Analytical Technologies to Characterize and Understand Cancer Metabolism
Waters to showcase the technology advancing cancer research at AACR 2018
4 Apr 2018
At this year's AACR annual meeting in Chicago, Illinois, Waters Corporation will be showcasing a number of innovative analytical technologies that biomedical researchers need to characterize and better understand cancer metabolism. In booth #1242, the company will provide details about their analytical solutions for omics discovery, biomarker translation, molecular visualization and the analysis of antibody drug conjugates.
In addition to the booth, Waters would like to call your attention to 5 posters which leverage the power of MS to advance cancer research:
- Poster #4109 / 10 - Multi-modality imaging to interrogate lipidome changes during melanoma progression in zebrafish. E. Jones, Waters Corp., Wilmslow, UK and D. Foster, Univ. of Manchester, Manchester, UK
- Poster #4118 / 19 - Rapid, non-subjective characterization of disease in preclinical cancer research using desorption electrospray ionization mass spectrometry. Arash Zarrine-Afsar and M. Woolman, University Health Network, Toronto, ON, Canada
- Poster #3998 / 2 - Integrative molecular analysis uncovers key molecules and signaling pathways regulated by RKIP in gastrointestinal stromal tumors (GISTs). N. C. Campanella, Sr., Barretos Cancer Hosp., BARRETOS, Brazil
- Poster #5654 / 10 - Fully automated tissue classification by imaging mass spectrometry, moving towards a hundred samples a day. E. Jones, Waters Corp., Wilmslow, UK
- Poster #5661 / 17 - A multi modal mass spectrometry imaging strategy to profile the metabolic hallmarks of colorectal cancer. J. Bunch, Natl. Physical Lab., Teddington, London, UK
Also, don’t miss the 'Oncology Biomarker Detection, Characterization, and Quantification by Mass Spectrometry' workshop on Saturday April 14, 2018, 8:00 AM - 10:00 AM in Room S405 - McCormick Place South (Level 4). The workshop, chaired by Ahmed M. Aman of the Ontario Institute for Cancer Research, will cover recent advancement in mass spectrometric (MS) techniques from sampling to detection and improvements in data analysis procedures, computational tools and methodologies to enable novel approaches to cancer biomarker discovery.
Waters’ Molecular Visualization tools measure spatial distribution of molecules, without labeled probes that can maximize information from a single tissue sample to compare cell morphology and/or drug metabolite distribution. They will also feature protein and metabolite biomarker verification and validation tools that can accelerate cancer research and minimize analytical variability for consistent, reproducible results that can accelerate decision timelines.