This poster demonstrates batch effects can contribute to a large amount of the noise in large-scale proteomics datasets compared to biological variations, but deep learning approaches have the ability to integrate diverse proteomics datasets, and the extension of DANN can harmonize data across technical factors while maintaining the fidelity of the biological signal in the data.
This poster demonstrates the Proteograph™ Product Suite facilitates access to lower abundant proteins in the plasma proteome compared to neat plasma digestion, for high-throughput unbiased plasma proetomics analysis.
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.
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.
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.
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.
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.