A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
Author(s) -
Graciana DiezRoux,
Sandro Banfi,
Marc Sultan,
Lars Geffers,
Santosh Anand,
David Rozado,
Alon Magen,
Elena Canidio,
Massimiliano Pagani,
Ivana Peluso,
Nathalie Lin-Marq,
Muriel Koch,
Marchesa Bilio,
Immacolata Cantiello,
Roberta Verde,
Cristian De Masi,
Salvatore Bianchi,
Juliette Cicchini,
Elodie Perroud,
Shprese Mehmeti,
Emilie Dagand,
Sabine Schrinner,
Asja Nürnberger,
Katja Schmidt,
K Metz,
Christina Zwingmann,
Norbert Brieske,
Cindy Springer,
Ana Martinez Hernandez,
Sarah Herzog,
Frauke Grabbe,
Cornelia Sieverding,
Barbara Fischer,
Kathrin Schrader,
Maren Brockmeyer,
Sarah Dettmer,
Christin Helbig,
Violaine Alunni,
Marie-Annick Battaini,
Carole Mura,
Charlotte N. Henrichsen,
Raquel GarcíaLópez,
Diego Echevarrı́a,
Eduardo Puelles,
Elena GarcíaCalero,
Stefan Kruse,
M. Uhr,
Christine Kauck,
Guangjie Feng,
Nestor Milyaev,
Chuang Kee Ong,
Lalit Kumar,
MeiSze Lam,
Colin A. Semple,
Attila Gyenesei,
Stefan Mundlos,
Uwe Radelof,
Hans Lehrach,
Paolo Sarmientos,
Alexandre Reymond,
Duncan Davidson,
Pascal Dollé,
Stylianos E. Antonarakis,
MarieLaure Yaspo,
Salvador Martı́nez,
Richard Baldock,
Gregor Eichele,
Andrea Ballabio
Publication year - 2011
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.1000582
Subject(s) - biology , transcriptome , gene , computational biology , genome , brain atlas , gene expression profiling , genetics , gene expression , neuroscience
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.
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