MSACL 2019 US Abstract

A Combination Analysis of DESI-MSI with Laser Capture Microdissection using Same Tissue Section

Emine Kazanc(1), Evi Karali(2), Vincen Wu(1), Andreas Dannhorn(1), Paolo Inglese(1), James McKenzie(1), George Poulogiannis(2 )and Zoltan Takats(1)
(1)Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, UK (2)Cancer Biology, Institute of Cancer Research, London, UK

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Emine Kazanc (Presenter) Imperial College of London

Presenter Bio: I have completed my bachelors in Molecular Biology and Genetics at Istanbul University, Turkey, 2012. I did several internships in different institutes such as in Emory Winship Cancer Institute, USA, 2015 and in the Institute of Neuroscience in Newcastle, UK, 2011. I also took part in as a research student, which is project focused on nanomaterials in tissue engineering and gene silencing for cancer treatment in the Yeditepe University, Turkey, 2012-2014. During this project, I decided to continue in cancer field. I then got a scholarship to conduct my master in The Cancer Cell and Molecular Biology in the University of Leicester, UK, 2015-2016.Since October 2017, I have started my PhD in the Surgery and Cancer department under supervision of Professor Zoltan Takats in the Imperial College of London.

Relevant Financial Disclosures (within past 24 months) No relevant financial relationship(s) to disclose. Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above. Conflict mitigation NOT REQUIRED.

Mass spectrometry imaging (MSI) is a powerful technique providing detailed information on the spatial distribution of metabolites, drug molecules and lipids in tissue sections. However, using precious and small clinical specimens for multiple approaches including desorption electrospray ionisation mass spectrometry imaging (DESI-MSI) with transcriptomic aims can be challenging. An adapted combination of multiple techniques in a single tissue section therefore might allow to obtain a comprehensive and exact metabolic information. This study aims to combine different techniques to develop a comprehensive analysis from a single tissue section protocol particularly small and precious clinical biopsies.