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A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity
BACKGROUND: Large scale transcript analysis of human glomerular microvascular endothelial cells (HGMEC) has never been accomplished. We designed this study to define the transcriptome of HGMEC and facilitate a better characterization of these endothelial cells with unique features. Serial analysis o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156628/ https://www.ncbi.nlm.nih.gov/pubmed/25163811 http://dx.doi.org/10.1186/1471-2164-15-725 |
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author | Sengoelge, Guerkan Winnicki, Wolfgang Kupczok, Anne von Haeseler, Arndt Schuster, Michael Pfaller, Walter Jennings, Paul Weltermann, Ansgar Blake, Sophia Sunder-Plassmann, Gere |
author_facet | Sengoelge, Guerkan Winnicki, Wolfgang Kupczok, Anne von Haeseler, Arndt Schuster, Michael Pfaller, Walter Jennings, Paul Weltermann, Ansgar Blake, Sophia Sunder-Plassmann, Gere |
author_sort | Sengoelge, Guerkan |
collection | PubMed |
description | BACKGROUND: Large scale transcript analysis of human glomerular microvascular endothelial cells (HGMEC) has never been accomplished. We designed this study to define the transcriptome of HGMEC and facilitate a better characterization of these endothelial cells with unique features. Serial analysis of gene expression (SAGE) was used for its unbiased approach to quantitative acquisition of transcripts. RESULTS: We generated a HGMEC SAGE library consisting of 68,987 transcript tags. Then taking advantage of large public databases and advanced bioinformatics we compared the HGMEC SAGE library with a SAGE library of non-cultured ex vivo human glomeruli (44,334 tags) which contained endothelial cells. The 823 tags common to both which would have the potential to be expressed in vivo were subsequently checked against 822,008 tags from 16 non-glomerular endothelial SAGE libraries. This resulted in 268 transcript tags differentially overexpressed in HGMEC compared to non-glomerular endothelia. These tags were filtered using a set of criteria: never before shown in kidney or any type of endothelial cell, absent in all nephron regions except the glomerulus, more highly expressed than statistically expected in HGMEC. Neurogranin, a direct target of thyroid hormone action which had been thought to be brain specific and never shown in endothelial cells before, fulfilled these criteria. Its expression in glomerular endothelium in vitro and in vivo was then verified by real-time-PCR, sequencing and immunohistochemistry. CONCLUSIONS: Our results represent an extensive molecular characterization of HGMEC beyond a mere database, underline the endothelial heterogeneity, and propose neurogranin as a potential link in the kidney-thyroid axis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-725) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4156628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41566282014-09-19 A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity Sengoelge, Guerkan Winnicki, Wolfgang Kupczok, Anne von Haeseler, Arndt Schuster, Michael Pfaller, Walter Jennings, Paul Weltermann, Ansgar Blake, Sophia Sunder-Plassmann, Gere BMC Genomics Research Article BACKGROUND: Large scale transcript analysis of human glomerular microvascular endothelial cells (HGMEC) has never been accomplished. We designed this study to define the transcriptome of HGMEC and facilitate a better characterization of these endothelial cells with unique features. Serial analysis of gene expression (SAGE) was used for its unbiased approach to quantitative acquisition of transcripts. RESULTS: We generated a HGMEC SAGE library consisting of 68,987 transcript tags. Then taking advantage of large public databases and advanced bioinformatics we compared the HGMEC SAGE library with a SAGE library of non-cultured ex vivo human glomeruli (44,334 tags) which contained endothelial cells. The 823 tags common to both which would have the potential to be expressed in vivo were subsequently checked against 822,008 tags from 16 non-glomerular endothelial SAGE libraries. This resulted in 268 transcript tags differentially overexpressed in HGMEC compared to non-glomerular endothelia. These tags were filtered using a set of criteria: never before shown in kidney or any type of endothelial cell, absent in all nephron regions except the glomerulus, more highly expressed than statistically expected in HGMEC. Neurogranin, a direct target of thyroid hormone action which had been thought to be brain specific and never shown in endothelial cells before, fulfilled these criteria. Its expression in glomerular endothelium in vitro and in vivo was then verified by real-time-PCR, sequencing and immunohistochemistry. CONCLUSIONS: Our results represent an extensive molecular characterization of HGMEC beyond a mere database, underline the endothelial heterogeneity, and propose neurogranin as a potential link in the kidney-thyroid axis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-725) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-27 /pmc/articles/PMC4156628/ /pubmed/25163811 http://dx.doi.org/10.1186/1471-2164-15-725 Text en © Sengoelge et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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. |
spellingShingle | Research Article Sengoelge, Guerkan Winnicki, Wolfgang Kupczok, Anne von Haeseler, Arndt Schuster, Michael Pfaller, Walter Jennings, Paul Weltermann, Ansgar Blake, Sophia Sunder-Plassmann, Gere A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title | A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title_full | A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title_fullStr | A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title_full_unstemmed | A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title_short | A SAGE based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
title_sort | sage based approach to human glomerular endothelium: defining the transcriptome, finding a novel molecule and highlighting endothelial diversity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156628/ https://www.ncbi.nlm.nih.gov/pubmed/25163811 http://dx.doi.org/10.1186/1471-2164-15-725 |
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