Publications
Browse our recent publications
Enhanced competitive protein exchange at the nano-bio interface enables ultra-deep coverage of the human plasma proteome
This article explores the unique capacity of nanoparticles, a key component of the Proteograph Product Suite, to be tuned to interact with proteins by tailored surface functionalization and optimized to enable deeper protein access.
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In-Depth Plasma Proteomics Profiling With Nanoparticle-Based Proteograph Workflow: A Performance Evaluation Of Label-Free And TMT Multiplexing Approaches
This poster presented at the American Society for Mass Spectrometry describes a high-throughput multiplexed workflow for 16 biofluid samples. Plasma proteins across 9 orders of magnitude dynamic range including 40 cytokine activity proteins and several members of the TNF superfamily were identified.
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Nanoparticle-Based Method Identifies 2200 Proteins In A Cardiovascular Disease Study Covering Known Biomarkers Among Other Differentially Expressed Proteins
This collaboration with the Broad Institute presented at the American Society for Mass Spectrometry describes a Proteograph™ application for cardiovascular biomarker research using deep plasma proteomics. Over 2000 proteins were detected in each individual patient sample with a total of over 4000 across 16 samples.
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Proteomic Profiling Of Prostate Cancer Plasma Specimens Using Proteograph And TIMS Technology
This poster presented at the American Society for Mass Spectrometry from Oregon Health Sciences University describes a Proteograph™ application proof-of-concept pilot study on 32 prostate cancer serum specimens retrospectively collected from patients with high and low tumor grades.
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The utility of nanoparticle protein coronas for studying the plasma glycoproteome
This collaboration between Seer and Protein Metrics presented at the American Society for Mass Spectrometry describes the formation of NP protein coronas that enable analysis of subpopulations of the glycoproteome without the need for subsequent, glycopeptide-specific enrichment.
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Cloud scalable omics data analysis pipeline using serverless task infrastructure
This poster presented at the American Society for Mass Spectrometry describes the Proteograph™ Analysis Suite featuring multiple, integrated MS/MS database search engines including MaxQuant and DIA-NN, with automatic results generation, QC tools to evaluate data quality, and differential expression analysis for seamless generation of proteomics results.
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Mass spectrometry data acquisition with machine learning methods for deep plasma protein characterization
This poster describes an informed MS acquisition strategy improving sample-specific peptide/protein identification rates as well as reduced DDA stochasticity in repeated injections. The workflow leverages Seer’s current nanoparticles and generalized enrichment behaviors to inform MS instruments to increase orthogonality across panels maximizing ID rates.
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Deep Plasma Proteomics at Scale: A machine learning enhanced multi nanoparticle approach to improve the depth of plasma proteome coverage
Presented at the American Society for Mass Spectrometry, this poster highlights Proteograph™ platform performance comparison vs other mid-high throughout untargeted, label free plasma proteomics.
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Proteograph™ Analysis Suite: A cloud-scalable software suite for proteogenomics data analysis and visualization
This poster describes a cloud-scalable omics software supporting data analysis for the entire Proteograph Product Suite.
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Deep plasma proteomics studies at scale
Presented at the 2021 British Society for Proteome Research meeting, this poster provides an overview of Seer’s proprietary engineered nanoparticles that enable deep plasma proteomics studies at scale.
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