What: Annual meeting of the German Society for Proteome Research
When: 2-5 April 2017
Where: Potsdam, Germany
SCIEX is excited to attend the Proteomic Forum DGPF 2017 and invite you to participate in our sessions taking place throughout the conference:
Stop by our booth to learn more about the SWATH® Acquisition, data independent analysis method for comprehensive detection and quantitation of thousands of proteins and Capillary Electrophoresis systems
Register to our lunch seminar on 4th April 2017 (12:45-13:45)
Robert Graham Ph.D. from Stoller Biomarker Discovery Centre, University of Manchester
Dr. Christopher Lößner from SCIEX Separations Germany
Join our training courses computational OMICs on 4th and 5th April around SWATH® acquisition and ProteinPilot™ software
Stop by our posters which cover a broad range of topics from LC- and CE-MS based proteomics
Visit the news corner on 2nd April 2017 (15:45-17:45)
Topic: Accelerating Data Independent Acquisition with Microflow Chromatography
If you are attending the conference, make sure you register using the form on the right to receive updates and follow-up about the meeting.
Biomarkers for the Early Detection of Ovarian Cancer
Robert Graham Ph.D. - Sr Lecturer in Clinical Proteomics, Deputy Director Stoller Biomarker Discovery Centre, University of Manchester
There are a myriad of issues within the field of biomarker discovery, we will focus on our experience of working with clinical serum samples from biobanks. We will present a few recent stuies we carried out on the identification of early detection ovarian cancer (OC) biomarkers. OC has the highest mortality of all gynaecological cancers. Early diagnosis offers an approach to achieving better outcomes for patients.
Using mass spectrometry and immunoassays we conducted a blinded-evaluation of prospectively collected preclinical serum from participants in the multimodal group of the UK Collaborative Trial of Ovarian Cancer Screening.
Through the use of isobaric tags (iTRAQ) we identified proteins differentially expressed between OC cases and controls. A second targeted mass spectrometry analysis of twenty of these candidates using SWATH identified a number of potential early detection biomarkers for OC. These were further validated by ELISA analysis in 482 serial serum samples, from 80 individuals, 49 OC cases and 31 controls, spanning up to 7 years prior to diagnosis.
Our work demonstrated that Protein Z is a novel independent early detection biomarker for Type I and Type II ovarian cancer; which can discriminate between both types. Protein Z also adds to CA125 and potentially the Risk of ovarian Cancer algorithm in the detection of both subtypes. We will also discuss some of our preliminary work on building risk estimation models for early detection of OC and threshold models which offer potential as prognostic indicators for the most aggressive Type II OC.
Dr. Christopher Lößner - CESI-MS for top-down, middle-down and bottom-up Proteomics Applications Specialist, SCIEX Separations Germany
Listen to over 6 poster sessions covering a broad range of topics from catacholamines and metanephrines to lipid characterization and endocrine research
Tuesday 4th April 16:00-17:30 Room S16
ProteinPilot Software for Protein Identification and Quantitation
An introduction in the principles of the Paragon™ algorithm, which is used for protein identification in ProteinPilot software. You will learn how to navigate through the software to identify proteins, peptide modifications, as well as protein classes and their isoform specific peptides. We will show you how ProteinPilot software could be used for relative quantitation of proteins by labeling strategies like iTRAQ® reagents and SILAC.
Wednesday 5th April 11:00-12:30 Room H02
SWATH Data Processing Pipeline with SCIEX Solutions
How to navigate through PeakView® and MarkerView™ software for SWATH processing and an overview on our cloud based data processing solution – the OneOmics™ project. You will learn how to generate SWATH ion libraries, process and review your SWATH data as well as doing statistics on it and visualize the results.