This poster, presented at USHUPO describes a performance evaluation between label-free and tandem mass tag multiplex methods for plasma proteomics. The Proteograph Product Suite enables rapid, automated and reproducible sample prep for larger sample cohorts.
Presented at USHUPO 2022, this study describes how nano-bio interactions may be tuned to optimize the binding and capture of a large and diverse set of proteins, including cytokines and hormone signaling proteins.
This article demonstrates the utility of combined unbiased proteomics with transcriptomic analysis, and identified over 400 subject-specific protein variants, showing how the Proteograph Product Suite can support proteogenomics studies.
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.
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.
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.
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.
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.
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.
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.