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A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
68 auth. G. Diez-Roux, Sandro Banfi, Marc Sultan, L. Geffers, Santosh Anand, David Rozado, Alon Magen, Elena Canidio, Massimiliano Pagani, Ivana Peluso, Nathalie Lin-Marq, M. Koch, Marchesa Bilio, Immacolata Cantiello, Roberta Verde, ... Cristian De Masi, Salvatore A. Bianchi, Juliette Cicchini, E. Perroud, Shprese Mehmeti, Emilie Dagand, Sabine Schrinner, A. Nürnberger, Katja Schmidt, Katja Metz, Christina Zwingmann, N. Brieske, Cindy Springer, A. Hernandez, Sarah Herzog, F. Grabbe, Cornelia Sieverding, Barbara Fischer, Kathrin Schrader, Maren Brockmeyer, Sarah Dettmer, Christin Helbig, Violaine Alunni, Marie-Annick Battaini, Carole Mura, Charlotte N. Henrichsen, R. Garcia-Lopez, D. Echevarrı́a, E. Puelles, E. Garcia-Calero, Stefan Kruse, Markus Uhr, Christine Kauck, Guangjie Feng, N. Milyaev, Chuang Kee Ong, Lalit Kumar, M. Lam, C. A. Semple, Attila Gyenesei, Stefan Mundlos, U. Radelof, H. Lehrach, P. Sarmientos, A. Reymond, Duncan R. Davidson, Pascal Dollé, S. Antonarakis, M. Yaspo, Salvador Martinez, Richard A. Baldock, G. Eichele, Andrea Ballabio
The manuscript describes the “digital transcriptome atlas” of the developing mouse embryo, a powerful resource to determine co-expression of genes, to identify cell populations and lineages and to identify functional associations between genes relev…
The manuscript describes the “digital transcriptome atlas” of the developing mouse embryo, 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.
Published in PLoS Biology
67
 7 2011