Publications
Browse our recent publications
Delve into scientific posters and publications that showcase the capabilities of our Proteograph technology, which has already yielded more than 36,000 multi-species proteins associated with 300,000+ sequence-confirmed measurements across 1,900+ reactome biological pathways – access our Protein Discovery Catalog for more info.
Robust, High Throughput and Deep Plasma Proteomics Workflow with Engineered Nanoparticle Panels
This poster demonstrates the Proteograph™ Product Suite provides a significant increase in the peptide group and protein group counts versus neat plasma, using a robust high throughput 33min microflow DIA method.
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Deep, Unbiased Multi-omics Approach for the Identification of Pancreatic Cancer Biomarkers from Blood
This poster, presented at AACR 2022 from Prognomiq, describes a proof-of-concept study using broad phenotypic multi-omics approach to identify known and unknown biomarkers in a pancreatic cancer cohort.
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Incorporation of Glycoproteome Detection into Large Scale Unbiased Proteomics Studies Utilizing Nanoparticles
This poster, presented at USHUPO from Prognomiq describes how Seer’s Proteograph™ nanoparticle technology specifically captures unique proteoforms in the corona formation and allow for comprehensive assessment of the circulating glycoproteome.
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Engineered nanoparticles enable deep proteomics studies at scale by leveraging tunable nano–bio interactions
This study examines in detail the relationship between the unique physicochemical properties of a panel of proprietary engineered nanoparticles (NPs) and the diverse pattern of protein sampling that is enabled by a unique nano-bio interface that is created between a given NP surface and a given biological sample.
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Deep and Unbiased Plasma Profiling of Alzheimer’s and Mild Cognitive Impairment Subjects with a Novel Multi-nanoparticle Approach
This work, presented at USHUPO, describes a 200-sample study to classify protein biomarkers for AD and MCI conditions in a rapid, reproducible fashion to enable more powerful clinical studies.
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Deep, Rapid and Unbiased Plasma Proteomics with Differential Analysis of Proteoforms Enabling Proteogenomic Studies in a NSCLC Study
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.
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Multi-nanoparticle Workflow Enables Deep Plasma Proteomics at Scale with Enhanced Precision and Depth of Coverage
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.
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Enhanced Competition at the Nano–Bio Interface Enables Comprehensive Characterization of Protein Corona Dynamics and Deep Coverage of Proteomes
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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