Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation

Background: Development of primary open-angle glaucoma (POAG) is associated with the malfunctioning trabecular meshwork (TM). Cell therapy offers great potential for the treatment of POAG, but requires the generation of functional TM cells in vitro to replace the lost/dysfunctional cells. TM differe...

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Main Authors: Sathiyanathan, Padmapriya, Tay, Cheryl Y., Stanton, Lawrence W.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/84956
http://hdl.handle.net/10220/43607
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-849562023-02-28T16:58:52Z Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation Sathiyanathan, Padmapriya Tay, Cheryl Y. Stanton, Lawrence W. School of Biological Sciences Human trabecular meshwork Markers Background: Development of primary open-angle glaucoma (POAG) is associated with the malfunctioning trabecular meshwork (TM). Cell therapy offers great potential for the treatment of POAG, but requires the generation of functional TM cells in vitro to replace the lost/dysfunctional cells. TM differentiation in vitro from various stem cell types must be monitored by the expression of specific markers. However, no single definitive marker of the TM has been identified. Results: To identify robust markers of TM differentiation, we performed global transcriptome profiling using high-density oligonucleotide microarray on ex vivo TM tissue and cultured TM progenitors. Corneal and scleral tissues were also used in the analysis. After removal of genes expressed in the cornea and sclera, 18 genes were identified that were differentially expressed in the TM relative to the other samples. CDH23, F5, KCNAB1, FGF9, SPP1, and HEY1 were selected among the genes highly expressed in the TM, together with BDNF which was repressed, compared to progenitors for further investigation. Expression analysis by qPCR verified the differential expression and immunofluorescence of the anterior segment confirmed strong expression in the TM. Conclusions: Three independent cohort of expression studies have identified novel markers, fitting in identifying TM cells and in evaluating directed TM differentiation in vitro. ASTAR (Agency for Sci., Tech. and Research, S’pore) Published version 2017-08-18T01:29:20Z 2019-12-06T15:54:20Z 2017-08-18T01:29:20Z 2019-12-06T15:54:20Z 2017 Journal Article Sathiyanathan, P., Tay, C. Y., & Stanton, L. W. (2017). Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation. BMC Genomics, 18, 383-. https://hdl.handle.net/10356/84956 http://hdl.handle.net/10220/43607 10.1186/s12864-017-3758-7 en BMC Genomics © 2017 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 13 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Human trabecular meshwork
Markers
spellingShingle Human trabecular meshwork
Markers
Sathiyanathan, Padmapriya
Tay, Cheryl Y.
Stanton, Lawrence W.
Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
description Background: Development of primary open-angle glaucoma (POAG) is associated with the malfunctioning trabecular meshwork (TM). Cell therapy offers great potential for the treatment of POAG, but requires the generation of functional TM cells in vitro to replace the lost/dysfunctional cells. TM differentiation in vitro from various stem cell types must be monitored by the expression of specific markers. However, no single definitive marker of the TM has been identified. Results: To identify robust markers of TM differentiation, we performed global transcriptome profiling using high-density oligonucleotide microarray on ex vivo TM tissue and cultured TM progenitors. Corneal and scleral tissues were also used in the analysis. After removal of genes expressed in the cornea and sclera, 18 genes were identified that were differentially expressed in the TM relative to the other samples. CDH23, F5, KCNAB1, FGF9, SPP1, and HEY1 were selected among the genes highly expressed in the TM, together with BDNF which was repressed, compared to progenitors for further investigation. Expression analysis by qPCR verified the differential expression and immunofluorescence of the anterior segment confirmed strong expression in the TM. Conclusions: Three independent cohort of expression studies have identified novel markers, fitting in identifying TM cells and in evaluating directed TM differentiation in vitro.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Sathiyanathan, Padmapriya
Tay, Cheryl Y.
Stanton, Lawrence W.
format Article
author Sathiyanathan, Padmapriya
Tay, Cheryl Y.
Stanton, Lawrence W.
author_sort Sathiyanathan, Padmapriya
title Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
title_short Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
title_full Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
title_fullStr Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
title_full_unstemmed Transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
title_sort transcriptome analysis for the identification of cellular markers related to trabecular meshwork differentiation
publishDate 2017
url https://hdl.handle.net/10356/84956
http://hdl.handle.net/10220/43607
_version_ 1759857727728779264