Cited by 638Developmental Biology and Gene RegulationSingle-cell and spatial transcriptomicsGene expression and cancer classification

A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo

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Diez-Roux, Graciana, Banfi, Sandro, Sultan, Marc, Geffers, Lars, Anand, Santosh, Rozado, David, Magen, Alon, Canidio, Elena +60 more·2011·PLoS Biology

Abstract

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.

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  • In rodents, brain- and transcriptome-wide cellular-resolution maps of transcript distributions are useful resources to complement genomic sequence data.

    “In rodents, brain- and transcriptome-wide, cellular-resolution maps of transcript distributions are widely useful resources to complement genomic sequence data1, 2, 3.”

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Authors
Diez-Roux, G., Banfi, S., Sultan, M., Geffers, L., Anand, S., Rozado, D., Magen, A., Canidio, E., Pagani, M., Peluso, I., Lin-Marq, N., Koch, M., Bilio, M., Cantiello, I., Verde, R., De Masi, C., Bianchi, S. A., Cicchini, J., Perroud, E., Mehmeti, S., Dagand, E., Schrinner, S., Nürnberger, A., Schmidt, K., Metz, K., Zwingmann, C., Brieske, N., Springer, C., Hernandez, A. M., Herzog, S., Grabbe, F., Sieverding, C., Fischer, B., Schrader, K., Brockmeyer, M., Dettmer, S., Helbig, C., Alunni, V., Battaini, M.-A., Mura, C., Henrichsen, C. N., Garcia-Lopez, R., Echevarria, D., Puelles, E., Garcia-Calero, E., Kruse, S., Uhr, M., Kauck, C., Feng, G., Milyaev, N., Ong, C. K., Kumar, L., Lam, M., Semple, C. A., Gyenesei, A., Mundlos, S., Radelof, U., Lehrach, H., Sarmientos, P., Reymond, A., Davidson, D. R., Dollé, P., Antonarakis, S. E., Yaspo, M.-L., Martinez, S., Baldock, R. A., Eichele, G., & Ballabio, A.
Affiliations
  • Telethon Institute Of Genetics And Medicine (IT)
  • Max Planck Institute for Molecular Genetics (DE)
  • Max Planck Institute for Biophysical Chemistry (DE)
  • University of Geneva (CH)
  • Phénotypage et ingénierie précliniques des systèmes d’organismes modèles (FR)
  • Instituto de Neurociencias (ES)
  • Western General Hospital (GB)
  • University of Lausanne (CH)
  • Centre National de la Recherche Scientifique (FR)
  • Baylor College of Medicine (US)
Corresponding author
  • Davidson, Duncan R.
  • Dollé, Pascal
  • Antonarakis, Stylianos E.
  • Yaspo, Marie-Laure
  • Baldock, Richard A.
  • Ballabio, Andrea
Venue
PLoS Biology
Published
2011-01-18
Volume
9
Issue
1
Pages
e1000582
ISSN
  • 1544-9173 (ISSN-L)
  • 1545-7885
OpenAlex
W2126867710
Cited by
638
References
41
Citations by year
2026: 7 · 2025: 17 · 2024: 52 · 2023: 11 · 2022: 28 · 2021: 42 · 2020: 39 · 2019: 37 · 2018: 50 · 2017: 45 · 2016: 37 · 2015: 52 · 2014: 60 · 2013: 64 · 2012: 61
FWCI
28.41
Type
journal article
Language
en
Open access
Locations
  • PLoS Biology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, cc-by)
  • IRIS (submittedVersion)
  • HAL (submittedVersion, other-oa)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion, cc-by)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion, other-oa)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
  • univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg) (submittedVersion, cc-by)
Funders
  • National Science Foundation
  • Association pour la Recherche sur le Cancer
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • Ministerio de Economía y Competitividad (BFU2008-00588, CSD2007-00023)
  • Max-Planck-Gesellschaft
  • Centro de Investigación Biomédica en Red de Salud Mental
  • Medical Research Council
  • Instituto de Salud Carlos III (DIGESIC-MEC BFU2008-00588, 00023)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Keywords
mouse embryo, transcriptome atlas, spatiotemporal gene expression, RNA in situ hybridization, tissue-specific genes, tissue-specific markers, telencephalon, hypothalamus, Wnt signaling, kidney development, microRNA
MeSH terms
Animals, Atlases as Topic, Embryo, Mammalian, Mice, Inbred C57BL, Organ Specificity, Internet, Gene Expression Profiling, Databases, Genetic, Mice

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