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Proceedings Paper

Label-free detection of protein molecules secreted from an organ-on-a-chip model for drug toxicity assays
Author(s): Andres W. Morales; Yu Shrike Zhang; Julio Aleman; Parissa Alerasool; Mehmet Remzi Dokmeci; Ali Khademhosseini; Jing Yong Ye
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Paper Abstract

Clinical attrition is about 30% from failure of drug candidates due to toxic side effects, increasing the drug development costs significantly and slowing down the drug discovery process. This partly originates from the fact that the animal models do not accurately represent human physiology. Hence there is a clear unmet need for developing drug toxicity assays using human-based models that are complementary to traditional animal models before starting expensive clinical trials. Organ-on-a-chip techniques developed in recent years have generated a variety of human organ models mimicking different human physiological conditions. However, it is extremely challenging to monitor the transient and long-term response of the organ models to drug treatments during drug toxicity tests. First, when an organ-on-a-chip model interacts with drugs, a certain amount of protein molecules may be released into the medium due to certain drug effects, but the amount of the protein molecules is limited, since the organ tissue grown inside microfluidic bioreactors have minimum volume. Second, traditional fluorescence techniques cannot be utilized for real-time monitoring of the concentration of the protein molecules, because the protein molecules are continuously secreted from the tissue and it is practically impossible to achieve fluorescence labeling in the dynamically changing environment. Therefore, direct measurements of the secreted protein molecules with a label-free approach is strongly desired for organs-on-a-chip applications. In this paper, we report the development of a photonic crystal-based biosensor for label-free assays of secreted protein molecules from a liver-on-a-chip model. Ultrahigh detection sensitivity and specificity have been demonstrated.

Paper Details

Date Published: 22 April 2016
PDF: 5 pages
Proc. SPIE 9725, Frontiers in Biological Detection: From Nanosensors to Systems VIII, 972508 (22 April 2016); doi: 10.1117/12.2212971
Show Author Affiliations
Andres W. Morales, The Univ. of Texas at San Antonio (United States)
Yu Shrike Zhang, Brigham and Womens Hospital, Harvard Medical School (United States)
Harvard-MIT Health Sciences and Technology (United States)
Julio Aleman, Brigham and Womens Hospital, Harvard Medical School (United States)
Harvard-MIT Health Sciences and Technology (United States)
Parissa Alerasool, Brigham and Womens Hospital, Harvard Medical School (United States)
Harvard-MIT Health Sciences and Technology (United States)
Tufts Univ. (United States)
Mehmet Remzi Dokmeci, Brigham and Womens Hospital, Harvard Medical School (United States)
Harvard-MIT Health Sciences and Technology (United States)
Harvard Univ. (United States)
Ali Khademhosseini, Brigham and Womens Hospital, Harvard Medical School (United States)
Harvard-MIT Health Sciences and Technology (United States)
Wyss Institute for Biologically Inspired Engineering (United States)
Jing Yong Ye, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 9725:
Frontiers in Biological Detection: From Nanosensors to Systems VIII
Benjamin L. Miller; Brian T. Cunningham, Editor(s)

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