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Related Experiment Video

Updated: Apr 22, 2026

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Informatic system for a global tissue-fluid biorepository with a graph theory-oriented graphical user interface.

William E Butler1, Nadia Atai2, Bob Carter3

  • 1Neurosurgical Service, Massachusetts General Hospital, Boston, MA, USA ; Massachusetts General Hospital, Boston, MA, USA.

Journal of Extracellular Vesicles
|October 16, 2014
PubMed
Summary
This summary is machine-generated.

The Richard Floor Biorepository manages extracellular vesicles (EVs) for central nervous system neoplasm research. Its informatics system tracks specimens and clinical data, supporting biomarker discovery for brain tumors.

Keywords:
biorepositoryexosomeextracellular vesiclegraph theorymedical research databaseontology

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Area of Science:

  • Biomedical research
  • Bioinformatics
  • Extracellular vesicle research

Background:

  • Extracellular vesicles (EVs) are crucial in biological processes and disease.
  • Central nervous system neoplasms present diagnostic and therapeutic challenges.
  • Standardized biorepositories are needed for collaborative EV research.

Purpose of the Study:

  • To describe the Richard Floor Biorepository's informatics system for EV research.
  • To support collaborative studies focusing on biomarkers for central nervous system neoplasms.
  • To provide a template for future collaborative EV translational studies.

Main Methods:

  • Implemented an informatics system with specimen inventory tracking using barcodes.
  • Utilized cloud computing resources for data hosting and shared collaboration tools.
  • Integrated clinical data with molecular EV attributes using external ontologies.
  • Developed a web-based, graph theory-driven graphical user interface (GUI).

Main Results:

  • The system currently tracks 4,392 specimens from 611 subjects, primarily with brain tumors.
  • Focus is on specimen tracking and data capture for brain tumor-specific mutation analysis.
  • The informatics system is in the early stages of deployment.

Conclusions:

  • The biorepository and its informatics system provide a robust platform for EV research.
  • The system's flexible design accommodates evolving EV science and multi-institutional collaborations.
  • This infrastructure supports the advancement of biomarker discovery for central nervous system neoplasms.