Utilizing Protein Signatures from Heterogeneous Cell Populations in a Murine Model for Diagnosis of Ovarian Cancer
Melissa M. Galey (1), Alexandria N. Young (1), Valentina Petukhova (1), Mingxun Wang (2), Jian Wang (2), Daniel Lantvit (1), Joanna E. Burdette (1), Laura M. Sanchez (1) (1) University of Illinois at Chicago, Chicago, IL (2) Ometa Labs, San Diego, CA
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Melissa Galey (Presenter) University of Illinois at Chicago
Presenter Bio: I received my bachelors degree in Biochemistry from Rose-Hulman Institute of Technology in Terre Haute, IN in 2008. Following graduation, I spent four years working in the oil and gas industry for Honeywell with a focus on developing new zeolites and catalysts refining purposes. I began work towards my graduate degree in 2016 at UIC in the lab of Dr. Laura Sanchez with a specialization in pharmacognosy. My research interests include ovarian cancer, MALDI-TOF mass spectrometry and natural product drug discovery.
Relevant Financial Disclosures
(within past 24 months)
No relevant financial relationship(s) to disclose.
Abstract
We describe a MALDI-TOF based approach to monitoring disease progression of ovarian cancer in a murine model by relying on our ability to detect proteins from cells capture from the local microenvironment. We employed a murine xenograft model to test our ability to differentiate between healthy and disease states and cells were collected throughout the time course of the study via vaginal lavage. Spectral protein fingerprints (4 - 20 kDa) were obtained for each sample, resulting in further investigation into the identification of proteins of interest in the samples that that are present and change in intensity over time.
= Discovery stage. (17.55%, 2019 US)
= Translation stage. (42.72%, 2019 US)
= Clinically available. (39.74%, 2019 US)
