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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
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Towards reproducible MRM based biomarker discovery using dried blood spots
Sureyya Ozcan1, Jason D Cooper1, Santiago G Lago1
1Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.
Scientific Reports
|March 28, 2017
Summary
Dried blood spot (DBS) sampling offers reproducible protein quantification for biomarker discovery. This minimally invasive method shows strong correlation with serum, advancing clinical proteomics and personalized medicine.
Area of Science:
- Biochemistry and Molecular Biology
- Analytical Chemistry
- Clinical Proteomics
Background:
- Growing interest in dried blood spot (DBS) sampling and multiple reaction monitoring (MRM) for proteomics.
- Previous studies focused on protein detection in DBS, but reproducibility and suitability for high-throughput biomarker discovery remain unclear.
Purpose of the Study:
- To assess the reproducibility of multiplexed targeted protein measurements in DBS compared to serum.
- To evaluate the utility of DBS for high-throughput biomarker discovery in proteomics.
Main Methods:
- Monitoring of 82 medium to high abundance proteins in technical and biological replicates using DBS and serum.
- Application of statistical quality control approaches to detect inaccurate transitions.
- Comparison of protein quantification data between DBS and serum samples.
Main Results:
- Median coefficient of variation (CV) for detected peptides was 13.2% in DBS and 8.8% in serum after statistical quality control.
- A strong correlation (r=0.72) was observed between relative peptide abundance in DBS and serum.
- Demonstrated feasibility of multiplexed targeted protein quantification in DBS.
Conclusions:
- DBS sampling provides reproducible multiplexed targeted protein measurements comparable to serum.
- The combination of DBS and mass spectrometry (MS) is suitable for high-throughput proteomic studies and biomarker discovery.
- This approach has the potential to transform clinical proteomics and personalized medicine through large-scale studies.

