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Sensors 2012, 12(5), 5572-5585; doi:10.3390/s120505572

A Novel “Reactomics” Approach for Cancer Diagnostics

1
Ilse Katz Institute for Nanoscale Science and Technology, Ben Gurion University of the Negev, Beer Sheva 84105, Israel
2
The Shraga Segal Department of Microbiology and Immunology and the National Institute for Biotechnology in the Negev, Ben Gurion University of the Negev, Beer Sheva 84105, Israel
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 3 February 2012 / Revised: 30 March 2012 / Accepted: 23 April 2012 / Published: 2 May 2012
(This article belongs to the Special Issue Biomarkers and Nanosensors: New Approaches for Biology and Medicine)
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Abstract

Non-invasive detection and monitoring of lethal diseases, such as cancer, are considered as effective factors in treatment and survival. We describe a new disease diagnostic approach, denoted reactomics”, based upon reactions between blood sera and an array of vesicles comprising different lipids and polydiacetylene (PDA), a chromatic polymer. We show that reactions between sera and such a lipid/PDA vesicle array produce chromatic patterns which depend both upon the sera composition as well as the specific lipid constituents within the vesicles. The chromatic patterns were processed through machine-learning algorithms, and the bioinformatics analysis could distinguish both between cancer-bearing and healthy patients, respectively, as well between two types of cancers. Size-separation and enzymatic digestion experiments indicate that lipoproteins are the primary components in sera which react with the chromatic biomimetic vesicles. This colorimetric reactomics concept is highly generic, robust, and does not require a priori knowledge upon specific disease markers in sera. Therefore, it could be employed as complementary or alternative approach for disease diagnostics. View Full-Text
Keywords: biomarker; cancer; serum; polydiacetylene; diagnostics; bioinformatics biomarker; cancer; serum; polydiacetylene; diagnostics; bioinformatics
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Kolusheva, S.; Yossef, R.; Kugel, A.; Hanin-Avraham, N.; Cohen, M.; Rubin, E.; Porgador, A. A Novel “Reactomics” Approach for Cancer Diagnostics. Sensors 2012, 12, 5572-5585.

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