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An atlas of gene expression and gene co-regulation in the human retina
The human retina is a specialized tissue involved in light stimulus transduction. Despite its unique biology, an accurate reference transcriptome is still missing. Here, we performed gene expression analysis (RNA-seq) of 50 retinal samples from non-visually impaired post-mortem donors. We identified...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937338/ https://www.ncbi.nlm.nih.gov/pubmed/27235414 http://dx.doi.org/10.1093/nar/gkw486 |
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author | Pinelli, Michele Carissimo, Annamaria Cutillo, Luisa Lai, Ching-Hung Mutarelli, Margherita Moretti, Maria Nicoletta Singh, Marwah Veer Karali, Marianthi Carrella, Diego Pizzo, Mariateresa Russo, Francesco Ferrari, Stefano Ponzin, Diego Angelini, Claudia Banfi, Sandro di Bernardo, Diego |
author_facet | Pinelli, Michele Carissimo, Annamaria Cutillo, Luisa Lai, Ching-Hung Mutarelli, Margherita Moretti, Maria Nicoletta Singh, Marwah Veer Karali, Marianthi Carrella, Diego Pizzo, Mariateresa Russo, Francesco Ferrari, Stefano Ponzin, Diego Angelini, Claudia Banfi, Sandro di Bernardo, Diego |
author_sort | Pinelli, Michele |
collection | PubMed |
description | The human retina is a specialized tissue involved in light stimulus transduction. Despite its unique biology, an accurate reference transcriptome is still missing. Here, we performed gene expression analysis (RNA-seq) of 50 retinal samples from non-visually impaired post-mortem donors. We identified novel transcripts with high confidence (Observed Transcriptome (ObsT)) and quantified the expression level of known transcripts (Reference Transcriptome (RefT)). The ObsT included 77 623 transcripts (23 960 genes) covering 137 Mb (35 Mb new transcribed genome). Most of the transcripts (92%) were multi-exonic: 81% with known isoforms, 16% with new isoforms and 3% belonging to new genes. The RefT included 13 792 genes across 94 521 known transcripts. Mitochondrial genes were among the most highly expressed, accounting for about 10% of the reads. Of all the protein-coding genes in Gencode, 65% are expressed in the retina. We exploited inter-individual variability in gene expression to infer a gene co-expression network and to identify genes specifically expressed in photoreceptor cells. We experimentally validated the photoreceptors localization of three genes in human retina that had not been previously reported. RNA-seq data and the gene co-expression network are available online (http://retina.tigem.it). |
format | Online Article Text |
id | pubmed-4937338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49373382016-07-11 An atlas of gene expression and gene co-regulation in the human retina Pinelli, Michele Carissimo, Annamaria Cutillo, Luisa Lai, Ching-Hung Mutarelli, Margherita Moretti, Maria Nicoletta Singh, Marwah Veer Karali, Marianthi Carrella, Diego Pizzo, Mariateresa Russo, Francesco Ferrari, Stefano Ponzin, Diego Angelini, Claudia Banfi, Sandro di Bernardo, Diego Nucleic Acids Res Genomics The human retina is a specialized tissue involved in light stimulus transduction. Despite its unique biology, an accurate reference transcriptome is still missing. Here, we performed gene expression analysis (RNA-seq) of 50 retinal samples from non-visually impaired post-mortem donors. We identified novel transcripts with high confidence (Observed Transcriptome (ObsT)) and quantified the expression level of known transcripts (Reference Transcriptome (RefT)). The ObsT included 77 623 transcripts (23 960 genes) covering 137 Mb (35 Mb new transcribed genome). Most of the transcripts (92%) were multi-exonic: 81% with known isoforms, 16% with new isoforms and 3% belonging to new genes. The RefT included 13 792 genes across 94 521 known transcripts. Mitochondrial genes were among the most highly expressed, accounting for about 10% of the reads. Of all the protein-coding genes in Gencode, 65% are expressed in the retina. We exploited inter-individual variability in gene expression to infer a gene co-expression network and to identify genes specifically expressed in photoreceptor cells. We experimentally validated the photoreceptors localization of three genes in human retina that had not been previously reported. RNA-seq data and the gene co-expression network are available online (http://retina.tigem.it). Oxford University Press 2016-07-08 2016-05-27 /pmc/articles/PMC4937338/ /pubmed/27235414 http://dx.doi.org/10.1093/nar/gkw486 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomics Pinelli, Michele Carissimo, Annamaria Cutillo, Luisa Lai, Ching-Hung Mutarelli, Margherita Moretti, Maria Nicoletta Singh, Marwah Veer Karali, Marianthi Carrella, Diego Pizzo, Mariateresa Russo, Francesco Ferrari, Stefano Ponzin, Diego Angelini, Claudia Banfi, Sandro di Bernardo, Diego An atlas of gene expression and gene co-regulation in the human retina |
title | An atlas of gene expression and gene co-regulation in the human retina |
title_full | An atlas of gene expression and gene co-regulation in the human retina |
title_fullStr | An atlas of gene expression and gene co-regulation in the human retina |
title_full_unstemmed | An atlas of gene expression and gene co-regulation in the human retina |
title_short | An atlas of gene expression and gene co-regulation in the human retina |
title_sort | atlas of gene expression and gene co-regulation in the human retina |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937338/ https://www.ncbi.nlm.nih.gov/pubmed/27235414 http://dx.doi.org/10.1093/nar/gkw486 |
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