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Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe
BACKGROUND: Gene expression analysis using RNA sequencing has helped to improve the understanding of many diseases. Databases, such as the Gene Expression Omnibus database of the National Center for Biotechnology Information provide RNA sequencing raw data from various diseased tissue types but thei...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Medizin
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863098/ https://www.ncbi.nlm.nih.gov/pubmed/35194679 http://dx.doi.org/10.1007/s00347-022-01592-9 |
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author | Wolf, Julian Lapp, Thabo Reinhard, Thomas Agostini, Hansjürgen Schlunck, Günther Lange, Clemens |
author_facet | Wolf, Julian Lapp, Thabo Reinhard, Thomas Agostini, Hansjürgen Schlunck, Günther Lange, Clemens |
author_sort | Wolf, Julian |
collection | PubMed |
description | BACKGROUND: Gene expression analysis using RNA sequencing has helped to improve the understanding of many diseases. Databases, such as the Gene Expression Omnibus database of the National Center for Biotechnology Information provide RNA sequencing raw data from various diseased tissue types but their analysis requires advanced bioinformatics skills. Therefore, specific ocular databases provide the transcriptional profiles of different ocular tissues and in addition enable intuitive web-based data analysis. OBJECTIVE: The aim of this narrative review is to provide an overview of ocular transcriptome databases and to compare them with the Human Eye Transcriptome Atlas newly established in Freiburg. METHODS: PubMed literature search. RESULTS: A total of nine ocular transcriptome databases focusing on different aspects were identified. The iSyTE and Express platforms specialize in gene expression during lens and retinal development in mice, whereas retina.tigem.it, Eye in a Disk, and Spectacle focus on selected ocular tissues such as the retina. Spectacle, UCSC Cell Browser and Single Cell Portal allow intuitive exploration of single cell RNA sequencing data derived from retinal, choroid, cornea, iris, trabecular meshwork and sclera specimens. The microarray profiles of a variety of healthy ocular tissues are included in the Ocular Tissue Database. The Human Eye Transcriptome Atlas provides the largest collection of different ocular tissue types, contains the highest number of ocular diseases and is characterized by a high level of quality achieved by methodological consistency. CONCLUSION: Ocular transcriptome databases provide comprehensive and intuitive insights into the transcriptional profiles of a variety of healthy and diseased ocular tissues. Thus, they improve our understanding of the underlying molecular mediators, support hypothesis generation and help in the search for new diagnostic and therapeutic targets for various ocular diseases. |
format | Online Article Text |
id | pubmed-8863098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Medizin |
record_format | MEDLINE/PubMed |
spelling | pubmed-88630982022-02-23 Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe Wolf, Julian Lapp, Thabo Reinhard, Thomas Agostini, Hansjürgen Schlunck, Günther Lange, Clemens Ophthalmologie Übersichten BACKGROUND: Gene expression analysis using RNA sequencing has helped to improve the understanding of many diseases. Databases, such as the Gene Expression Omnibus database of the National Center for Biotechnology Information provide RNA sequencing raw data from various diseased tissue types but their analysis requires advanced bioinformatics skills. Therefore, specific ocular databases provide the transcriptional profiles of different ocular tissues and in addition enable intuitive web-based data analysis. OBJECTIVE: The aim of this narrative review is to provide an overview of ocular transcriptome databases and to compare them with the Human Eye Transcriptome Atlas newly established in Freiburg. METHODS: PubMed literature search. RESULTS: A total of nine ocular transcriptome databases focusing on different aspects were identified. The iSyTE and Express platforms specialize in gene expression during lens and retinal development in mice, whereas retina.tigem.it, Eye in a Disk, and Spectacle focus on selected ocular tissues such as the retina. Spectacle, UCSC Cell Browser and Single Cell Portal allow intuitive exploration of single cell RNA sequencing data derived from retinal, choroid, cornea, iris, trabecular meshwork and sclera specimens. The microarray profiles of a variety of healthy ocular tissues are included in the Ocular Tissue Database. The Human Eye Transcriptome Atlas provides the largest collection of different ocular tissue types, contains the highest number of ocular diseases and is characterized by a high level of quality achieved by methodological consistency. CONCLUSION: Ocular transcriptome databases provide comprehensive and intuitive insights into the transcriptional profiles of a variety of healthy and diseased ocular tissues. Thus, they improve our understanding of the underlying molecular mediators, support hypothesis generation and help in the search for new diagnostic and therapeutic targets for various ocular diseases. Springer Medizin 2022-02-22 2022 /pmc/articles/PMC8863098/ /pubmed/35194679 http://dx.doi.org/10.1007/s00347-022-01592-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Übersichten Wolf, Julian Lapp, Thabo Reinhard, Thomas Agostini, Hansjürgen Schlunck, Günther Lange, Clemens Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title | Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title_full | Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title_fullStr | Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title_full_unstemmed | Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title_short | Webbasierte Genexpressionsanalysen – auf dem Weg zur molekularen Entschlüsselung gesunder und erkrankter Augengewebe |
title_sort | webbasierte genexpressionsanalysen – auf dem weg zur molekularen entschlüsselung gesunder und erkrankter augengewebe |
topic | Übersichten |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863098/ https://www.ncbi.nlm.nih.gov/pubmed/35194679 http://dx.doi.org/10.1007/s00347-022-01592-9 |
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