HUPO RECONNECT 2021 POSTERS
  • HUPO RECONNECT 2021 Posters

    • Total Presentations: 338

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    • P11.01 - Proteograph Analysis Suite: A Cloud-Scalable Software Suite for Proteogenomics Data Analysis and Visualization. (View Slides)

      Harsharn Auluck

      • Presentation


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    • P11.02 - HPPInspector: Automated Community-Scale Validation of Novel Protein Discoveries (View Slides)

      Benjamin Pullman

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    • P11.03 - Proteome-Wide Analysis of Turnover Rates with TurnoveR and Skyline (View Slides)

      Nathan Basisty

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    • P11.04 - DeepLC Can Predict Retention Times for Peptides That Carry As-Yet Unseen Modifications (View Slides)

      Robbin Bouwmeester

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    • P11.05 - The Development of New Tools to Facilitate Proteomics Data Analysis; the UniProt Proteins API. (View Slides)

      Emily Bowler-Barnett

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    • P11.06 - Comprehensive Cancer Tissue-Specific Neural Network Spectral Reference Library (SRL) Generation Using DIA-MS Acquisition (View Slides)

      Daniel Bucio Noble

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    • P11.07 - Tissue Type Prediction Reveals Protein Expression Patterns (View Slides)

      Tine Claeys

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    • P11.08 - Leveraging Large-Scale Comparative Proteomics across the Tree of Life to Improve Human Disease Models (View Slides)

      Rachael Cox

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    • P11.09 - Power of prediction: MS²PIP and DeepLC-based rescoring dramatically boosts immunopeptide identification (View Slides)

      Arthur Declercq

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    • P11.11 - Novel Statistics Tools for Reliable Proteome-Wide Quantification of Post-translational Modifications (View Slides)

      Nina Demeulemeester

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    • P11.12 - ADPR Classification using DPA Clustering Algorithm (View Slides)

      Maria d'Errico

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    • P11.13 - A Transformer for Prediction of MS2 Spectrum Intensities (View Slides)

      Markus Ekvall

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    • P11.15 - Extending INFERYS’ Capabilities to CID and TMT Data for (Non-)Tryptic Peptides (View Slides)

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    • P11.16 - InfineQ: Real-time Cloud-Based DIA Data Processing For High-Throughput Proteomics (View Slides)

      Arnoud Groen

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    • P11.17 - MAGPIE: A Machine Learning Approach for Deciphering Protein-Protein Interactions in Human Plasma (View Slides)

      Emily Hashimoto-Roth

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    • P11.18 - PepGM: A Probabilistic Graphical Model for Taxonomic Profiling of Viral Proteomes and Metaproteomic Samples (View Slides)

      Tanja Holstein

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    • P11.19 - Deep Plasma Proteomics at Scale: a Machine Learning Enhanced Multi-Nanoparticle Approach to Improve the Depth of Plasma Proteome Coverage (View Slides)

      Daniel Hornburg

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    • P11.20 - Evolution of Protein Functional Annotation: Text Mining Study (View Slides)

      Ekaterina Ilgisonis

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    • P11.24 - Introducing a Cloud Scalable Omics Data Analysis Pipeline with a Serverless Task Infrastructure for Large Scale Proteomics Studies (View Slides)

      Hugo Kitano

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    • P11.25 - Increasing the Sensitivity of Neoantigen Identification in Mass Spectrometry-Based Immunopeptidomics Using Supervised Learning with Enhanced Peptide Features (View Slides)

      Kevin Kovalchik

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    • P11.26 - Interactive Statistical and Functional Analysis of Phosphoproteomics Data with Phosphomatics (View Slides)

      Michael Leeming

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    • P11.27 - A Computational Tool for Comprehensive Selection of Potential Cancer Protein Biomarkers in Blood Plasma (View Slides)

      Huiyan Li

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    • P11.28 - Implementing Comet Search Engine into Proteome Discoverer to Improve TMT Real-Time Search Data Processing (View Slides)

      Yang Liu

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    • P11.29 - AI Assisted Protein Identification and de Novo Sequencing in the Cloud (View Slides)

      Bin Ma

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    • P11.30 - lcmsWorld: High-Performance 3D Visualization Software for Mass Spectrometry (View Slides)

      Antony McCabe

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    • P11.31 - MASH-Native: A Universal and Comprehensive Software for Native Mass Spectrometry and Top-down Proteomics (View Slides)

      Sean McIlwain

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    • P11.33 - Deep Plasma Protein Characterization Enabled by Mass Spectrometry (MS) Data Acquisition and Machine Learning (ML) Methods. (View Slides)

      Iman Mohtashemi

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    • P11.34 - Improving the Sensitivity and Specificity of TMT-Labeled Phosphopeptide Identification Using Deep Learning (View Slides)

      Seungjin Na

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    • P11.35 - “Oncoprogx”: Innovative Proteogenomic Software Generating Sample-Specific Database for Mass Spectrometric Protein Identification (View Slides)

      Rei Noguchi

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    • P11.36 - Expanding the Boundaries of Proteomics Data Integration and Visualization in Uniprot. (View Slides)

      Sandra Orchard

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    • P11.37 - CCS-Aware DIA Data Analysis in PaSER (View Slides)

      Robin Park

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    • P11.38 - Application of TIMScore to De Novo Search Engine, DeepNovo in PaSER (View Slides)

      Robin Park

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    • P11.39 - The Selection of Knockout Targets: HepG2 Multi-omics Profiling and Meta-Analysis (View Slides)

      Elena Ponomarenko

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    • P11.40 - PTMeXchange: Reanalysis of Post-translational Modifications and Independent Estimation of False Localisation Rates (View Slides)

      Kerry Ramsbottom

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    • P11.41 - RHybridFinder: An R Package to Process Immunopeptidomic Data for Putative Hybrid Peptide Discovery (View Slides)

      Frederic Saab

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    • P11.42 - SAPID-MSI: Spatially-Aware Protein Identification Algorithm for Mass Spectrometry Imaging (View Slides)

      Soroush Shahryari Fard

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    • P11.43 - Deep Learning Algorithm for CID Peptide Fragmentation Prediction (View Slides)

      Hyeonseok Shin

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    • P11.44 - MetaProClust-MS1: An MS1 Profiling Approach to Metaproteome Screening (View Slides)

      Caitlin Simopoulos

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    • P11.45 - TIMS Viz for Mobility Offset Mass Aligned Interrogation of Complex Samples (View Slides)

      Philipp Strohmidel

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    • P11.47 - Glycan de Novo Sequencing by Deep Learning (View Slides)

      Ngoc Hieu Tran

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    • P11.48 - MS2ReScore: Using Predicted Fragment Ion Intensities and Retention Times to Increase Identification Rates in Metaproteomics without Impacting Sensitivity (View Slides)

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    • P11.49 - Identification of Murine Protein Homologs in the Chinese Hamster Proteome via Sequence Alignment and Machine Learning (View Slides)

      Junmin Wang

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    • P11.50 - Enhancement of MaCPepDB (Mass Centric Peptide Database) (View Slides)

      Dirk Winkelhardt

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    • P11.51 - The R-Package Prolfqua for Proteomics Label-Free Quantification Data Analysis (View Slides)

      Witold Wolski

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    • P11.52 - CHIMERYS: An AI-Driven Leap Forward in Peptide Identification (View Slides)

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    • P12.A01 - The HUPO-PSI Universal Spectrum Identifier (USI) For Mass Spectra (View Slides)

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    • P12.A02 - ProtView: A Software Tool for Protease Selection to Optimise Shotgun Proteomics and Investigate Transcript Activities (View Slides)

      Sophia Puliasis

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    • P12.A03 - PaSER Ex: Real Time Exclusion List (View Slides)

      Patrick Garrett

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    • P12.A05 - Using Multilayer Heterogeneous Networks to Infer Functions of Phosphorylated Sites (View Slides)

      Joanne Watson

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    • P12.A07 - Unipept Desktop: Getting Unipept Ready for Proteogenomics (View Slides)

      Pieter Verschaffelt

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    • P12.A09 - Alignment Strategies of Dia Data and Their Effect on the Quantification Table (View Slides)

      Shubham Gupta

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    • P12.A10 - Real-Time Modification-Tolerant Matching of MS/MS Spectra at the Repository Scale (View Slides)

      Benjamin Pullman

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    • P12.A11 - PRM-LIVE with Trapped Ion Mobility Spectrometry and Its Application in Selectivity Profiling of Kinase Inhibitors (View Slides)

      He Zhu

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    • P12.A12 - Mass Dynamics 1.0: Growing a Streamlined, Web-Based Environment for Analyzing, Sharing and Integrating Proteomics Data. (View Slides)

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    • P12.B01 - MSÂł Analysis of Glycopeptides Using MALDImini™-1 Compact MALDI Digital Ion Trap Mass Spectrometer (View Slides)

      Andreas Baumeister

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    • P12.B02 - High Throughput Single-Shot Proteomics on the Timstof Pro 2 (View Slides)

      Verena Tellstroem

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    • P12.B03 - Doubly Functionalized Magnetic Microspheres with Immobilized Trypsin and LysC Enabling Fast, Easy and Automatable LC-MS Sample Preparation (View Slides)

      Jasmin Johansson

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    • P12.B05 - Deep Metaproteome Analysis using a Vanquish Neo UHPLC System Coupled to an Orbitrap Eclipse Tribrid with FAIMS Pro Interface (View Slides)

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    • P12.B06 - (View Slides)

      Berit Mang

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    • P12.B08 - Evaluation of Dia-PASEF Using Library and Library Free Approaches for Different Gradients (View Slides)

      Diego Assis

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    • P12.B09 - The Impact of a Plug and Play Microflow Ionization Source on High Throughput Proteomics (View Slides)

      Dylan Xavier

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    • P12.B10 - Exploring Human Brain Proteome with Alzheimer’s Disease (AD) With MALDI Imaging Mass Spectrometry in Combination with Shotgun Proteomics (View Slides)

      Yumiko Toyama

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    • P12.B11 - Absolute Quantification of 500 Human Plasma Proteins in Colon Cancer Plasma Samples by Prm-PASEF (View Slides)

      Pierre-Olivier Schmit

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    • P12.B12 - Comparative Evaluation of a New Processing Pipeline for Pasef Label-Free Quantification Analysis. (View Slides)

      Aurelie Meme

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    • P12.B13 - The next-generation all-in-one nano-, capillary- and micro-flow LC system is paving the way for robust, fast, and deep LC-MS proteomics (View Slides)

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    • P12.B14 - Multicentric evaluation of highthroughput low-flow LC-MS proteomic profiling of cell lysates and biofluids (View Slides)

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    • P12.B15 - Impact of Improved MS/MS Duty Cycle On Protein Identification Efficiency using Data Independent Acquisition On a New QTOF Platform (View Slides)

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    • P12.B16 - Benchmark of Micro-flow Chromatograph for Robust Proteomics Analysis (View Slides)

      Yang Liu

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    • P12.B18 - Rapid and Reproducible Phosphoenrichment Using Fe-NTA Magnetic Beads (View Slides)

      Bhavin Patel

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    • P12.B19 - SureQuant Targeted Mass Spectrometry Standards and Assay Panel for Quantitative Analysis of Phosphorylated Proteins from Multiple Signaling Pathways (View Slides)

      Bhavin Patel

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    • P12.B20 - Engineered Multi-Nanoparticle Panels Enable Unmatched Depth and Sensitivity in Plasma Proteomics in Combination with Trapped Ion Mobility Mass Spectrometry (View Slides)

      Moaraj Hasan

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    • P12.B22 - Low Abundance Protein Detection after Acetone Precipitation Using the ProTrap XG (View Slides)

      Victoria Ann Miller

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    • P12.B23 - Combining the Data-Driven and Hypothesis-Driven Approaches in One Go via a Novel Intelligent Data Acquisition Hybrid-Dia Mass Spectrometry Strategy (View Slides)

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    • P12.B24 - Reproducibility and Sensitivity of a Targeted Quantitative Assay for 804 Peptides in Plasma Using a 20 Min Microflow Gradient (View Slides)

      Christie Hunter

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    • P12.B25 - Increased Protein and Peptide Identifications using Zeno MS/MS in Data Dependent Acquisition Workflows (View Slides)

      Alexandra Antonoplis

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    • P12.B26 - S-Trap Turbo: from samples to analysis in record time (View Slides)

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    • P12.B27 - Sample preparation to match analytical advances: 384-well S-Trap plates (View Slides)

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    • P12.C01 - Can the Ultra-fast Proteomics Be Quantitative: Benchmarking directMS1 Method against Label-Based and Label-Free Approaches (View Slides)

      Julia Bubis

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    • P12.C02 - SMART-CARE: A Systems Medicine Approach to Stratification of Cancer Recurrence Facilitated by Automated MS-Based Clinical Proteomics (View Slides)

      Torsten Müller

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    • P12.C03 - Systematic Identification of ALK Substrates by Phosphoproteome and Interactome Analysis (View Slides)

      Jun Adachi

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    • P12.C05 - Targeted UHPLC-MS/MS Proteomic Analysis Using QPrEST and Single Point Calibration with Application to the Determination of Apolipoproteins in Human Plasma. (View Slides)

      Hatem Elmongy

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    • P12.C07 - Analyzing Protein Fluorosequencing Data, a New Technology for Single Molecule Proteomics (View Slides)

      Matthew Smith

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    • P12.C09 - New Method to Construct a Reference Amino Acid Sequence Database for Metaproteome Analysis (View Slides)

      Nobuaki Miura

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    • P12.C10 - Label-Free Quantification of Oxidized Peptides in eHAP Cell Lines via a High-Throughput Dia-PASEF Workflow (View Slides)

      Romano Hebeler

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    • P12.C11 - Data-Independent Acquisition Method for Ubiquitinome Analysis Reveals Regulation of Circadian Biology (View Slides)

      Fynn Hansen

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    • P12.C12 - The Number of «Missing» Proteins Is a Function of the Analytical Sensitivity of Proteomic Analysis (View Slides)

      Ekaterina Ilgisonis

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    • P12.C13 - Streamlined SDS-based Workflows in the ProTrap XG for Top-down or Bottom-up Proteomics (View Slides)

      Alan Doucette

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    • P12.C14 - Assessment of Bacterial Metaproteome Using Ultra-fast MS/MS-Free Proteomics (View Slides)

      Elizaveta Kazakova

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    • P12.C15 - Number of Detected Proteins as the Function of the Sensitivity of Proteomic Technology in Human Liver Cells (View Slides)

      Nikita Vavilov

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    • P12.C16 - A Comprehensive Quality Control Pipeline for Clinical Biomarker Discovery (View Slides)

      Natasha Lucas

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    • P12.C18 - Comparison of Sample Preparation Methods and Instrumental Platforms for Proteomic Analysis of Murine Brain Tissues and Isolated Brain Cell Types (View Slides)

      Jeewan Babu Rijal

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    • P12.C19 - PEPPI-MS Workflow for Bottom-Up Proteomics (View Slides)

      Nobuaki Takemori

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    • P12.C20 - Specific Cysteine Sulfenic Acid Biomarker Screening by Coupling Mass Spectrometry with Laser Induced Dissociation Applied to Alzheimer’s Disease and COVID-19. (View Slides)

      Jean-valery Guillaubez

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    • P12.C21 - Automated High Throughput DIA-MS Workflow for Plasma Proteomics with Novel Quality Control Procedure (View Slides)

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    • P12.C22 - Critical Assessment of Salt Ions on the Recovery of Proteins through Solvent-Based Precipitation (View Slides)

      Ziheng Dang

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    • P12.C24 - Enhanced Nano-Bio Interaction Enables Deep Plasma Proteomics at Scale, with Enhanced Precision, and Depths of Coverage. (View Slides)

      Shadi Ferdosi

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    • P12.C25 - Neoantigens Identification and Personalized Vaccines Development from Immunopeptidomics Characterization (View Slides)

      Pablo Juanes-Velasco

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    • P12.C27 - The Isotopic AC-IP Tag Enables Multiplexed Proteome Quantification in Data-Independent Acquisition Mode (View Slides)

      Xiaobo Tian

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    • P12.C28 - FLESHIda: Intelligent Data Acquisition for Top-down Proteomics That Doubles Proteoform Identification Count (View Slides)

      Kyowon Jeong

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    • P12.C29 - Quantitative Assessment of Enzyme Activity in the Presence of Surfactants: Implications for Bottom-Up Proteomics (View Slides)

      Jessica Nickerson

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    • P12.C30 - Rapid Sample Preparation of Cancer Tissue Microarray Sections and FFPE Blocks for Clinical Analysis (View Slides)

      Steven Williams

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    • P12.C31 - Automated Solid-Phase Extraction Methods for High-Throughput Proteomic Sample Preparation (View Slides)

      Erin Humphries

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    • P12.C32 - Targeted Analysis of Protein Biomarkers in Biological Fluids by on-Line Aptamer-Affinity Solid-Phase Extraction Capillary Electrophoresis-Mass Spectrometry (View Slides)

      Roger Pero-Gascon

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    • P12.C34 - Using of SILAC Technique for Studying Therapy-Induced Cell Communication in Ovarian Cancer Cells (View Slides)

      Polina Shnaider

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    • P12.C36 - Glycoprotein Characterization Through Sensitive Analysis Of Glycopeptides By On-line Solid-phase Extraction Capillary Electrophoresis-Mass Spectrometry (View Slides)

      Estela Giménez

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    • P12.C38 - Quantitative Proteomics Identifies Redox Switches That Regulate Fetal and Adult Hematopoiesis (View Slides)

      Kristyna Pimkova

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    • P12.C39 - Development of Immunoaffinity-Selected Reaction Monitoring Assays for the Differential Quantification of Human Endogenous Retrovirus Proteins (View Slides)

      Delaram Dara

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    • P12.C40 - Development of a Peptidome Analysis Method for Submilligram Brain Tissue (View Slides)

      Yoshio Kodera

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    • P12.C42 - Comprehensive Proteomic Characterization of the Intra- And Extracellular Adaptations in Response to Oxidative Stress by OxSWATH (View Slides)

      Sandra Anjo

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    • P12.C44 - Automated, Parallel Protein Extraction for Analysis of Low Input FFPE, (View Slides)

      Nicolas Autret

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    • Fresh Tissue and Cells Clinical Samples with Adaptive Focused Acoustics

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    • P12.C45 - HTPS: A Proteomic High-Throughput Screen to Map Specificity, Cleavage Entropy, Allosteric Changes and Substrates of Proteases (View Slides)

      Federico Uliana

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    • P12.C47 - Mapping Protein Complexes for Unraveling the Hidden Proteome in Ovarian Cancer. (View Slides)

      Diego Fernando Garcia Del Rio

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    • P12.C48 - Developing a Targeted Mass Spectrometry Workflow for Investigating the Tear Proteome from Healthy Volunteers (View Slides)

      Maggy Lépine

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    • P12.C49 - Phosphoproteomic Workflow Optimization for the Analysis of FFPE Tissue Sections (View Slides)

      Gábor Tóth

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    • P12.C50 - Comparison of In-Solution and S-TrapTM Based Sample Preparation for Tear Proteomics Study (View Slides)

      Sung-hei Jimmy Tse

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    • P12.C51 - DeGlyPHER: An Ultrasensitive Method for Analysis of Viral Spike N-Glycoforms (View Slides)

      Sabyasachi Baboo

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    • P13.02 - Identifying Disease-Induced Interactome Changes in the Honey Bee Midgut (View Slides)

      Mopelola Akinlaja

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    • P13.03 - Molecular Weight-Based Proteome Fractionation by Stepwise Organic Solvent Precipitation (View Slides)

      Venus Baghalabadi

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    • P13.04 - Conservation and Conditional Regulation of Protein Ubiquitination (View Slides)

      Inigo Barrio-Hernandez

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    • P13.05 - Proteome Analysis Reveals Pathways of Corticoid- And Shape Constraint-Induced Transdifferentiation of HepaRG Cells (View Slides)

      Charlotte Brun

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    • P13.06 - Cancer Stem Cell Marker DCLK1 Reprograms Small Extracellular Vesicles toward Migratory Phenotype in Gastric Cancer Cells (View Slides)

      Annalisa Carli

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    • P13.07 - Quantitative Phosphoproteomics Reveals Ectopic ATP Synthase on Mesenchymal Stem Cells to Promote Tumor Progression via ERK/c-Fos Pathway Activation (View Slides)

      Yi-Wen Chang

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    • P13.09 - NanoLC-nESI/MS/MS Analysis of Malondialdehyde-Induced Post-Translational Modifications in Breast Cancer Patients (View Slides)

      Hauh-Jyun Chen

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    • P13.10 - A Virus-Host Protein Interactome Comparison of Differentially Pathogenic Arenaviruses (View Slides)

      Bahne Christiansen

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    • P13.11 - New Proteomics Insights in the Characterization of FACs-Sorted Leukocyte-Derived Extracellular Vesicles as “Liquid Biopsy” of Immune Response (View Slides)

      Maria Concetta Cufaro

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    • P13.15 - The Effects of Testosterone Replacement in a Pharmacologically Induced Hypogonadism Cohort: A Controlled Study with Healthy Young Males (View Slides)

      Jéssica Guedes

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    • P13.16 - SpatialOMx on Intracellular Bacteria Reveals Metabolic and Proteomic Phenotypes In-situ (View Slides)

      Corinna Henkel

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    • P13.19 - Profiling the Human Phosphoproteome to Estimate the True Extent of Protein Phosphorylation (View Slides)

      Anton Kalyuzhnyy

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    • P13.20 - Phospho-proteomic Analysis of Microbe-Associated Molecular Patterns (MAMPs) Signalling in Food Security (View Slides)

      Jianan Lu

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    • P13.21 - Towards Nanopore based Single-Molecule Bottom-Up Proteomics (View Slides)

      Florian Lucas

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    • P13.22 - Representing Proteins and Peptides with Variational Feature Information in Graphs using ProtGraph (View Slides)

      Dominik Lux

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    • P13.23 - Unveiling New Proteoforms of the Industrial Workhorse Corynebacterium Glutamicum through Top-down Proteomics (View Slides)

      Reynaldo Magalhães Melo

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    • P13.25 - Identification of Interaction Partners of Calcitonin Receptor-like Receptor in Primary Human Dermal Lymphatic Endothelial Cells. (View Slides)

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    • P13.27 - Use of Proteomics to Study the Antifungal Effect of Metformin on C. albicans (View Slides)

      Gloria Molero

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    • P13.28 - Toward Better Pre-clinical Sarcoma Model Using Decellularized Extracellular Matrix (View Slides)

      Takuya Ono

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    • P13.30 - 1DE Gel-Concentration Procedure for LC-MS/MS Analysis of Sds-Extracts of Human Chorionic Villus (View Slides)

      Natalia Petushkova

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    • P13.31 - Characterization of Biological and Metabolic Responses to PH Changes in Staphylococcus Epidermidis (View Slides)

      Susana Santos

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    • P13.32 - Proteomic analysis of mouse hearts treated with rattlesnake venom revealed modulation of proteins associated with mitochondria and cardiomyopathies (View Slides)

      Wellington da Silva Santos

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    • P13.33 - Proteomic Analysis to Identify Candidate Biomarkers Associated with Skin Co-exposure to Ultraviolet Radiations and Benzo[A]Pyrene (View Slides)

      Michel Seve

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    • P13.34 - High-throughput Lipidomics using (View Slides)

      Premy Shanthamoorthy

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    • P13.35 - Establishment and Characterization of a Novel Cell Line, NCC-MPNST6-C1, Of Malignant Peripheral Nerve Sheath Tumor (View Slides)

      Yooksil Sin

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    • P13.36 - Developing a Pipeline for Isoform-Level Multi-Omics Data Analysis (View Slides)

      Manika Singh

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    • P13.37 - Metabolomic Analysis of Amniotic Fluid Samples Infected by Zika Virus: Microcephalic versus Non-microcephalic Fetuses (View Slides)

      Patricia Sosa Acosta

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    • P13.38 - GSH Mediated Alleviation of AAL Induced Stress in Plants- A Proteomic Approach in Solving the Cryptex of Plant Stress Signaling (View Slides)

      Asma Sultana

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    • P13.39 - Dried Blood Spot as a Biomarker Source: A Bridge between Proteins and Metabolites in the Omics Era (View Slides)

      Silvia Valentinuzzi

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    • P13.40 - The Metaproteomics Initiative: Coordinating International Efforts for Propelling the Functional Characterization of Microbiomes (View Slides)

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    • P13.42 - Glycoproteomic Study of Saccharomyces Cerevisiae Yeast Cell Wall Mannoproteins Reveals a Dynamic Molecular Change Depending on Culture Strategy and Conditions (View Slides)

      Marie Yammine

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    • C.P.01 - Precision Pathology: Mass Spectrometry Proteomics for Early Cancer Detection in Esophageal Disease (View Slides)

      Joe Abdo

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    • C.P02 - IonOpticks packed emitter columns. Your data is only as good as your chromatography (View Slides)

      Jarrod Sandow

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    • C.P.03 - Improving Nano-LC-MS/MS Data Quality Using a Trap-and-Elute Methodology (View Slides)

      Phenomenex

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    • C.P.04 - Leveraging the Power of a Core-Shell Particle to Improve Micro and Nano Flow Separations (View Slides)

      Phenomenex

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    • C.P.05 - Release the Power of Precise Proteomics (View Slides)

      Susan Mockus

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    • C.P.06 - Plasma protein signatures of multi-organ disease states as predictors of COVID-19 outcome severity (View Slides)

      Clare Paterson

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    • C.P.07 - Progress Towards A Proteomic Surrogate Endpoint for Cardiovascular Outcomes (View Slides)

      Steve Williams

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    • C.P.08 - A Standardized Separation Tool for Clinical Omics (View Slides)

      Dorte Bekker-Jensen

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    • C.P.10 - Publish with Expert Review of Proteomics (View Slides)

      James Crosby

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