High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells
Considerable interest has been generated for the development of suitable corneal endothelial graft alternatives through cell-tissue engineering, which can potentially alleviate the shortage of corneal transplant material. The advent of less invasive suture-less key-hole surgery options such as Desce...
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description | Considerable interest has been generated for the development of suitable corneal endothelial graft alternatives through cell-tissue engineering, 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 was 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. |
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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 was 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0067546</identifier><identifier>PMID: 23844023</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Analysis ; Anion Transport Proteins - genetics ; Anion Transport Proteins - metabolism ; Antiporters - genetics ; Antiporters - metabolism ; Autopsy ; Biology ; Biomarkers - metabolism ; Collagen Type VIII - genetics ; Collagen Type VIII - metabolism ; Cornea ; Corneal Keratocytes - cytology ; Corneal Keratocytes - metabolism ; Corneal Stroma - cytology ; Corneal Stroma - metabolism ; Corneal transplantation ; Developmental biology ; Donors ; Endothelial cells ; Endothelial Cells - cytology ; Endothelial Cells - metabolism ; Endothelium ; Endothelium, Corneal - cytology ; Endothelium, Corneal - metabolism ; Female ; Fibroblasts ; Gene Expression ; Gene Expression Profiling ; Gene sequencing ; Genes ; Genetic aspects ; Genomes ; Grafts ; Humans ; Male ; Markers ; Medicine ; Membrane Proteins - genetics ; Membrane Proteins - metabolism ; Middle Aged ; Mutation ; Organ Specificity ; Physiological aspects ; Primary Cell Culture ; Ribonucleic acid ; RNA ; Signal transduction ; Stem cells ; Stroma ; Surgery ; Therapeutic applications ; Thickness ; Tissue engineering ; Transplantation ; Transplants & implants</subject><ispartof>PloS one, 2013-07, Vol.8 (7), p.e67546-e67546</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Chng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Chng et al 2013 Chng et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-3111ce0f81b090ea994e09a28a916585544a9c00dc6bd8cb735ba291a5f752533</citedby><cites>FETCH-LOGICAL-c758t-3111ce0f81b090ea994e09a28a916585544a9c00dc6bd8cb735ba291a5f752533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3699644/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3699644/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23844023$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Emanueli, Costanza</contributor><creatorcontrib>Chng, Zhenzhi</creatorcontrib><creatorcontrib>Peh, Gary S L</creatorcontrib><creatorcontrib>Herath, Wishva B</creatorcontrib><creatorcontrib>Cheng, Terence Y D</creatorcontrib><creatorcontrib>Ang, Heng-Pei</creatorcontrib><creatorcontrib>Toh, Kah-Peng</creatorcontrib><creatorcontrib>Robson, Paul</creatorcontrib><creatorcontrib>Mehta, Jodhbir S</creatorcontrib><creatorcontrib>Colman, Alan</creatorcontrib><title>High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Considerable interest has been generated for the development of suitable corneal endothelial graft alternatives through cell-tissue engineering, 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 was 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.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anion Transport Proteins - genetics</subject><subject>Anion Transport Proteins - metabolism</subject><subject>Antiporters - genetics</subject><subject>Antiporters - metabolism</subject><subject>Autopsy</subject><subject>Biology</subject><subject>Biomarkers - metabolism</subject><subject>Collagen Type VIII - genetics</subject><subject>Collagen Type VIII - metabolism</subject><subject>Cornea</subject><subject>Corneal Keratocytes - cytology</subject><subject>Corneal Keratocytes - metabolism</subject><subject>Corneal Stroma - cytology</subject><subject>Corneal Stroma - metabolism</subject><subject>Corneal transplantation</subject><subject>Developmental biology</subject><subject>Donors</subject><subject>Endothelial cells</subject><subject>Endothelial Cells - cytology</subject><subject>Endothelial Cells - metabolism</subject><subject>Endothelium</subject><subject>Endothelium, Corneal - cytology</subject><subject>Endothelium, Corneal - metabolism</subject><subject>Female</subject><subject>Fibroblasts</subject><subject>Gene Expression</subject><subject>Gene Expression Profiling</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Grafts</subject><subject>Humans</subject><subject>Male</subject><subject>Markers</subject><subject>Medicine</subject><subject>Membrane Proteins - genetics</subject><subject>Membrane Proteins - metabolism</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Organ Specificity</subject><subject>Physiological aspects</subject><subject>Primary Cell Culture</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Signal transduction</subject><subject>Stem cells</subject><subject>Stroma</subject><subject>Surgery</subject><subject>Therapeutic applications</subject><subject>Thickness</subject><subject>Tissue engineering</subject><subject>Transplantation</subject><subject>Transplants & implants</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1tv1DAQhSMEoqXwDxBEQkLwsIsdXxK_IFUV0JUqVeL2ajnOJHHx2ls7Qe2_x2HTaoP6gPKQyPnOmczJTJa9xGiNSYk_XPkxOGXXO-9gjRAvGeWPsmMsSLHiBSKPD56PsmcxXiHESMX50-yoIBWlqCDHWTg3XZ8PffBj1-_GIe_AQQ43uwAxGu9ylWrcRhNz04AbTGsg5gGsUbVdcFsVfkGIuW_zftwql2sfHCibg2v80E8Km2uwNj7PnrTKRngx30-yH58_fT87X11cftmcnV6sdMmqYUUwxhpQW-EaCQRKCApIqKJSAnNWMUapEhqhRvO6qXRdElarQmDF2pIVjJCT7PXed2d9lHNcUWJacFEiSkUiNnui8epK7oJJTdxKr4z8e-BDJ1UYjLYgOVFItKwkuKCUaC2Y1lxUFUXAoVE0eX2cq431FhqdwgrKLkyXb5zpZed_S8KF4HQyeDcbBH89Qhzk1sQpMOXAj-m7iRCi4Kn3hL75B324u5nqVGrAuNanunoylae0TANAcVUlav0Ala4Gtkan2WpNOl8I3i8EiRngZujUGKPcfPv6_-zlzyX79oDt0-gMffR2HNJ0xSVI96AOPsYA7X3IGMlpNe7SkNNqyHk1kuzV4Q-6F93tAvkDawYKVg</recordid><startdate>20130702</startdate><enddate>20130702</enddate><creator>Chng, Zhenzhi</creator><creator>Peh, Gary S L</creator><creator>Herath, Wishva B</creator><creator>Cheng, Terence Y D</creator><creator>Ang, Heng-Pei</creator><creator>Toh, Kah-Peng</creator><creator>Robson, Paul</creator><creator>Mehta, Jodhbir S</creator><creator>Colman, Alan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130702</creationdate><title>High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells</title><author>Chng, Zhenzhi ; Peh, Gary S L ; Herath, Wishva B ; Cheng, Terence Y D ; Ang, Heng-Pei ; Toh, Kah-Peng ; Robson, Paul ; Mehta, Jodhbir S ; Colman, Alan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-3111ce0f81b090ea994e09a28a916585544a9c00dc6bd8cb735ba291a5f752533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Anion Transport Proteins - genetics</topic><topic>Anion Transport Proteins - metabolism</topic><topic>Antiporters - genetics</topic><topic>Antiporters - metabolism</topic><topic>Autopsy</topic><topic>Biology</topic><topic>Biomarkers - metabolism</topic><topic>Collagen Type VIII - genetics</topic><topic>Collagen Type VIII - metabolism</topic><topic>Cornea</topic><topic>Corneal Keratocytes - cytology</topic><topic>Corneal Keratocytes - metabolism</topic><topic>Corneal Stroma - cytology</topic><topic>Corneal Stroma - metabolism</topic><topic>Corneal transplantation</topic><topic>Developmental biology</topic><topic>Donors</topic><topic>Endothelial cells</topic><topic>Endothelial Cells - cytology</topic><topic>Endothelial Cells - metabolism</topic><topic>Endothelium</topic><topic>Endothelium, Corneal - cytology</topic><topic>Endothelium, Corneal - metabolism</topic><topic>Female</topic><topic>Fibroblasts</topic><topic>Gene Expression</topic><topic>Gene Expression Profiling</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Grafts</topic><topic>Humans</topic><topic>Male</topic><topic>Markers</topic><topic>Medicine</topic><topic>Membrane Proteins - 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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 was 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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23844023</pmid><doi>10.1371/journal.pone.0067546</doi><tpages>e67546</tpages><oa>free_for_read</oa></addata></record> |
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source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Aged Analysis Anion Transport Proteins - genetics Anion Transport Proteins - metabolism Antiporters - genetics Antiporters - metabolism Autopsy Biology Biomarkers - metabolism Collagen Type VIII - genetics Collagen Type VIII - metabolism Cornea Corneal Keratocytes - cytology Corneal Keratocytes - metabolism Corneal Stroma - cytology Corneal Stroma - metabolism Corneal transplantation Developmental biology Donors Endothelial cells Endothelial Cells - cytology Endothelial Cells - metabolism Endothelium Endothelium, Corneal - cytology Endothelium, Corneal - metabolism Female Fibroblasts Gene Expression Gene Expression Profiling Gene sequencing Genes Genetic aspects Genomes Grafts Humans Male Markers Medicine Membrane Proteins - genetics Membrane Proteins - metabolism Middle Aged Mutation Organ Specificity Physiological aspects Primary Cell Culture Ribonucleic acid RNA Signal transduction Stem cells Stroma Surgery Therapeutic applications Thickness Tissue engineering Transplantation Transplants & implants |
title | High throughput gene expression analysis identifies reliable expression markers of human corneal endothelial cells |
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