Interrogating the boundaries of flow cytometry for single extracellular vesicle detection
Authors:   , Lozano Andrés Estefanía 
Published: May 2023

Extracellular vesicles (EVs) are cell-derived multicomponent messengers that participate
in diverse intercellular communication processes regulating immune responses,
cell survival and proliferation. However, EVs also play a role in disease processes like
cancer. Since EVs contain biological information that reflects the status of the cell of
origin, they might be used in liquid biopsies as disease biomarkers. The detection and
characterization of EVs is a fundamental step towards EV-based biomarker profiling of
pathological processes and is complicated due to their small size, heterogeneity and
complex composition. Therefore, technological solutions that allow high throughput
detection and analysis of single EVs are of utmost importance. Flow cytometry (FCM)
is a promising technology for this purpose. However, traditional flow cytometers, designed
for cells, lack the sensitivity for the detection of nano-sized EVs, whose signals
are typically below or at the detection limit of conventional instruments.
In my PhD thesis I explored the limits of flow cytometry of single EVs, provide guidance
for reproducible and robust EV FCM and address the challenges of EV analysis in body
fluids. First, we developed and characterized a reference material for EV research. Next,
we focused on high-sensitivity FCM for the detection of EVs and I present a reporting
framework developed by the ISEV-ISAC-ISTH EV Flow cytometry workgroup to increase
reproducibility of results. Since fluorescence calibration of EV signals is of importance
for inter-instrument and inter-lab comparisons, we provide insights into the utilization
of current calibrators and show that intrinsic variations related to these calibrators compromise
accurate calibration of EV signals. In addition to the fluorescence, light scatter
signals also contain valuable information that it is often lost within the background
noise. By using an open-architecture flow cytometer, we optimized the configuration
by combining differently sized hardware components to improve light scatter-based EV
detection by reducing optical background signals. Lastly, we applied these technological
advancements in the field of high-sensitivity FCM to investigate interactions between
biological particles, namely EVs and lipoprotein particles (LPPs), which are known to
co-isolate. Liquid biopsy EV-based biomarker profiling is complicated because LPPs in
blood outnumber EVs by orders of magnitude and have biophysical overlapping properties
with EVs, including size and density. We here demonstrate by high-sensitivity
FCM, in combination with orthogonal methods; i.e., Rayleigh and Raman scattering
and cryo-electron microscopy, that EV-LPP complexes can be formed and can impact
EV-analysis in blood. Overall, the findings presented in my thesis can contribute to
the development of robust liquid biopsy EV biomarker profiling by FCM and shed light
on the complexity of single EV analysis in body fluids, which will ultimately help to a
successful clinical translation of EVs as disease biomarkers.