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Series GSE44064 Query DataSets for GSE44064
Status Public on May 23, 2013
Title High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary 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 Descemet’s Stripping Endothelial Keratoplasty (DSEK) and Descemet’s 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.
Overall design 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.
Contributor(s) Chng Z, Peh GS, Herath WB, Robson P, Mehta JS, Colman A
Citation(s) 23844023
Submission date Feb 05, 2013
Last update date May 15, 2019
Contact name Zhenzhi Chng
Organization name Institute of Medical Biology
Lab Alan Colman
Street address 8A Biomedical Grove #06-06
City Singapore
ZIP/Postal code 138648
Country Singapore
Platforms (1)
GPL13393 AB SOLiD 4 System (Homo sapiens)
Samples (4)
GSM1077448 CEC Young
GSM1077449 CEC Old
GSM1077450 CEC Culture
BioProject PRJNA188504
SRA SRP018405

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Supplementary file Size Download File type/resource
GSE44064_RHM040_043_Analysis.txt.gz 1.1 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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