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Ascidian Network for InSitu Expression and Embryological Data

Database of ascidian embryonic development at the level of the genome (cis-regulatory sequences, gene expression, protein annotation), of the cell (morphology, fate, induction, lineage) or of the whole embryo (anatomy, morphogenesis). Currently, four organism models are described in Aniseed: Ciona intestinalis, Ciona savignyi, Halocynthia roretzi and Phallusia mammillata.
This version supports four sets of Ciona intestinalis transcript models: JGI v1.0, KyotoGrail 2005, KH and ENSEMBL, all functionally annotated, and grouped into Aniseedv3.0 gene models. Users can explore their expression profiles during normal or manipulated development, access validated cis-regulatory regions, get the molecular tools used to assay gene function, or all articles related to the function, or regulation of a given gene. Known transcriptional regulators and targets are listed for each gene, as are the gene regulatory networks acting in individual anatomical territories.
ANISEED is a community tool, and the direct involvement of external contributors is important to optimize the quality of the submitted data. Virtual embryo: The 3D Virtual embryo is available to download in the download section of the website.


Resource ID: nif-0000-10155     Resource Type: Resource     Version: Latest Version


embryology, embryo, gene, genome, anatomy, cis-regulatory, development, morphogenesis, morphology, protein, molecular neuroanatomy resource, cis-regulatory sequence, gene expression, protein annotation, cell, expression profile, function, regulation, blast, visualization, data analysis service, clone

Additional Resource Types

Database, Software Resource, Data Repository


ciona intestinalis, ciona savignyi, phallusia mammillata, halocynthia roretzi




Aniseed database

Parent Organization

Funding Information

CNRS, French Ministry of Research, Marseille-Nice Genop��������le, ARC, European Network, EAC, Association pour la Recherche sur le Cancer, Science and Technology Foundation of Portugal, QLK3-CT-2001-01890

Old URLs



Original Submitter


Version Status


Submitted On

12:00am September 8, 2010

Originated From


Changes from Previous Version

  • Description was changed
  • Additional Resource Types was changed

Version 2

Created 2 months ago by Christie Wang

Version 1

Created 5 years ago by Anonymous

The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.

  • Tassy O
  • Genome Res.
  • 2010 4

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.