Tradeshow
Dec 04, 2022 - Dec 08, 2022
Cancun International Convention Center | Cancun, Mexico
HUPO 2022 World Congress

Harness the power of proteomics to gain in-depth biological insights, facilitate biomarker discovery, and advance scientific research. By collaborating with the scientific community, Thermo Fisher Scientific has developed pioneering solutions that can help you identify and quantify proteins faster and more accurately, so you can go beyond the limit of what was ever thought possible.

Lunchtime seminars


Beyond ID - Why High Precision and Accuracy for Quantitative Proteomics is Needed for Biological Insights

December 6, 2022

There have been significant advances in MS- based protein identifications resulting in the profiling of thousands of proteins from a sample per run.  However, a complete picture of biology can only be gained through quantitative proteomics, by having more in-depth level of protein intensities, it’s possible to gain more comprehensive studies of networks and cellular processes.

With several techniques available for quantitative proteomics, this workshop will briefly describe the attributes of “high quality quantitation” with examples of how these techniques are chosen to answer that biological question.

Speakers: Lilian Heil, University of Washington and Jesper Olsen, Novo Nordisk Foundation Center for Protein Research

Single Cell Proteomics for Biological Insights – Going beyond one cell at a time for high throughput with no compromise

December 7, 2022

Gaining comprehensive biological insights requires the ability to analyze a statistically significant number of cells. This means optimizing each step of the single cell proteomics workflow for throughput, and sensitivity for maximum identifications and quantification.

This workshop will focus on sample preparation from cell sorting to multiplexed single cell digestion and labeling that enable running hundreds of cells per day with quantitative data, leading to real impactful biological insights across life science research. We will also discuss future developments in advanced chromatography and separations that deliver high quality and high sensitivity for single cell proteomics.

Speakers: Anjali Seth, Cellenion and Ryan Kelly, Brigham Young University

Posters


  • A high-sensitivity and high-throughput LCMS platform for single-cell proteomics analysis
  • A toolkit for characterization of membrane proteins: rapid LC-native MS, Direct Mass Technology mode and electron capture dissociation
  • Assessing MUC5AC expression levels in lung tissue samples through Mass Spectrometry-based proteomics
  • Democratization of metaproteome analysis by combining fully automated sample preparation and AI-driven data analysis
  • DIA performance in discovery and quantitation analysis on ne Orbitrap Exploris Mass Spectrometers
  • Glycoprotein characterization combining native, PTCR and Direct Mass Technology mode mass spectrometry
  • High resolution DIA: A workflow for highly accurate relative label-free quantification of microbial proteins in complex cell lysates
  • High-throughput proteomic analysis of stored red blood cells from non-domestic cat species
  • Increasing the depth of single shot proteomics with enhanced data acquisition and processing strategies
  • Long-term stability and reproducibility of nano-, capillary- and micro-flow LC-MS separations: the impact of hardware and separation column
  • NuXL in Proteome Discoverer – A specialized database search engine for the analysis of DNA-/RNA-protein crosslink data
  • Optimization of FAIMS-XL-MS workflow for phosphor-enrichable crosslinkers
  • Optimized sample preparation of phospho-enrichable crosslinkers for mass spectrometry
  • Quantitative analysis of phosphorylated proteins for multiple signaling pathways using the TMTpro and SureQuant targeted mass spectrometry assay panel reagents
  • An automated sample preparation solution for mass spectrometry-based proteomics
  • Improved label-free quantification using the CHIMERYS intelligent search algorithm
  • An automated end to end sample preparation platform for human plasma proteomics analysis
  • A novel intelligent data acquisition Hybrid-DIA mass spectrometry strategy: combining data-driven and hypothesis-driven approaches is one
  • Quantitative multiplexed comparison of colon cancer cell line through automated TMT sample preparation and improved tribrid analysis

Lunchtime seminars


Beyond ID - Why High Precision and Accuracy for Quantitative Proteomics is Needed for Biological Insights

December 6, 2022

There have been significant advances in MS- based protein identifications resulting in the profiling of thousands of proteins from a sample per run.  However, a complete picture of biology can only be gained through quantitative proteomics, by having more in-depth level of protein intensities, it’s possible to gain more comprehensive studies of networks and cellular processes.

With several techniques available for quantitative proteomics, this workshop will briefly describe the attributes of “high quality quantitation” with examples of how these techniques are chosen to answer that biological question.

Speakers: Lilian Heil, University of Washington and Jesper Olsen, Novo Nordisk Foundation Center for Protein Research

Single Cell Proteomics for Biological Insights – Going beyond one cell at a time for high throughput with no compromise

December 7, 2022

Gaining comprehensive biological insights requires the ability to analyze a statistically significant number of cells. This means optimizing each step of the single cell proteomics workflow for throughput, and sensitivity for maximum identifications and quantification.

This workshop will focus on sample preparation from cell sorting to multiplexed single cell digestion and labeling that enable running hundreds of cells per day with quantitative data, leading to real impactful biological insights across life science research. We will also discuss future developments in advanced chromatography and separations that deliver high quality and high sensitivity for single cell proteomics.

Speakers: Anjali Seth, Cellenion and Ryan Kelly, Brigham Young University

Posters


  • A high-sensitivity and high-throughput LCMS platform for single-cell proteomics analysis
  • A toolkit for characterization of membrane proteins: rapid LC-native MS, Direct Mass Technology mode and electron capture dissociation
  • Assessing MUC5AC expression levels in lung tissue samples through Mass Spectrometry-based proteomics
  • Democratization of metaproteome analysis by combining fully automated sample preparation and AI-driven data analysis
  • DIA performance in discovery and quantitation analysis on ne Orbitrap Exploris Mass Spectrometers
  • Glycoprotein characterization combining native, PTCR and Direct Mass Technology mode mass spectrometry
  • High resolution DIA: A workflow for highly accurate relative label-free quantification of microbial proteins in complex cell lysates
  • High-throughput proteomic analysis of stored red blood cells from non-domestic cat species
  • Increasing the depth of single shot proteomics with enhanced data acquisition and processing strategies
  • Long-term stability and reproducibility of nano-, capillary- and micro-flow LC-MS separations: the impact of hardware and separation column
  • NuXL in Proteome Discoverer – A specialized database search engine for the analysis of DNA-/RNA-protein crosslink data
  • Optimization of FAIMS-XL-MS workflow for phosphor-enrichable crosslinkers
  • Optimized sample preparation of phospho-enrichable crosslinkers for mass spectrometry
  • Quantitative analysis of phosphorylated proteins for multiple signaling pathways using the TMTpro and SureQuant targeted mass spectrometry assay panel reagents
  • An automated sample preparation solution for mass spectrometry-based proteomics
  • Improved label-free quantification using the CHIMERYS intelligent search algorithm
  • An automated end to end sample preparation platform for human plasma proteomics analysis
  • A novel intelligent data acquisition Hybrid-DIA mass spectrometry strategy: combining data-driven and hypothesis-driven approaches is one
  • Quantitative multiplexed comparison of colon cancer cell line through automated TMT sample preparation and improved tribrid analysis

Register to attend a lunchtime seminar

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