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A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
Ascertaining when and where genes are expressed is of crucial importance to understanding or predicting the physiological role of genes and proteins and how they interact to form the complex networks that underlie organ development and function. It is, therefore, crucial to determine on a genome-wid...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022534/ https://www.ncbi.nlm.nih.gov/pubmed/21267068 http://dx.doi.org/10.1371/journal.pbio.1000582 |
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author | Diez-Roux, Graciana Banfi, Sandro Sultan, Marc Geffers, Lars Anand, Santosh Rozado, David Magen, Alon Canidio, Elena Pagani, Massimiliano Peluso, Ivana Lin-Marq, Nathalie Koch, Muriel Bilio, Marchesa Cantiello, Immacolata Verde, Roberta De Masi, Cristian Bianchi, Salvatore A. Cicchini, Juliette Perroud, Elodie Mehmeti, Shprese Dagand, Emilie Schrinner, Sabine Nürnberger, Asja Schmidt, Katja Metz, Katja Zwingmann, Christina Brieske, Norbert Springer, Cindy Hernandez, Ana Martinez Herzog, Sarah Grabbe, Frauke Sieverding, Cornelia Fischer, Barbara Schrader, Kathrin Brockmeyer, Maren Dettmer, Sarah Helbig, Christin Alunni, Violaine Battaini, Marie-Annick Mura, Carole Henrichsen, Charlotte N. Garcia-Lopez, Raquel Echevarria, Diego Puelles, Eduardo Garcia-Calero, Elena Kruse, Stefan Uhr, Markus Kauck, Christine Feng, Guangjie Milyaev, Nestor Ong, Chuang Kee Kumar, Lalit Lam, MeiSze Semple, Colin A. Gyenesei, Attila Mundlos, Stefan Radelof, Uwe Lehrach, Hans Sarmientos, Paolo Reymond, Alexandre Davidson, Duncan R. Dollé, Pascal Antonarakis, Stylianos E. Yaspo, Marie-Laure Martinez, Salvador Baldock, Richard A. Eichele, Gregor Ballabio, Andrea |
author_facet | Diez-Roux, Graciana Banfi, Sandro Sultan, Marc Geffers, Lars Anand, Santosh Rozado, David Magen, Alon Canidio, Elena Pagani, Massimiliano Peluso, Ivana Lin-Marq, Nathalie Koch, Muriel Bilio, Marchesa Cantiello, Immacolata Verde, Roberta De Masi, Cristian Bianchi, Salvatore A. Cicchini, Juliette Perroud, Elodie Mehmeti, Shprese Dagand, Emilie Schrinner, Sabine Nürnberger, Asja Schmidt, Katja Metz, Katja Zwingmann, Christina Brieske, Norbert Springer, Cindy Hernandez, Ana Martinez Herzog, Sarah Grabbe, Frauke Sieverding, Cornelia Fischer, Barbara Schrader, Kathrin Brockmeyer, Maren Dettmer, Sarah Helbig, Christin Alunni, Violaine Battaini, Marie-Annick Mura, Carole Henrichsen, Charlotte N. Garcia-Lopez, Raquel Echevarria, Diego Puelles, Eduardo Garcia-Calero, Elena Kruse, Stefan Uhr, Markus Kauck, Christine Feng, Guangjie Milyaev, Nestor Ong, Chuang Kee Kumar, Lalit Lam, MeiSze Semple, Colin A. Gyenesei, Attila Mundlos, Stefan Radelof, Uwe Lehrach, Hans Sarmientos, Paolo Reymond, Alexandre Davidson, Duncan R. Dollé, Pascal Antonarakis, Stylianos E. Yaspo, Marie-Laure Martinez, Salvador Baldock, Richard A. Eichele, Gregor Ballabio, Andrea |
author_sort | Diez-Roux, Graciana |
collection | PubMed |
description | Ascertaining when and where genes are expressed is of crucial importance to understanding or predicting the physiological role of genes and proteins and how they interact to form the complex networks that underlie organ development and function. It is, therefore, crucial to determine on a genome-wide level, the spatio-temporal gene expression profiles at cellular resolution. This information is provided by colorimetric RNA in situ hybridization that can elucidate expression of genes in their native context and does so at cellular resolution. We generated what is to our knowledge the first genome-wide transcriptome atlas by RNA in situ hybridization of an entire mammalian organism, the developing mouse at embryonic day 14.5. This digital transcriptome atlas, the Eurexpress atlas (http://www.eurexpress.org), consists of a searchable database of annotated images that can be interactively viewed. We generated anatomy-based expression profiles for over 18,000 coding genes and over 400 microRNAs. We identified 1,002 tissue-specific genes that are a source of novel tissue-specific markers for 37 different anatomical structures. The quality and the resolution of the data revealed novel molecular domains for several developing structures, such as the telencephalon, a novel organization for the hypothalamus, and insight on the Wnt network involved in renal epithelial differentiation during kidney development. The digital transcriptome atlas is a powerful resource to determine co-expression of genes, to identify cell populations and lineages, and to identify functional associations between genes relevant to development and disease. |
format | Text |
id | pubmed-3022534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30225342011-01-25 A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo Diez-Roux, Graciana Banfi, Sandro Sultan, Marc Geffers, Lars Anand, Santosh Rozado, David Magen, Alon Canidio, Elena Pagani, Massimiliano Peluso, Ivana Lin-Marq, Nathalie Koch, Muriel Bilio, Marchesa Cantiello, Immacolata Verde, Roberta De Masi, Cristian Bianchi, Salvatore A. Cicchini, Juliette Perroud, Elodie Mehmeti, Shprese Dagand, Emilie Schrinner, Sabine Nürnberger, Asja Schmidt, Katja Metz, Katja Zwingmann, Christina Brieske, Norbert Springer, Cindy Hernandez, Ana Martinez Herzog, Sarah Grabbe, Frauke Sieverding, Cornelia Fischer, Barbara Schrader, Kathrin Brockmeyer, Maren Dettmer, Sarah Helbig, Christin Alunni, Violaine Battaini, Marie-Annick Mura, Carole Henrichsen, Charlotte N. Garcia-Lopez, Raquel Echevarria, Diego Puelles, Eduardo Garcia-Calero, Elena Kruse, Stefan Uhr, Markus Kauck, Christine Feng, Guangjie Milyaev, Nestor Ong, Chuang Kee Kumar, Lalit Lam, MeiSze Semple, Colin A. Gyenesei, Attila Mundlos, Stefan Radelof, Uwe Lehrach, Hans Sarmientos, Paolo Reymond, Alexandre Davidson, Duncan R. Dollé, Pascal Antonarakis, Stylianos E. Yaspo, Marie-Laure Martinez, Salvador Baldock, Richard A. Eichele, Gregor Ballabio, Andrea PLoS Biol Research Article Ascertaining when and where genes are expressed is of crucial importance to understanding or predicting the physiological role of genes and proteins and how they interact to form the complex networks that underlie organ development and function. It is, therefore, crucial to determine on a genome-wide level, the spatio-temporal gene expression profiles at cellular resolution. This information is provided by colorimetric RNA in situ hybridization that can elucidate expression of genes in their native context and does so at cellular resolution. We generated what is to our knowledge the first genome-wide transcriptome atlas by RNA in situ hybridization of an entire mammalian organism, the developing mouse at embryonic day 14.5. This digital transcriptome atlas, the Eurexpress atlas (http://www.eurexpress.org), consists of a searchable database of annotated images that can be interactively viewed. We generated anatomy-based expression profiles for over 18,000 coding genes and over 400 microRNAs. We identified 1,002 tissue-specific genes that are a source of novel tissue-specific markers for 37 different anatomical structures. The quality and the resolution of the data revealed novel molecular domains for several developing structures, such as the telencephalon, a novel organization for the hypothalamus, and insight on the Wnt network involved in renal epithelial differentiation during kidney development. The digital transcriptome atlas is a powerful resource to determine co-expression of genes, to identify cell populations and lineages, and to identify functional associations between genes relevant to development and disease. Public Library of Science 2011-01-18 /pmc/articles/PMC3022534/ /pubmed/21267068 http://dx.doi.org/10.1371/journal.pbio.1000582 Text en Diez-Roux 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 Diez-Roux, Graciana Banfi, Sandro Sultan, Marc Geffers, Lars Anand, Santosh Rozado, David Magen, Alon Canidio, Elena Pagani, Massimiliano Peluso, Ivana Lin-Marq, Nathalie Koch, Muriel Bilio, Marchesa Cantiello, Immacolata Verde, Roberta De Masi, Cristian Bianchi, Salvatore A. Cicchini, Juliette Perroud, Elodie Mehmeti, Shprese Dagand, Emilie Schrinner, Sabine Nürnberger, Asja Schmidt, Katja Metz, Katja Zwingmann, Christina Brieske, Norbert Springer, Cindy Hernandez, Ana Martinez Herzog, Sarah Grabbe, Frauke Sieverding, Cornelia Fischer, Barbara Schrader, Kathrin Brockmeyer, Maren Dettmer, Sarah Helbig, Christin Alunni, Violaine Battaini, Marie-Annick Mura, Carole Henrichsen, Charlotte N. Garcia-Lopez, Raquel Echevarria, Diego Puelles, Eduardo Garcia-Calero, Elena Kruse, Stefan Uhr, Markus Kauck, Christine Feng, Guangjie Milyaev, Nestor Ong, Chuang Kee Kumar, Lalit Lam, MeiSze Semple, Colin A. Gyenesei, Attila Mundlos, Stefan Radelof, Uwe Lehrach, Hans Sarmientos, Paolo Reymond, Alexandre Davidson, Duncan R. Dollé, Pascal Antonarakis, Stylianos E. Yaspo, Marie-Laure Martinez, Salvador Baldock, Richard A. Eichele, Gregor Ballabio, Andrea A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title | A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title_full | A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title_fullStr | A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title_full_unstemmed | A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title_short | A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo |
title_sort | high-resolution anatomical atlas of the transcriptome in the mouse embryo |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022534/ https://www.ncbi.nlm.nih.gov/pubmed/21267068 http://dx.doi.org/10.1371/journal.pbio.1000582 |
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