool. We also identified heterogeneity in signaling molecules and pathways, suggesting that cycling and progenitor subclusters have prominent roles in coordinating crosstalk. CONCLUSIONS: scRNA-seq corroborated many known markers of epithelial differentiation and proliferation while providing further insight into the pathways and genes directing these processes. Interestingly, we demonstrated that the developing epithelium can be divided into distinct subpopulations. These clusters reflect the transcriptionally diverse roles of the epithelium in proliferation, signaling, and maintenance.
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spelling pubmed-105991622023-10-26 Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium Giannone, Adrienne A. Sellitto, Caterina Rosati, Barbara McKinnon, David White, Thomas W. Invest Ophthalmol Vis Sci Lens PURPOSE: The lens epithelium maintains the overall health of the organ. We used single-cell RNA sequencing (scRNA-seq) technology to assess transcriptional heterogeneity between cells in the postnatal day 2 (P2) epithelium and identify distinct epithelial cell subtypes. Analysis of these data was used to better understand lens growth, differentiation, and homeostasis on P2. METHODS: scRNA-seq on P2 mouse lenses was performed using the 10x Genomics Chromium Single Cell 3′ Kit (v3.1) and short-read Illumina sequencing. Sequence alignment and preprocessing of data were conducted using 10x Genomics Cell Ranger software. Seurat was employed for preprocessing, quality control, dimensionality reduction, and cell clustering, and Monocle was utilized for trajectory analysis to understand the developmental progression of the lens cells. CellChat and GO analyses were used to explore cell–cell communication networks and signaling interactions. RESULTS: Lens epithelial cells (LECs) were divided into seven subclusters, classified by specific gene markers. The expression of crystallin, cell-cycle, and metabolic genes was not uniform, indicating distinct functional roles of LECs. Trajectory analysis predicted a bifurcation of differentiating and cycling cells from an Igfbp5+ progenitor pool. We also identified heterogeneity in signaling molecules and pathways, suggesting that cycling and progenitor subclusters have prominent roles in coordinating crosstalk. CONCLUSIONS: scRNA-seq corroborated many known markers of epithelial differentiation and proliferation while providing further insight into the pathways and genes directing these processes. Interestingly, we demonstrated that the developing epithelium can be divided into distinct subpopulations. These clusters reflect the transcriptionally diverse roles of the epithelium in proliferation, signaling, and maintenance. The Association for Research in Vision and Ophthalmology 2023-10-23 /pmc/articles/PMC10599162/ /pubmed/37870847 http://dx.doi.org/10.1167/iovs.64.13.37 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Lens
Giannone, Adrienne A.
Sellitto, Caterina
Rosati, Barbara
McKinnon, David
White, Thomas W.
Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title_full Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title_fullStr Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title_full_unstemmed Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title_short Single-Cell RNA Sequencing Analysis of the Early Postnatal Mouse Lens Epithelium
title_sort single-cell rna sequencing analysis of the early postnatal mouse lens epithelium
topic Lens
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599162/
https://www.ncbi.nlm.nih.gov/pubmed/37870847
http://dx.doi.org/10.1167/iovs.64.13.37
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