Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells.


ABSTRACT: Considerable interest has been generated for the development through cell-tissue engineering of suitable corneal endothelial graft alternatives, which can potentially alleviate the shortage of corneal transplant material. The advent of less invasive suture-less key-hole surgery options such as DescemetM-bM-^@M-^Ys Stripping Endothelial Keratoplasty (DSEK) and DescemetM-bM-^@M-^Ys Membrane Endothelial Keratoplasty (DMEK), which involve transplantation of solely the endothelial layer instead of full thickness cornea, provide further impetus for the development of alternative endothelial grafts for clinical applications. A major challenge for this endeavor is the lack of specific markers for this cell type. To identify genes that reliably mark corneal endothelial cells (CECs) in vivo and in vitro, we performed RNA-sequencing on freshly isolated human CECs (from both young and old donors), CEC cultures, and corneal stroma. Gene expression of these corneal cell types were also compared to that of other human tissue types. Based on high throughput comparative gene expression analysis, we identified a panel of markers that are: i) highly expressed in CECs from both young donors and old donors; ii) expressed in CECs in vivo and in vitro; and iii) not expressed in corneal stroma keratocytes and the activated corneal stroma fibroblasts. These were SLC4A11, COL8A2 and CYYR1. The use of this panel of genes in combination reliably ascertains the identity of the CEC cell type. A total of 20 donor corneas consisting of 10 single donor corneas and 5 paired donor corneas were used in this study. Donor age ranged from 19 - 76. This RNA-seq study included 15 pooled corneas (5 each) used form CEC old, CEC young and stroma samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Zhenzhi Chng 

PROVIDER: E-GEOD-44064 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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