Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

WDDD

General information

URL: http://so.qbic.riken.jp/wddd/cdd/index.html
Full name: Worm Developmental Dynamics Database
Description: WDDD stores a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos with single genes silenced by RNA-mediated interference.
Year founded: 2013
Last update: 2012-11-20
Version: v1.0
Accessibility:
Accessible
Country/Region: Japan

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Contact information

University/Institution: RIKEN
Address: 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
City: Saitama
Province/State:
Country/Region: Japan
Contact name (PI/Team): Shuichi Onami
Contact email (PI/Helpdesk): sonami@riken.jp

Publications

23172286
WDDD: Worm Developmental Dynamics Database. [PMID: 23172286]
Kyoda K, Adachi E, Masuda E, Nagai Y, Suzuki Y, Oguro T, Urai M, Arai R, Furukawa M, Shimada K, Kuramochi J, Nagai E, Onami S.

During animal development, cells undergo dynamic changes in position and gene expression. A collection of quantitative information about morphological dynamics under a wide variety of gene perturbations would provide a rich resource for understanding the molecular mechanisms of development. Here, we created a database, the Worm Developmental Dynamics Database (http://so.qbic.riken.jp/wddd/), which stores a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos with single genes silenced by RNA-mediated interference. The information contains the three-dimensional coordinate values of the outlines of nuclear regions and the dynamics of the outlines over time. The database provides free access to 50 sets of quantitative data for wild-type embryos and 136 sets of quantitative data for RNA-mediated interference embryos corresponding to 72 of the 97 essential embryonic genes on chromosome III. The database also provides sets of four-dimensional differential interference contrast microscopy images on which the quantitative data were based. The database will provide a novel opportunity for the development of computational methods to obtain fresh insights into the mechanisms of development. The quantitative information and microscopy images can be synchronously viewed through a web browser, which is designed for easy access by experimental biologists.

Nucleic Acids Res. 2013:41(Database issue) | 12 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5127/6895 (25.656%)
Expression:
1039/1347 (22.94%)
5127
Total Rank
12
Citations
1
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Record metadata

Created on: 2015-06-20
Curated by:
Zhang Zhang [2016-04-26]
Hongyan Yin [2016-04-15]
Lina Ma [2016-04-15]
Hongyan Yin [2016-03-31]
Mengwei Li [2016-02-15]
Hongyan Yin [2015-11-22]
Hongyan Yin [2015-06-26]