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Genomic Analysis of Mouse Retinal Development

The vertebrate retina is comprised of seven major cell types that are generated in overlapping but well-defined intervals. To identify genes that might regulate retinal development, gene expression in the developing retina was profiled at multiple time points using serial analysis of gene expression...

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Autores principales: Blackshaw, Seth, Harpavat, Sanjiv, Trimarchi, Jeff, Cai, Li, Huang, Haiyan, Kuo, Winston P, Weber, Griffin, Lee, Kyungjoon, Fraioli, Rebecca E, Cho, Seo-Hee, Yung, Rachel, Asch, Elizabeth, Ohno-Machado, Lucila, Wong, Wing H, Cepko, Constance L
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC439783/
https://www.ncbi.nlm.nih.gov/pubmed/15226823
http://dx.doi.org/10.1371/journal.pbio.0020247
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author Blackshaw, Seth
Harpavat, Sanjiv
Trimarchi, Jeff
Cai, Li
Huang, Haiyan
Kuo, Winston P
Weber, Griffin
Lee, Kyungjoon
Fraioli, Rebecca E
Cho, Seo-Hee
Yung, Rachel
Asch, Elizabeth
Ohno-Machado, Lucila
Wong, Wing H
Cepko, Constance L
author_facet Blackshaw, Seth
Harpavat, Sanjiv
Trimarchi, Jeff
Cai, Li
Huang, Haiyan
Kuo, Winston P
Weber, Griffin
Lee, Kyungjoon
Fraioli, Rebecca E
Cho, Seo-Hee
Yung, Rachel
Asch, Elizabeth
Ohno-Machado, Lucila
Wong, Wing H
Cepko, Constance L
author_sort Blackshaw, Seth
collection PubMed
description The vertebrate retina is comprised of seven major cell types that are generated in overlapping but well-defined intervals. To identify genes that might regulate retinal development, gene expression in the developing retina was profiled at multiple time points using serial analysis of gene expression (SAGE). The expression patterns of 1,051 genes that showed developmentally dynamic expression by SAGE were investigated using in situ hybridization. A molecular atlas of gene expression in the developing and mature retina was thereby constructed, along with a taxonomic classification of developmental gene expression patterns. Genes were identified that label both temporal and spatial subsets of mitotic progenitor cells. For each developing and mature major retinal cell type, genes selectively expressed in that cell type were identified. The gene expression profiles of retinal Müller glia and mitotic progenitor cells were found to be highly similar, suggesting that Müller glia might serve to produce multiple retinal cell types under the right conditions. In addition, multiple transcripts that were evolutionarily conserved that did not appear to encode open reading frames of more than 100 amino acids in length (“noncoding RNAs”) were found to be dynamically and specifically expressed in developing and mature retinal cell types. Finally, many photoreceptor-enriched genes that mapped to chromosomal intervals containing retinal disease genes were identified. These data serve as a starting point for functional investigations of the roles of these genes in retinal development and physiology.
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spelling pubmed-4397832004-06-29 Genomic Analysis of Mouse Retinal Development Blackshaw, Seth Harpavat, Sanjiv Trimarchi, Jeff Cai, Li Huang, Haiyan Kuo, Winston P Weber, Griffin Lee, Kyungjoon Fraioli, Rebecca E Cho, Seo-Hee Yung, Rachel Asch, Elizabeth Ohno-Machado, Lucila Wong, Wing H Cepko, Constance L PLoS Biol Research Article The vertebrate retina is comprised of seven major cell types that are generated in overlapping but well-defined intervals. To identify genes that might regulate retinal development, gene expression in the developing retina was profiled at multiple time points using serial analysis of gene expression (SAGE). The expression patterns of 1,051 genes that showed developmentally dynamic expression by SAGE were investigated using in situ hybridization. A molecular atlas of gene expression in the developing and mature retina was thereby constructed, along with a taxonomic classification of developmental gene expression patterns. Genes were identified that label both temporal and spatial subsets of mitotic progenitor cells. For each developing and mature major retinal cell type, genes selectively expressed in that cell type were identified. The gene expression profiles of retinal Müller glia and mitotic progenitor cells were found to be highly similar, suggesting that Müller glia might serve to produce multiple retinal cell types under the right conditions. In addition, multiple transcripts that were evolutionarily conserved that did not appear to encode open reading frames of more than 100 amino acids in length (“noncoding RNAs”) were found to be dynamically and specifically expressed in developing and mature retinal cell types. Finally, many photoreceptor-enriched genes that mapped to chromosomal intervals containing retinal disease genes were identified. These data serve as a starting point for functional investigations of the roles of these genes in retinal development and physiology. Public Library of Science 2004-09 2004-06-29 /pmc/articles/PMC439783/ /pubmed/15226823 http://dx.doi.org/10.1371/journal.pbio.0020247 Text en Copyright: © 2004 Blackshaw et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Blackshaw, Seth
Harpavat, Sanjiv
Trimarchi, Jeff
Cai, Li
Huang, Haiyan
Kuo, Winston P
Weber, Griffin
Lee, Kyungjoon
Fraioli, Rebecca E
Cho, Seo-Hee
Yung, Rachel
Asch, Elizabeth
Ohno-Machado, Lucila
Wong, Wing H
Cepko, Constance L
Genomic Analysis of Mouse Retinal Development
title Genomic Analysis of Mouse Retinal Development
title_full Genomic Analysis of Mouse Retinal Development
title_fullStr Genomic Analysis of Mouse Retinal Development
title_full_unstemmed Genomic Analysis of Mouse Retinal Development
title_short Genomic Analysis of Mouse Retinal Development
title_sort genomic analysis of mouse retinal development
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC439783/
https://www.ncbi.nlm.nih.gov/pubmed/15226823
http://dx.doi.org/10.1371/journal.pbio.0020247
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