Discovery Proteomics Services | Mass Spec | Panome Bio

Discovery Proteomics
Unbiased, Mass Spectrometry-Based Proteomic Analysis

Discovery proteomics allows for a global view of the proteome, enabling the identification and relative quantification of thousands of proteins in your samples. Panome Bio’s discovery proteomics offerings enable researchers to explore cellular processes and disease mechanisms with unprecedented depth and insights.

Panome Bio has two species-agnostic discovery proteomics platforms which include a bio-fluid based offering built with the Seer Proteograph™ XT coupled with the Thermo Fisher Orbitrap Astral mass spectrometer as well as a separate, tissue-based untargeted mass spectrometry-based approach well suited for all sample types. With a more complete view of the proteome, the experts at Panome Bio can perform robust multi-omic analyses, profile unknown peptide variants, and achieve insights that were previously not possible.

Pyramid displaying 'omics technology in order of phenotypic relevalance, highlighting proteomics. From greatest to least, metabolomics, proteomics, transcriptomics, genomics.

Our Approaches to Discovery Proteomics

Discovery Proteomics with the
Seer Proteograph™ XT and Orbitrap Astral Mass Spectrometer

Panome Bio utilizes the Seer Proteograph™ XT, a cutting edge proteomic analysis technology to take a deep look at the proteome in biofluids.

Panome Bio's complete experimental workflow with the Seer Proteograph XT from sample submission to personalized data report.

Bottom-up Untargeted
Mass Spectrometry-Based Proteomics

Panome Bio’s discovery proteomics approach is compatible with many sample types including tissues, cells, biofluids, etc. This offering enables discovery proteomics in any experiment, providing clients with accurate and comprehensive proteome profiling, facilitating breakthroughs in biomedical and scientific research.

Panome Bio's complete experimental workflow with bottom-up untargeted mass spec-based proteomics from protein digestion to personalized data report.


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