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PROTEOMICS

MALDI-ToF mass spectrometry

Top-down proteomics approach for analyzing intact proteins in serum.

MALDI-ToF MS Platform Overview

We use Matrix Assisted Laser Desorption / Ionization Time of Flight (MALDI-ToF) mass spectrometry to interrogate the proteome — including post-translational modifications and splice variants — without the need to identify specific protein biomarkers in advance.

Key Benefits of MALDI-ToF MS

bdx-tube-icon Minimal Sample Input - as little as 20 μL of serum or plasma
bdx-check-icon High Likelihood of Proteomic Signature Discovery
bdx-multiplex-icon Highly Multiplexed & High Throughput
bdx-icon-differentiators-15 Differentiates Splice Variants & PTMs
bdx-target-icon Robust &
Reproducible
bdx-doctor-icon Established Clinical Dx Testing

Host Biology: The Circulating Proteome

We develop multivariate proteomic tests that can measure protein abundance to gain a real-time comprehensive view of a patient’s immune profile and changing disease state. Blood-based proteomic analyses reflect innate or adaptive immune responses that may affect clinical outcomes on immunotherapy and other treatments.

Mass Spectrometry

Taking a biologically agnostic snapshot of the circulating proteome using MALDI-ToF mass spectrometry.

Machine Learning Test Design

Converting the acquired molecular data into a clinical test using modern machine learning.

Our test design approach

Biological Mechanism

Interpreting the host’s biology using multiple assessment methods, such as LC-MS and biological pathway protein set scoring.

The VeriStrat®​ Test

  • Multivariate test that identifies the chronic elevation of acute phase reactants
  • Profiles both acute and chronic inflammatory states, which are known to be associated with aggressive cancer
  • Impacts treatment strategy and facilitates disease state monitoring
  • Clinically available and reimbursed for over 210 million lives in the U.S.
Learn more about Veristrat

ImmunoStrat®​ Protein Signatures​

The ImmunoStrat® suite of protein signatures have been designed to interrogate a patient’s circulating proteome with the goal of predicting response to various immunotherapies across multiple tumor types.

Lung Cancer Risk of Recurrence Test

  • We have designed a pre-treatment serum protein signature that can identify stage I non-small cell lung cancer patients who have a high-risk of recurrence post-curative resection and may benefit from the addition of adjuvant therapy.
  • This test is currently for research use only.

Biological Pathway Protein Set Scoring

  • We have adapted the well-established methods of gene set enrichment analysis (GSEA) to understand protein pathways that are associated with different protein signature test results. ​
  • Pathways include: glycolytic processes, complement system, acute response, wound healing, interleukin-10 and immune response type II.

Custom Signature Discovery​

  • We design custom protein signatures with machine learning to support our partners drug development programs.
  • These tests are designed to help answer specific clinical questions, including selecting patients for immunotherapies, novel therapy combinations, or alternative treatment pathways.
Learn more about our test design process

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