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ASMS Annual Conference
06/04/2023 - 06/08/2023
71st ASMS Conference on Mass Spectrometry and Allied Topics is June 4 – 8 in Houston. As the largest gathering of mass spectrometry scientists in the world, we are looking forward to being there to connect with you and learn more about your research discoveries and needs. Seer’s high throughput, automated platform enables proteomics studies at unparalleled scale and speed, providing researchers an exciting new lens on the proteome and for mass spectrometrists, in particular, the opportunity to advance your research in ways like never before.
We invite you to visit our team at BOOTH #813 and check out the following posters and presentations featuring Seer technology.
Seer Breakfast Seminar – Tuesday, June 6, 2023
7:00 AM – 8:00 AM | Room 342 DE
Register
Accelerate Your Proteomics Research: Introducing a High-Throughput Method for Deep Proteomics.
Proteograph™ Product Suite Overview
See more of the proteome at scale.
Karthik Ganapathy, M.S., M.B.A., Seer, Inc.
Proteograph™ Workflow Scalability
Biomarker discovery in a large-scale Alzheimer’s Disease Cohort.
Asim Siddiqui, Ph.D., Seer, Inc.
Proteograph™ Workflow Applications
Aging and health biomarkers in low volume mouse serum.
Nathan Basisty, Ph.D., NIH
Saturday, June 3 & Sunday, June 4
R for mass spectrometry data analysis: getting started.
Two-Day Short Course: 15
Monday, June 5
TimsTOF HT advances plasma proteomics biomarker discovery with significant qualitative and quantitative improvements
Presented by Bruce Wilcox, Prognomiq
Bruker Breakfast Workshop: Proteomics
LC-MS based translational pharmacoproteomics allows the discovery of drug-perturbed liquid biomarkers across species bridging preclinical and clinical biomarker decision-making strategies
Presented by Boehringer Ingelheim Pharma
Poster Number: MP 029
A Comprehensive Strategy for Building and Evaluating Plasma Proteomics DDA Derived Spectral Libraries with ZENO-TOF 7600
Presented by PrognomiQ Inc
Poster: MP 034
Untargeted, deep plasma proteomics and metabolomics analysis in ΔCLN3 porcine model enabling biomarker discovery and mechanistic insights into Batten disease
Poster Number: TP 076
Proteoform Detection in Deep Plasma Proteomics through Peptide Expression Correlation
Poster Number: TP 077
Deep Proteomic Profiling of the Serum Proteome Across the Murine Lifespan
Presented by NIA-NIH, Nathan Basisty Lab
Poster Number: MP 039
Automated and Scalable Cloud-Based Computational Pipeline for Large-scale Unbiased Plasma Proteomics Study
Poster Number: TP 392
Deep, unbiased and quantitative mass spectrometry-based plasma proteome analyses of adaptive response to COVID-19 vaccine.
Poster Number: MP 160
A novel cloud-native pipeline enabling deep, unbiased proteomics at extreme scale
Poster: MP 390
High-throughput plasma proteomics to identify diabetes associated protein biomarkers and pQTLs.
Poster Number: MP 368
LC-MS MS1 image map classification enables real-time sample quality control for nanoparticle-based deep untargeted proteomics.
Poster Number: MP 387
Tuesday, June 6
Applying automated machine learning for classification and regression in large-scale clinical proteomics datasets.
Poster Number: TP 052
Quantitative glycoproteome analysis using a novel nanoparticle-based plasma proteomics workflow.
Poster Number: TP 298
A comparative analysis of different sample preparation methods for human plasma proteomics by LC-MS/MS.
Presented by University of Quebec in Montreal, Lekha Sleno Lab.
Poster Number: TP 588
Evaluation of an unbiased, deep, and scalable multi nanoparticle-based proteomics workflow for limited plasma sample volume from model organisms.
Poster Number: TP 632
Deep plasma protein profiling with a novel fully automated multi nanoparticle-based sample preparation and high throughput data-independent acquisition LC-MS method.
Presented by University of Wisconsin, Josh Coon Lab.
Poster Number: TP 645
Wednesday, June 7
Improvement in quantitation targeting 270 human plasma proteins by MRM/MS with stable-isotope-labelled internal standards with? automated nanoparticle fractionation.
Presented by MRM Proteomics Inc.
Poster Number: WP 049
timsTOF HT improves protein identification and quantitative reproducibility for deep unbiased plasma protein biomarker discovery.
Presented by PrognomiQ Inc.
Poster Number: WP 068
Multi-omics data integration reveals clinical associated biomolecules in type 2 diabetes.
Poster Number: WP 389
A cloud-scalable software suite for large-scale proteogenomics data analysis and visualization.
Poster Number: WP 396
Functionalized nanoparticles enable quantitative and precise large-scale unbiased, deep plasma proteomics.
Poster Number: WP 638
Thursday, June 8
Over 5000 proteins quantified in plasma using DIA-PASEF analysis of nanoparticle protein corona on timsTOF HT Mass Spectrometer.
Presented by The Broad Institute, Steve Carr Lab.
Oral Presentation and Poster Number: ThP 032
Building spectral libraries to enable large-scale quantitative proteomic studies in human plasma.
Poster Number: ThP 239
Large-scale, deep plasma proteomics: an 1800 sample study of Alzheimer’s disease.
Poster Number: ThP 546
An in-depth plasma proteomics workflow powered by a novel HRAM mass spectrometer.
Presented by Thermo Fisher Scientific.
Poster Number: ThP 663
Improving depth of coverage and detection of low-level host cell proteins in biotherapeutic development with novel functionalized multi-nanoparticle platform.
Presented by Johnson & Johnson
Poster Number: ThP 665
A high-throughput and robust multi nanoparticle-based label-free mass spectrometry workflow for deep plasma proteomics at scale.
Poster Number: ThP 684
