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Related Experiment Video

Updated: May 20, 2026

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

Published on: April 5, 2018

A novel "reactomics" approach for cancer diagnostics.

Sofiya Kolusheva¹, Rami Yossef, Aleksandra Kugel

¹Ilse Katz Institute for Nanoscale Science and Technology, Ben Gurion University of the Negev, Beer Sheva 84105, Israel. kolushev@bgu.ac.il

Sensors (Basel, Switzerland)

|July 11, 2012

Summary

A new diagnostic method called reactomics uses blood sera reactions with special vesicles to detect cancer. This colorimetric approach accurately distinguishes between cancer patients and healthy individuals, offering a promising tool for disease detection.

Keywords:

bioinformatics biomarker cancer diagnostics polydiacetylene serum

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Last Updated: May 20, 2026

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Area of Science:

Biomaterials Science
Nanotechnology
Medical Diagnostics

Background:

Non-invasive disease detection, particularly for cancers, is crucial for improving patient treatment outcomes and survival rates.
Current diagnostic methods often rely on identifying specific biomarkers, which may not always be available or effective for all diseases.

Purpose of the Study:

To introduce and evaluate a novel diagnostic approach, termed "reactomics," for the non-invasive detection and monitoring of diseases.
To demonstrate the capability of reactomics to differentiate between healthy individuals and cancer patients, and even between different cancer types.

Main Methods:

Developed a diagnostic platform utilizing an array of vesicles composed of lipids and polydiacetylene (PDA), a chromatic polymer.
Analyzed chromatic patterns generated from the reaction between blood sera and the lipid/PDA vesicle array using machine-learning algorithms.
Conducted size-separation and enzymatic digestion experiments to identify the reacting serum components.

Main Results:

The reaction between sera and the vesicle array produced distinct chromatic patterns influenced by serum composition and vesicle lipids.
Bioinformatics analysis successfully distinguished between cancer-bearing and healthy patients, as well as between two distinct cancer types.
Lipoproteins were identified as the primary serum components responsible for the reaction with the chromatic vesicles.

Conclusions:

The colorimetric reactomics concept provides a generic, robust, and label-free method for disease diagnostics.
This approach does not require prior knowledge of specific disease markers, making it broadly applicable.
Reactomics can serve as a valuable complementary or alternative strategy for disease detection and monitoring.