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The cell-centered database: a database for multiscale structural and protein localization data from light and

Maryann E Martone1, Shenglan Zhang, Amarnath Gupta

  • 1Department of Neurosciences, University of California at San Diego, San Diego, CA, USA. mmartone@ucsd.edu

Neuroinformatics
|March 27, 2004
PubMed
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Researchers developed the Cell Centered Database (CCDB) to manage and analyze 3D cell imaging data. This neuroinformatics resource aids in understanding cellular and tissue structural complexity, particularly in the nervous system.

Area of Science:

  • Neuroscience
  • Cell Biology
  • Bioinformatics

Background:

  • Genomic and proteomic data repositories have driven biological research.
  • A need exists for similar resources to manage complex cellular and tissue structural data beyond the molecular level.

Purpose of the Study:

  • To present the development and features of the Cell Centered Database (CCDB).
  • To provide a web-accessible resource for managing and mining 3D cell imaging data.
  • To support investigation of structural and macromolecular complexity in cells and tissues.

Main Methods:

  • Development of a web-accessible database (CCDB).
  • Integration of 3D imaging data from light and electron microscopy.
  • Focus on structural and protein localization information.

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Main Results:

  • The CCDB provides a platform for accessing and analyzing 3D microscopic imaging data.
  • The database manages structural and protein localization data across various scales, from tissues to cellular microdomains.
  • It specifically supports research on the rodent nervous system.

Conclusions:

  • The CCDB is a valuable neuroinformatics resource for the scientific community.
  • It facilitates the study of structural and macromolecular complexity in cellular and tissue environments.
  • Enhanced data management and mining capabilities are crucial for advancing biological research.