Patrick Lemaire, Michael J. Gilchrist, Guillaume Luxardi, Clement Lamy, Clare Hudson, Daniele Caillol, Lionel Christiaen, Olivier Tassy, Basptiste Laporte, Nori Satoh, Kazuhiro W. Makabe, Magali Contensin, Delphone Dauga, Yutaka Satou, Daniel Sobral, Pierre Khoueiry, Ute Rothbächer, David Salgado, Takehiro Kusakabe, Fabrice Daian, Renaud Schiappa, Kohji Hotta, Jean-Stéphane Joly, Vanessa Fox, Sébastien Darras, François Robin, Anne C. Rios, Hélène Auger, Shigeki Fujiwara, Institut de Biologie du Développement de Marseille (IBDM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), CNRS, French Ministry of Research, Marseille-Nice Genopole, ARC, European Network, Embryos against Cancer (EAC) [QLK3-CT-2001-01890], Association pour la Recherche sur le Cancer, Chor-Reg-Net, Science and Technology Foundation of Portugal, GeneShape, Laboratoire de psychologie cognitive (LPC), Department of Biology, Faculty of Science and Engineering, Konan University, INRA MSNC group, Institut Fessard, CNRS, Institut National de la Recherche Agronomique (INRA), Institut de Neurobiologie Alfred Fessard (INAF), Centre National de la Recherche Scientifique (CNRS), Neurobiologie et Développement (N&eD), Department of Molecular & Cell Biology [Berkeley], University of California [Berkeley], University of California-University of California, Laboratoire de Biologie du Développement de Villefranche sur mer (LBDV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge [UK] (CAM), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Aix Marseille Université (AMU)-Collège de France (CdF)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie du Développement de Marseille-Luminy (IBDML), Université de la Méditerranée - Aix-Marseille 2-Centre National de la Recherche Scientifique (CNRS), France Telecom - CNET (CNET), France Télécom, University of Granada/Dept of Cell Biology, University of Granada [Granada], Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Développement, évolution et plasticité du système nerveux (DEPSN), Department of Physics, Tokyo Institute of Technology (TOKYO INSTITUTE OF TECHNOLOGY), Tokyo Institute of Technology [Tokyo] (TITECH), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Universidad de Granada = University of Granada (UGR), and Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)
Developmental biology aims to understand how the dynamics of embryonic shapes and organ functions are encoded in linear DNA molecules. Thanks to recent progress in genomics and imaging technologies, systemic approaches are now used in parallel with small-scale studies to establish links between genomic information and phenotypes, often described at the subcellular level. Current model organism databases, however, do not integrate heterogeneous data sets at different scales into a global view of the developmental program. Here, we present a novel, generic digital system, NISEED, and its implementation, ANISEED, to ascidians, which are invertebrate chordates suitable for developmental systems biology approaches. ANISEED hosts an unprecedented combination of anatomical and molecular data on ascidian development. This includes the first detailed anatomical ontologies for these embryos, and quantitative geometrical descriptions of developing cells obtained from reconstructed three-dimensional (3D) embryos up to the gastrula stages. Fully annotated gene model sets are linked to 30,000 high-resolution spatial gene expression patterns in wild-type and experimentally manipulated conditions and to 528 experimentally validated cis-regulatory regions imported from specialized databases or extracted from 160 literature articles. This highly structured data set can be explored via a Developmental Browser, a Genome Browser, and a 3D Virtual Embryo module. We show how integration of heterogeneous data in ANISEED can provide a system-level understanding of the developmental program through the automatic inference of gene regulatory interactions, the identification of inducing signals, and the discovery and explanation of novel asymmetric divisions.