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Phenotype-Driven Plasma Biobanking Strategies and Methods.

Erica A Bowton1, Sarah P Collier2, Xiaoming Wang3

  • 1Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN 37203, USA. erica.a.bowton@vanderbilt.edu.

Journal of Personalized Medicine
|June 26, 2015
PubMed
Summary

Vanderbilt

Keywords:
BioVUbiobankingbiorepositoryplasmaproteomics

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Area of Science:

  • Genomics and Personalized Medicine
  • Biorepository Science
  • Proteomics and Metabolomics

Background:

  • Electronic medical record (EMR) databases and biorepositories like BioVU have advanced genomic research and personalized medicine.
  • BioVU, a DNA biorepository linked to de-identified clinical EMR data, supports genotype-phenotype interaction discovery.
  • Previous experience with BioVU informed the development of a new plasma biobanking initiative.

Purpose of the Study:

  • To describe the implementation of a plasma biobank program.
  • To expand the utility of the existing BioVU biorepository.
  • To integrate proteomic and metabolomic data with genomic and clinical data for broader research applications.

Main Methods:

  • Feasibility assessment for plasma biobanking.
  • Development of protocols for collecting plasma from residual blood specimens.
  • Pilot sample collection to establish the program.

Main Results:

  • The study outlines the necessary considerations and components for establishing a plasma biobank.
  • The initiative successfully moved from feasibility assessment to pilot sample collection.
  • The integrated biobank allows for combined proteomic, metabolomic, genomic, and clinical outcome analyses.

Conclusions:

  • Plasma biobanking enhances biorepository utility by enabling multi-omics research.
  • This integrated approach has the potential to significantly impact clinical care and research.
  • The described process provides a framework for developing similar plasma biobanking programs.