There will be vendor lunch seminars scheduled on Monday and Tuesday. If your company is interested in hosting a vendor lunch seminar, please visit our exhibitor page
for order form.
Monday, March 12, 2018 | 12:15 - 01:30 pm, Deer - Elk Lake
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During this informative seminar the technology behind the new timsTOF Pro, a novel QTOF instrument with a Trapped Ion Mobility Spectrometry (TIMS) front end, using the Parallel Accumulation Serial Fragmentation (PASEF) method will be described. In addition, exciting new applications in shotgun proteomics enabled by the technology described in the first talk will be discussed.
Highest Sensitivity, Highest Speed and Robust DDA Shotgun Proteomics with the timsTOF Pro Powered by PASEF
Gary Kruppa, Ph. D., Vice President Proteomics, Bruker Daltonics Inc., Billerica MA
Applications of PASEF on the timsTOF Pro for High Sensitivity Proteomics, Proximity Ligation Workflows and Multiplexed Analysis
Chris Adams, Ph. D., Director of Proteomics, Stanford University Mass Spectrometry (SUMS)
Monday, March 12, 2018 | 12:15 - 1:30 pm, Pine - Maple Lake
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Seminar Description: Taking A Leap To Quantifying the Proteome
Next generation proteomics based on data independent acquisition (DIA) enables deep and reproducible quantification of thousands of proteins in a single measurement experiments (Bruderer et al., 2015, 2017).
DIA workflows overcome the technical limitation of sampling speed of mass spectrometers by isolating broad ranges of peptide ions in parallel-- because of this, powerful data deconvolution algorithms must be utilized. This enables DIA technology to become only limited by the sensitivity of the detector, and not the sequential speed of the mass spectrometer.
Strategies and challenges for large-scale SWATH-MS dataset generation and analysis for quantitative discovery proteomics
Dr. Mukul K. Midha, Institute for Systems Biology, Seattle, USA
Latest advancements in data independent acquisition (DIA) using Spectronaut Pulsar
Dr. Florian Marty, Biognosys AG, Schlieren, Switzerland
Tuesday, March 13, 2018 | 12:15 - 1:30 pm, Deer - Elk Lake
In this seminar, the use of TMT based multiplexing quantitative proteomics for profiling subcutaneously implanted breast cancer patient-derived xenografts (PDXs) will be discussed. PDXs are the best model of primary human tumors and enable cancer researchers to study drug response and tumor biology. The stroma plays an important role in breast cancer progression. In PDX models, the tumor-associated stroma is mouse-derived and can be differentiated from the tumor (human-derived) by analysis of species-unique peptides. Precise and accurate TMT-based multiplexed quantitative proteomics enabled us to discover, in a cohort of 21 breast PDX tumors, that the education of the stroma was highly individualized but biologically coordinated. In particular, proteins involved in immune signaling varied in a subtype- and stage-specific manner. These findings may have future implications for treatment stratification and provide a platform from which to understand tumor-stroma interactions on a large-scale protein level.
Multiplexed Mass Spectrometry Solutions for Cancer Proteomics
Translational proteomics workflows place much greater emphasis on biological replicate analysis of large, well-defined cohorts instead of fewer samples and greater numbers of technical replicates. These also need to be quantitative, with changes across cohorts of samples measured to be precise and accurate. Multiplexed tandem mass tag (TMT) solutions offer greater parallelization potential in quantitative mass spectrometry experiments resulting in greater throughput. Jason Held, Ph.D., Assistant Professor, Washington University School of Medicine, Departments of Medicine, Oncology Division and Department of Anesthesiology
Tuesday, March 13, 2018 | 12:15 - 1:30 pm, Pine - Maple Lake
Signup for Lunch SeminarSeminar Description
Many challenges exist in realizing the potential of Precision Medicine, especially in producing robust, reproducible quantitative proteomics measurements. This workshop will address many of the challenges that currently exist in making these measurements in a high-throughput, industrialized fashion:
• Microflow LC for enhanced workflow robustness and sample throughput
• Cloud-based data processing to address the challenges of large data file and large sample numbers
• Integration with other ‘omics data to provide more complete biological insight
Accelerating Quantitative Proteomics – microflow SWATH® Acquisition
Speaker: Arianna Jones & Guest Speaker