The 36th meeting of the SGMS will take place at the Dorint Resort Blüemlisalp Beatenberg, 25-26 October 2018 high above Lake Thun in the Bernese Oberland, with a scenic view of the Swiss Alps!
SGMS School before the Meeting
- General Assembly
- Evan Williams (University of California Berkeley) [ abstract ]
- Serge Rudaz (University of Geneva) [ abstract ]
- Mario Thevis (German Sport University Cologne) [ abstract ]
- Ron Heeren (Maastricht University) [ abstract ]
- Bernd Bodenmiller (University of Zurich) [ abstract ]
|SGMS Meeting||SGMS School Only||SGMS and School||SGMS Meeting||SGMS School Only||SGMS and School|
|Single Room Occupancy
|Double Room Occupancy
|Student (double room - indicate roommate)
|Accompanying person (indicate roommate)
A surcharge of CHF 50 will be enforced to all payments submitted after the meeting.
- Early abstract registration: July 15th (Poster/Oral acceptance will be notified by September 1st).
- Abstract registration: September 1st (Poster/Oral acceptance will be notified by September 21st).
- Standard registration: August 31st (Includes one night at the Dorint hotel, Thursday Apéro and SGMS dinner, Friday breakfast, coffee breaks).
- Late registration: October 1st
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Please send your registration to registration(at)sgms(dot)ch not later than October 1st, 2018. There is no need to register personally at the Dorint Hotel Blüemlisalp, Beatenberg! The SGMS committee will manage all hotel reservations and payments. We will strictly follow a first come first serve policy for the hotel room assignment.
SGMS School Registration on the same registration form. Please tick the correct box if you are attending the School, Meeting or Both
There will be an additional fee of CHF 50.- for late registration (after October 1st, 2018).
All PhD students attending the annual SGMS meeting pay a reduced fee of CHF 100.-, but will have to share rooms.
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Check this page for the SGMS School Program
Meeting start: Thursday around noon
3 Oral sessions
2 Oral session
Meeting end: Friday around noon
Program online end of September
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Evan R. Williams
Department of Chemistry
University of California, berkeley
Berkeley, CA 94720
United States of America
Electrospray ionization can produce a virtually unlimited variety of ions that are confined in gaseous aqueous nanodrops of various sizes. A new rapid mixing method that uses theta-glass capillaries to mix two solutions into various size droplets makes it possible to monitor fast reactions that occur in a range of time frames down to sub microseconds all while using 2000 times less material than conventional mixing apparatus. Precise thermochemical measurements using a method we call ion nanocalorimetry enable accurate electrochemical red-ox potentials to be measured, and this method is used to establish an absolute electrochemical scale entirely from experimental measurements. The use of small droplets to desalt ions in native mass spectrometry applications will be presented. This method makes possible the use of conventional biochemistry buffers, such as Tris, phosphate, MOPS, etc., with high levels of nonvolatile salts, e.g., 150+ mM Na/KCl directly with mass spectrometry analysis. [ top ]
University of Geneva
Department of pharmaceutical Sciences
1 Michel Servet
Due to the ever-increasing number of signals that can be measured within a single run by modern platforms in analytical chemistry, life sciences datasets not only become gradually larger in size, but also more intricate in their structures. Challenges related to making use of this wealth of data include extracting relevant elements within massive amounts of signals possibly spread across different tables, reducing dimensionality, summarizing dynamic information in a comprehensible way and displaying it for interpretation purposes. Metabolomics constitutes a representative example of fast moving research fields taking advantage of recent technological advances to provide extensive sample monitoring. Due to the wide chemical diversity of metabolites, several analytical setups are required to provide a broad coverage of complex samples. While early metabolomic studies relied mainly on NMR, hyphenated methods involving separation techniques and mass spectrometry (GC-MS, LC-MS, CE-MS) have now been demonstrated to be powerful and complementary analytical techniques. Classical hypothesis-driven approaches are no longer applicable to such data collection and dedicated data analysis strategies have to be used. Since several years, the integration and visualisation of multiple highly multivariate datasets constitute key issues for effective analysis leading to valuable biological or chemical knowledge. Multivariate methods based on the computation of latent variables or components, such as principal component analysis (PCA) and partial least squares (PLS) regression constitute potent tools to provide compact data representations and diagnostic tools for the detection of relevant variables. Nevertheless, most of these approaches lack the ability to fully exploit more complex data structures such as (1) multifactorial, (2) longitudinal and (3) multiblock setups. As presented in this lecture through examples, dedicated modelling algorithms, able to cope with the inherent properties of these MS metabolomic datasets are therefore mandatory for harnessing their complexity and provide relevant information. In that perspective, chemometrics has a central role to play in the choice of the appropriate methodology. [ top ]
German Sport University Cologne
Sports drug testing laboratories are facing multifaceted challenges including the misuse of naturally/endogenously occurring substances, non-approved/discontinued drug candidates, urine manipulation, etc. In order to provide best-possible analytical performance, mass spectrometry-based approaches are predominantly utilized to detect prohibited substances and methods of doping. With the constantly increasing analytical requirements concerning the number of target compounds, the complexity and range of physico-chemical properties of analytes (e.g., inorganic ionic transition metals, gases, lipids, alkaloids, peptides, proteins, DNA/RNA-based drugs, etc.) as well as the desire to accelerate analyses and obtain information allowing also for retrospective data mining, the combined qualities of low resolution tandem mass spectrometric analysis and high resolution/high accuracy mass spectrometry have become mainstays in doping controls.
In that context, various assays have been reported, enabling either multi-component analyses of low- or high molecular mass measurands or the specific and dedicated (confirmatory) detection of prohibited substances. Selected applications will be presented reporting on examples of recent findings in routine sports drug testing, demonstrating both the inventiveness of cheating individuals that undermine current anti-doping efforts as well as the relevance of in-depth investigations into unusual findings, where the athletes’ innocence was to be shown albeit prohibited substances were unequivocally identified in their doping control urine samples. Moreover, an excursion into advantages and limitations of alternative matrices potentially applicable to doping controls will be presented. [ top ]
Ron M.A. Heeren
Faculty of Health, Medicine and Life Sciences
6229 ER Maastricht
New Mass Spectrometry based chemical microscopes that target biomedical tissue analysis in various diseases as well as other chemically complex surfaces have now firmly established themselves in translational research. In concert they elucidate the way in which local environments can influence molecular signalling pathways on various scales, from molecule to man. The integration of this pathway information in a surgical setting is imminent, but innovations that push the boundaries of the technology and its application are still needed. In particular, researchers investigate comprehensive and isolated biomolecular molecular patterns of health and disease. This is a key element needed to pave the way for personalized medicine and tissue regeneration. One barrier to predictive, personalized medicine is the lack of a comprehensive molecular understanding at the tissue level. As we grasp the astonishing complexity of biological systems (whether single cells or whole organisms), it becomes more and more evident that within this complexity lies the information needed to provide insight in the origin, progression and treatment of various diseases. The best way to capture disease complexity is to chart and connect multilevel molecular information within a tissue using mass spectrometry and data algorithms.
A key element to accelerate the generation of novel insights into the complexity of biomolecular surfaces is the continuous improvement of resolution. Spatial resolution, Molecular resolution and maybe more importantly, structural resolution are rapidly improving. The combination of high resolution technologies (TWIMS-MS, FTICR-MS and Orbitrap MS) with smart ion chemistry, ion mobility separation, stable isotope labelling approaches, ambient ionization, new data acquisition approaches and funnel based MALDI ion sources allows us to address some of the open challenges that still exist in the field of imaging MS. A novel elevated pressure MALDI imaging ion source is described and employed to reveal local isomeric structures. More precisely, we have employed OzID in combination with MALDI-MSI to reveal the regulatory role of lipid isomeric forms in a variety of diseases.
It is evident that a single analytical technology merely yields a subset of the molecular information needed to obtain an in depth understanding of a clinical problem. Multimodal approaches enable the study of clinical samples at a variety of molecular and spatial scales. The distribution of several hundreds of molecules on the surface of complex (biological) surfaces can be determined directly in complementary imaging MS experiment with different desorption and ionization strategies. High throughput, high resolution MALDI techniques offer three-dimensional molecular data on the tissue level. The combination with tools from structural biology makes it possible to perform imaging experiments at length scales from cells to patients. [ top ]
Bernd Bodenmiller: Highly multiplexed imaging of tissues in health and disease using mass cytometry.
Evan R. Williams
University of Zurich
Institute of Molecular Life Sciences
Cancer is a tissue disease. Heterogeneous cancer cells and normal stromal and immune cells form a dynamic ecosystem that evolves to support tumor expansion and ultimately tumor spread. The complexity of this dynamic system is the main obstacle in our attempts to treat and heal the disease. The study of the tumor ecosystem and its cell-to-cell communications is thus essential to enable an understanding of tumor biology, to define new biomarkers to improve patient care, and ultimately to identify new therapeutic routs and targets.
To study and understand the workings of the tumor ecosystem, highly multiplexed image information of tumor tissues is essential. Such multiplexed images will reveal which cell types are present in a tumor, their functional state, and which cell-cell interactions are present. To enable multiplexed tissue imaging, we developed imaging mass cytometry (IMC). IMC is a novel imaging modality that uses metal isotopes of defined mass as reporters and currently allows to visualize over 50 antibodies and DNA probes simultaneously on tissues with subcellular resolution. In the near future, we expect that over 100 markers can be visualized. We applied IMC for the analysis of breast cancer samples in a quantitative manner. To extract biological meaningful data and potential biomarkers from this dataset, we developed a novel computational pipeline called histoCAT geared for the interactive and automated analysis of large scale, highly multiplexed tissues image datasets. Our analysis reveals a surprising level of inter and intra-tumor heterogeneity and identify new diversity within known human breast cancer subtypes as well as a variety of stromal cell types that interact with them.
In summary, our results show that IMC provides targeted, high-dimensional analysis of cell type, cell state and cell-to-cell interactions within the TME at subcellular resolution. Spatial relationships of complex cell states of cellular assemblies can be inferred and potentially used as biomarkers. We envision that IMC will enable a systems biology approach to understand and diagnose disease and to guide treatment. [ top ]