Related Experiment Video
Updated: Jul 13, 2026

05:30
Isolation, Characterization, and Proteomic Analysis of Plasma-Derived Extracellular Vesicles for Cardiovascular Biomarker Discovery
Published on: January 31, 2025
Organ-Derived Spectral Libraries Improve Sensitivity in DIA Plasma Peptidomics
Yusei Okuda1,2, Ryo Konno2, Tomomi Taguchi3
1Department of Physics, School of Science, Kitasato University, Kanagawa, Japan.
Proteomics
|July 11, 2026
Summary
This study introduces a sensitive plasma peptidomic method combining data-independent acquisition (DIA) with spectral libraries. The approach identifies over 5500 peptides, including 2000 organ-derived ones, aiding disease biomarker discovery.
Area of Science:
- Biochemistry
- Proteomics
- Systems Biology
Background:
- Plasma peptides are vital for homeostasis and disease regulation.
- High-abundance proteins like albumin complicate the analysis of organ-secreted peptides in plasma.
- Existing methods face challenges in comprehensively identifying native organ-derived peptides.
Purpose of the Study:
- To develop a highly sensitive plasma peptidomic approach for analyzing organ-derived peptides.
- To combine data-independent acquisition (DIA) with organ and plasma spectral libraries.
- To enable quantitative analysis and organ-of-origin assignment for plasma peptides.
Main Methods:
- Peptide extraction from plasma and eleven organ types using the differential solubilization method.
- Construction of an empirical spectral library via data-dependent acquisition (DDA) on a timsTOF HT.
- Analysis of DIA-MS data from plasma samples utilizing the established spectral library.
Main Results:
- Identification of over 5500 peptides per run on average.
- Detection of over 2000 organ-derived peptides, including 19 known bioactive peptides.
- Successful linkage of identified peptides to their secreting organs.
Conclusions:
- The novel DIA-MS strategy enables highly sensitive quantification of organ-derived peptides in plasma.
- This approach facilitates the discovery of novel biomarkers and bioactive peptides.
- The method is expected to advance the understanding of systemic disease pathophysiology.