Mapping the Molecular Identity of Human EVs
-
By
February 4, 2026
-
7 min
-
1
EVs are key in intercellular communication.
-
2
Challenges exist in isolating EVs from human plasma.
-
3
Machine learning was utilized for data integration.
-
4
A total of 182 proteins and 52 lipids were identified as intrinsic to EVs.
-
5
EVMap provides a molecular framework for identifying EVs.
-
6
Findings highlight the selective presence of hallmark features in EVs.
-
7
Future work will focus on using EV features for stable biomarkers.
-
8
The study advances possibilities for non-invasive disease detection.
-
A study from the Baker Heart and Diabetes Institute explores extracellular vesicles (EVs) as key mediators of intercellular communication and sources for minimally invasive biomarkers. By utilizing high-sensitivity mass spectrometry, lipidomics, and single-vesicle flow cytometry integrated with machine learning, researchers have established a molecular framework for identifying EVs in complex human plasma. This work addresses challenges in distinguishing EVs from other plasma components, providing a valuable reference map (EVMap) for future diagnostic and therapeutic applications.
-
1
EVs are key in intercellular communication.
-
2
Challenges exist in isolating EVs from human plasma.
-
3
Machine learning was utilized for data integration.
-
4
A total of 182 proteins and 52 lipids were identified as intrinsic to EVs.
-
5
EVMap provides a molecular framework for identifying EVs.
-
6
Findings highlight the selective presence of hallmark features in EVs.
-
7
Future work will focus on using EV features for stable biomarkers.
-
8
The study advances possibilities for non-invasive disease detection.
Listen Tab content
