High-resolution detection of post-translational modifications using single-molecule protein sequencing

ASMS 2026 Poster – Post-translational modifications (PTMs) are critical regulators of protein function  and are extremely diverse in both types and frequencies1 While many PTMs can be readily identified, identification and site localization can still be challenging when the PTM introduces small mass changes or when multiple modification sites are possible Here, we demonstrate how N-terminal amino acid (NAA) recognizer-based sequencing, an emerging single-molecule […]

Single-molecule protein sequencing for the characterization of proteins, purification impurities, and binding kinetics

PEGS Boston 2026 Poster – Accurate and efficient protein identification remains a central challenge in modern biochemistry and molecular biology. Traditional methods often depend on antibody-based detection, which can be limited by antibody availability and specificity, or on complex and costly instrumentation that restricts accessibility for many laboratories. Consequently, there is a growing need for […]

Combining deep mutational scanning and Next-Generation Protein Sequencing to harness dominant protein variants to develop DNA repair inhibitors

AACR 2026 Poster – The most clinically effective DNA repair enzyme inhibitors convert the protein target itself into a therapeutic agent. Topoisomerase poisons block the completion of the topoisomerase reaction resulting in a genotoxic DNA-protein adduct. Similar mechanisms underlie clinically relevant PARP inhibitors and other emerging therapeutics targeting DNA Damage Response proteins. Which repair proteins […]

High-resolution detection of post-translational modifications using single-molecule protein sequencing

AGBT 2026 Poster – Post-translational modifications (PTMs) play a critical role in regulating protein function and cellular processes. However, due to the diversity and complexity of the proteome, methods to detect and quantify PTMs have lagged behind advances in DNA sequencing. While conventional mass spectrometry and antibody-based methods provide valuable information, they are limited in […]

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Identification and characterization of protein complexes using a benchtop single-molecule protein sequencer

US HUPO 2026 Poster – Accurate and efficient protein identification remains a central challenge in modern biochemistry and molecular biology. Traditional methods often depend on antibody-based detection, which can be limited by antibody availability and specificity, or on complex and costly instrumentation that restricts accessibility for many laboratories. Consequently, there is a growing need for […]

Reducing Protein Input for Next-Generation Protein Sequencing on the Platinum® Instrument

US HUPO 2025 Poster – next-generation protein sequencing (NGPS) on the Quantum-Si Platinum® and Platinum® Pro instruments enable the direct analysis of individual proteins at an unprecedented resolution.1 However, one challenge in applying this technology to biological and clinical samples is the limited availability of input protein. Quantum-Si’s Library Preparation Kit, V1 recommends a protein […]

Protein Barcoding and Next-Generation Protein Sequencing for Multiplexed Protein Selection, Analysis, and Tracking

US HUPO 2025 Poster – Protein barcoding has emerged as a powerful tool for the multiplexed identification and characterization of proteins, providing a mechanism for precise tracking of protein affinity, location, and expression. In this study, we describe the development of a protein barcoding workflow for use with single-molecule next-generation protein sequencing (NGPS) on the […]

Accurate Measurement of Peptide Variant Mixtures with Next-Gen Protein Sequencing (NGPS)

US HUPO 2025 Poster – ProteoVue™ is a comprehensive bioinformatics pipeline for single-amino acid variant (SAAV) detection and quantification using the Quantum-Si Platinum® and Platinum® Pro NGPS instruments. ProteoVue integrates pulse calling, recognition segment detection, fluorescence dye classification, and a neural network-driven kinetic signature database to enable variant calling with high sensitivity and specificity. These […]