Cell Biology

Transcriptomic profiling of Schlemm’s canal cells reveals a lymphatic-biased identity and three major cell states

Revathi Balasubramanian
Krishnakumar Kizhatil
Taibo Li
Nicholas Tolman
Aakriti Bhandari
Graham Clark
Violet Bupp-Chickering
Ruth A. Kelly
Sally Zhou
John Peregrin
Marina Simón
Christa Montgomery
W Daniel Stamer
Jiang Qian
Simon W.M. John author has email address

Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY
The Jackson Laboratory, Bar Harbor, Maine
Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD
Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA
Neuroscience Graduate Program, University of Utah, Salt Lake City, UT
Department of Ophthalmology, Duke University, NC
SUNY Downstate Health Sciences University, New York, NY
Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD
Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY

https://doi.org/10.7554/eLife.96459.1

Open access
Copyright information

Figures and data

SEC bulk transcriptome is more similar to LEC than BEC transcriptomes.
A. Pairwise comparison of bulk RNA sequencing data showing differentially expressed genes (DEGs) between cell groups, note larger number of non-DEGs in gray in plot of LEC vs. SEC compared to others. B. Hierarchical clustering of BECs, SECs, and LECs. C. Pathways enriched in SECs vs BECs (top panel), LECs vs. SECs (bottom panel) by GSEA analysis. BEC: Blood endothelial cell, LEC: Lymphatic endothelial cell, SEC: Schlemm’s canal endothelial cell.

scRNA-seq data reveals robust SEC signature genes.
A. Clusters of cells from the limbal tissue represented on a UMAP space B. Expression of Egfl7 in endothelial cells. C. Endothelial cell cluster is sub-clustered into BEC, LEC, and SEC. D. Expression of Flt1 enriched in BEC, Prox1 in LEC and SEC, and Lvye1 in LEC identifying the three cell clusters. E. Violin plot of genes expressed BEC, SEC, and LEC from scRNA-seq data. F. Heatmap of signature genes from BEC, SEC, and LEC from scRNA-seq data. BEC: Blood endothelial cell, LEC: Lymphatic endothelial cell, SEC: Schlemm’s canal endothelial cell.

Integrating scRNA and snRNA-seq enables detection of outer and inner wall transcriptomes.
A. snRNA-seq of C57BL/6J limbal tissue identifies similar cell types as the sc RNA-seq but captures more endothelial cells (left panel). Expression of Egfl7 and Cdh5 in snRNA-seq endothelial cells (right panel). B. Integration of sc and snRNA-seq endothelial cells followed by sub-clustering identifies BECs, LECs, IW SECs, OW SECs, and CC. C. Heatmap of differentially expressed genes of the identified sub-clusters. D. SECs and LEC sub-clusters identified in B, expressing Prox1. In the SEC cluster, IW cells express Npnt and OW cells Selp, CCs express Ackr1 and BECs robustly express Flt1. IW: Inner wall, OW: Outer wall, CC: Collector channels, BEC: Blood endothelial cell, LEC: Lymphatic endothelial cell, SEC: Schlemm’s canal endothelial cell.

Integration of C57BL/6J and 129/Sj endothelial cells identifies IW states.
A. scRNA-seq of 129/Sj anterior segment tissue identifies various cell types similar to that in C57BL/6J single-cell RNA sequencing (left panel). Expression of Egfl7 and Cdh5 in snRNA-seq endothelial cells (right panel). B. Integration of B6 and 129/Sj endothelial cells followed by sub-clustering identifies BECs, LECs, IW1 SECs, IW2 SECs, OW SECs, and CCs. C. Sub-clustering identifies complementary expression patterns of Npnt and Ccl21a in IW1 and IW2 SECs, Ackr1 in CCs, and Selp in OW SECs. D. Heatmap of differentially expressed genes of the identified sub-clusters. E. Violin plot showing differences in expression levels of various genes which as a combination defines individual sub-clusters. IW: Inner wall, OW: Outer wall, CC: Collector channels, BEC: Blood endothelial cell, LEC: Lymphatic endothelial cell, SEC: Schlemm’s Canal endothelial cell.

Immunofluorescence validates cell types and discovers bias for discrete localization of IW1 and IW2 cells.
A. Npnt expression in a subgroup of SEC in scRNA-seq data (i) and corresponding immunofluorescence (IF) reveals high level of expression of NPNT in anterior portion of IW of SC in a frozen section (ii) and whole mount (iii and iv). B. Ccl21a is expressed in SECs and LECs (i) and corresponding IF reveals high expression in posterior portion of IW of SC in a frozen section (ii) and whole mount (iii and iv). C. Selp is expressed in OW SECs and CCs, a subgroup of SECs in single-cell (i) and corresponding IF (ii frozen section, iii-iv whole mount). D. Ackr1 expression in a subset of CC cells (i) and corresponding IF (ii frozen section, iii whole mount). IW: Inner wall, OW: Outer wall, CC: Collector channels, CB: Ciliary body, LY: Lymphatic vessels, BV: Blood vessels SC: Schlemm’s canal. Ant.: Anterior SC, Post.: Posterior SC.

Cell-type assignment of high IOP and glaucoma genes.
A. Expression levels of gene list obtained from GWAS and genetic analyses associated with glaucoma and elevated IOP. B. Expression levels of genes involved in developmental forms of glaucoma. C. Disease relevance score (DRS) of genes from GWAS studies associated with glaucoma and elevated IOP. D. Expression levels of specific genes in subtypes of endothelial cells.

Predicted ligand-receptor analysis reveals signaling pairs between TM and SC.
A, B. Circos plots depicting predicted ligand-receptor interaction between genes expressed in SECs and those in surrounding trabecular meshwork cells. C. Gene ontology analysis of genes enriched in SC. D. Heatmap of genes in individual enriched pathways showing their expression in endothelial cell subsets.

Sign up for email alerts