Hear from the Experts: Optimizing Extracellular (EV) Analysis with Simple Western

Why Extracellular Vesicles Are Central to Cancer Research

Extracellular vesicles (EVs), including exosomes, are small particles released by cells into blood and other body fluids. EVs carry protein, lipid and sometimes DNA from their cell of origin, including surface markers such as CD63, CD9 and TSG101, making them a valuable, minimally invasive source of biomarkers for cancer prediction, diagnosis and drug delivery.

Dr. Jessica Gobbo, P.h.D, is a Clinical Researcher and Project Manager at Centre Georges-François Leclerc (INSERM 1231). Her translational research focuses on harnessing EVs as predictive and diagnostic biomarkers in cancer. For researchers like her, this potential offers a route to earlier diagnosis and, ultimately, better outcomes for patients.

From Standard Western Blot to Simple Western

Realizing that potential, however, means overcoming a practical obstacle: EV protein analysis has traditionally relied on standard Western blotting, and Western blot is poorly suited to the small, precious samples EV research depends on. Manual workflows are time-consuming and prone to variability between runs. Additionally, they consume more of the sample than researchers can spare when every microliter of blood is limited.

Dr. Gobbo knows this constraint firsthand. "When you work with blood, you don't have a large amount available," she explains. "You have to adapt everything, and adapt your research, to reach your clinical results faster." For EV work, the pressure is greater still, because the proteins of interest, including markers such as CD63, CD9 and TSG101, are often present at low abundance. Reliably detecting them demands a level of sensitivity that manual blotting struggles to deliver consistently.

Switching to Simple Western removed that trade-off. The platform, she notes, "gave me the opportunity to reduce my blood sample volume and obtain exactly the same results." Automating sample preparation, separation, immunodetection and analysis within a single workflow strips out much of the manual variability and hands-on time of traditional blotting. It also preserves sample that would otherwise be lost to repeat runs and troubleshooting.

Simple Western: Automated, High-Sensitivity Analysis for EV Samples

Simple Western pairs the sensitivity EV researchers need for biomarker quantification with the low sample volumes their work demands. In Dr. Gobbo's experience, it delivers high sensitivity from only a very small quantity of blood, which she describes as a real advantage for her research.

What Simple Western facilitates:

• Low sample volume for EV preparations, as little as 3 µl per well
• Highly sensitive, industry-leading multiplex immunoassay detection
• Simultaneous Total Protein assays for normalization in a single automated run
• Analyze EV samples, cell lysates and liquid biopsies, including urine, serum and plasma
• Fully automated sample preparation and analysis, with fully quantitative and reproducible results in around three hours

For Dr. Gobbo, the value of automation is straightforward. "A good technique has a high impact on science, because it improves automation for EV analysis," she says, adding that Simple Western "adapts to the challenges I face every day."

Watch Dr Gobbo's full testimonial

Frequently Asked Questions

What are extracellular vesicles used for in biomarker research?
EVs carry protein, lipid and sometimes DNA from their cell of origin, making them useful for predictive and diagnostic biomarker research, particularly in oncology, as well as for drug delivery applications.

How much sample volume does Simple Western require for EV analysis?
Simple Western can analyze EV samples using as little as 3 µl of sample per well, preserving precious blood and biofluid samples for further characterization.

Can Simple Western analyze complex EV sample types?
Yes. Simple Western supports analysis of EV samples, cell lysates and liquid biopsies, including urine, serum and plasma, with fully automated, quantitative and reproducible results.