Seer Launches First-of-its-kind Proteogenomics Workflow to Link Genetic Changes with Protein Variants with Proteograph Analysis Suite 2.0

Seer Inc., a life sciences company commercializing a disruptive new platform for proteomics, announced a new Proteogenomics Workflow that integrates deep, unbiased proteomics with genomics, powered by the Proteograph Analysis Suite 2.0, Seer’s software suite for data analysis and results visualization. The release of the workflow marks another milestone on Seer’s journey to enabling accurate, high-resolution, peptide-level proteogenomics at scale and follows the formation of its Proteogenomics Consortium in the first half of this year.

Understanding the connection between genes and proteins at the peptide sequence-level is necessary to understand human health and disease, drive biomarker discovery and enable the development of novel therapeutics. Proteins dictate the body’s physiological response to disease and are in turn influenced by disease state. A single gene typically gives rise to multiple protein variants, such as splice variants, which can have distinct physiological roles and impact on biology. Each protein variant gives rise to a different profile of peptides, which the Proteograph Product Suite can identify and quantify, resolving known and novel protein variants at the peptide level. Current affinity-based approaches survey changes for a set of predefined protein targets, missing potentially important variants of these predefined proteins and delivering an incomplete view of the relationship between the genome and the proteome.

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Seer’s Proteograph Analysis Suite 2.0 is a key component of the Proteograph Product Suite, which provides unbiased, deep, rapid proteomics at scale that is peptide-centric, and enables high-resolution identification of protein variants. This next version of the Proteograph Analysis Suite incorporates a Proteogenomic Workflow that maps proteomic, peptide-level data to genomic data to identify sample-specific variant peptides not captured in canonical reference databases. The workflow summarizes results in interactive tables and plots, enables the visualization of identified peptides’ relationship to gene structure, protein domain information, and functional regions; and creates browsable peptide data maps at the amino acid level. The Proteograph Analysis Suite’s intuitive visualizations make it faster and easier to discover protein targets for a wide range of applications.

“We’re thrilled to deliver PAS 2.0, this new Proteogenomic Workflow, and our other exciting future improvements that make it easier for different customer groups to adopt deep, unbiased proteogenomics at scale,” said Serafim Batzoglou, Ph.D., Senior Vice President, Data at Seer. “Making proteomic analysis tools more accessible for researchers is one of Seer’s main priorities, and today’s announcement is another step towards achieving that goal.”

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The launch of the Proteogenomic Workflow furthers Seer’s commitment to enabling broader access to proteogenomic tools. In January, Seer formed the Proteogenomics Consortium with Discovery Life Sciences, a global leader in biomarker development and biospecimen solutions utilizing proteomic, genomic, cell, and immunohistochemistry technologies, and SCIEX, a global leader in life science analytical technologies. The collaboration is intended to enable genomics customers to add deep, unbiased proteomics data more easily to their studies, allowing the discovery of new protein variants and novel biomarkers that could lead to therapeutic breakthroughs.

“At Discovery Life Sciences, we are excited by the features we’ve seen demonstrated by this new tool and are eager to incorporate the new features in the Proteograph Analysis Suite 2.0 into our services pipeline at our new facility outside Boston,” said Michael Pisano, Ph.D., Executive Vice President, Proteomics at Discovery Life Sciences.

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