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Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration
Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. The molecular basis of the retinal defect can potentially be determined by gene-expression profiling of the whole retina. In this study, we measur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726315/ https://www.ncbi.nlm.nih.gov/pubmed/29231925 http://dx.doi.org/10.1038/sdata.2017.182 |
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author | Zhang, Liyun Zhang, Xinlian Zhang, Gaonan Pang, Chi Pui Leung, Yuk Fai Zhang, Mingzhi Zhong, Wenxuan |
author_facet | Zhang, Liyun Zhang, Xinlian Zhang, Gaonan Pang, Chi Pui Leung, Yuk Fai Zhang, Mingzhi Zhong, Wenxuan |
author_sort | Zhang, Liyun |
collection | PubMed |
description | Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. The molecular basis of the retinal defect can potentially be determined by gene-expression profiling of the whole retina. In this study, we measured the gene-expression profile of retinas microdissected from a zebrafish pde6c(w59) (pde6c) mutant. This retinal-degeneration model not only displays cone degeneration caused by a cone-specific mutation, but also other secondary cellular changes starting from 4 days postfertilization (dpf). To capture the underlying molecular changes, we subjected pde6c and wild-type (WT) retinas at 5 dpf/ 120 h postfertilization (hpf) to RNA sequencing (RNA-Seq) on the Illumina HiSeq 2,000 platform. We also validated the RNA-Seq results by Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) of seven phototransduction genes. Our analyses indicate that the RNA-Seq dataset was of high quality, and effectively captured the molecular changes in the whole pde6c retina. This dataset will facilitate the characterization of the molecular defects in the pde6c retina at the initial stage of retinal degeneration. |
format | Online Article Text |
id | pubmed-5726315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-57263152017-12-14 Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration Zhang, Liyun Zhang, Xinlian Zhang, Gaonan Pang, Chi Pui Leung, Yuk Fai Zhang, Mingzhi Zhong, Wenxuan Sci Data Data Descriptor Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. The molecular basis of the retinal defect can potentially be determined by gene-expression profiling of the whole retina. In this study, we measured the gene-expression profile of retinas microdissected from a zebrafish pde6c(w59) (pde6c) mutant. This retinal-degeneration model not only displays cone degeneration caused by a cone-specific mutation, but also other secondary cellular changes starting from 4 days postfertilization (dpf). To capture the underlying molecular changes, we subjected pde6c and wild-type (WT) retinas at 5 dpf/ 120 h postfertilization (hpf) to RNA sequencing (RNA-Seq) on the Illumina HiSeq 2,000 platform. We also validated the RNA-Seq results by Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) of seven phototransduction genes. Our analyses indicate that the RNA-Seq dataset was of high quality, and effectively captured the molecular changes in the whole pde6c retina. This dataset will facilitate the characterization of the molecular defects in the pde6c retina at the initial stage of retinal degeneration. Nature Publishing Group 2017-12-12 /pmc/articles/PMC5726315/ /pubmed/29231925 http://dx.doi.org/10.1038/sdata.2017.182 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Zhang, Liyun Zhang, Xinlian Zhang, Gaonan Pang, Chi Pui Leung, Yuk Fai Zhang, Mingzhi Zhong, Wenxuan Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title | Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title_full | Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title_fullStr | Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title_full_unstemmed | Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title_short | Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
title_sort | expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726315/ https://www.ncbi.nlm.nih.gov/pubmed/29231925 http://dx.doi.org/10.1038/sdata.2017.182 |
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