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Related Experiment Video

Updated: May 13, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

Biomarker rediscovery in diagnostics.

Urban A Kiernan1

  • 1Senior Research Scientist, Intrinsic Bioprobes, Inc. - R&D, 2155 E Conference Dr Tempe, AZ 85284, USA +1 480 804 1778 ; +480 804 0778 ; ukiernan@intrinsicbio.com.

Expert Opinion on Medical Diagnostics
|March 19, 2013
PubMed
Summary

Protein variation offers a new avenue for biomarker discovery, but current proteomics methods need refinement for clinical application. Advanced techniques are crucial for translating proteomic insights into effective disease diagnostics and treatments.

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Last Updated: May 13, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Clinical Diagnostics

Background:

  • Proteomics has advanced biomarker discovery, yet clinical implementation remains limited.
  • Existing proteomics initiatives face challenges in translating findings into diagnostic tools.
  • Novel approaches are needed to enhance the clinical utility of proteomic biomarkers.

Purpose of the Study:

  • To review technologies and strategies for proteomic biomarker discovery.
  • To discuss methods for detecting protein variants as disease biomarkers.
  • To explore the potential of protein variation in diagnostics.

Main Methods:

  • Literature review of recent proteomic biomarker research.
  • Analysis of existing biomarker discovery research experiences.
  • Focus on top-down proteomics for protein variation analysis.

Main Results:

  • Protein variation represents an underutilized resource for biomarker development.
  • Specific proteomics applications are suitable for analyzing protein variants.
  • Protein variation holds significant potential for disease diagnostics.

Conclusions:

  • Protein variation is a promising, yet largely untapped, biomarker resource.
  • Targeted proteomics approaches are essential for analyzing protein variants.
  • Harnessing protein variation can significantly impact disease diagnosis and therapy.