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Updated: May 5, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Advanced Proteomic Profiling Demonstrates Clinical Utility of Patient-Centric, at-Home Dried Blood Sample Collection
Weston J Smith1, Michael T Patel2, Rana Said2
1Standard BioTools, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America.
Dried blood collection offers advantages for proteomics research. This study shows dried blood spot analysis can accurately predict complete blood counts, outperforming plasma-based models.
Area of Science:
- Biochemistry
- Proteomics
- Clinical Diagnostics
Background:
- Patient-centric, at-home dried blood collection offers advantages over traditional methods, including increased compliance and reduced costs.
- Affinity proteomics aims to leverage dried blood samples for broader applications.
- The SomaScan Assay is a powerful tool for proteomic analysis.
Purpose of the Study:
- To evaluate the feasibility of using the SomaScan Assay on dried blood samples.
- To compare proteomic profiles from dried blood with plasma and serum.
- To develop models for predicting complete blood counts (CBCs) from dried blood proteomic data.
Main Methods:
- Dried blood samples were collected using Tasso M20 devices from 16 individuals.
- SomaScan Assay conditions were optimized for the dried blood matrix.
- Proteomic data from dried blood were compared to plasma and serum.
- Complete blood counts were obtained and used to train predictive models.
Main Results:
- Over 800 proteins were measurable in both plasma and dried blood samples.
- Measurable proteins in dried blood are primarily secreted or cell-surface proteins.
- Models developed using dried blood spot data demonstrated higher accuracy in predicting CBCs compared to plasma-based models.
Conclusions:
- Dried blood spot analysis using the SomaScan Assay is a viable method for proteomic studies.
- Dried blood spot proteomics can provide valuable insights into cellular components of blood.
- Dried blood spot-based predictive models for CBCs show improved accuracy, highlighting the potential of this approach in clinical diagnostics.
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