ОСНАЩЕНИЕ И УСЛУГИ ДЛЯ НАУЧНЫХ ЛАБОРАТОРИЙ
Html code will be here
Quantum-Si
Next-Generation Protein Sequencing
Explore Quantum-Si next-generation protein sequencing technology for single-molecule protein analysis, proteoform detection, PTM analysis, antibody characterization, protein barcoding, and advanced proteomics research.
Explore Quantum-Si next-generation protein sequencing technology for single-molecule protein analysis, proteoform detection, PTM analysis, antibody characterization, protein barcoding, and advanced proteomics research.
Why Protein Sequencing Matters
- Genomics explains what can happen in a biological system. Proteomics shows what is actually happening at the functional molecular level.
- Proteins are the main functional molecules of the cell. They regulate signaling, metabolism, immune response, cell structure, disease progression, drug response, and therapeutic activity. However, protein analysis remains technically challenging because proteins are chemically diverse, dynamically modified, and often present in complex mixtures with very different abundance levels.
- Traditional proteomics methods, including mass spectrometry, immunoassays, western blotting, and Edman degradation, are powerful but can have limitations depending on the application. Some workflows require specialized infrastructure, complex sample preparation, antibody availability, expert data interpretation, or indirect peptide reconstruction. Subtle amino acid substitutions, isobaric residues, low-abundance proteins, proteoforms, and post-translational modifications can also be difficult to characterize in certain experimental
Quantum-Si’s approach was developed to make protein sequencing more accessible, direct, and information-rich. Instead of relying only on mass-to-charge measurements or antibody binding, the platform reads peptide molecules through dynamic recognition events at the single-molecule level.
Quantum-Si Technology:
Next-Generation Protein Sequencing
Next-Generation Protein Sequencing
Quantum-Si’s Next-Generation Protein Sequencing technology is based on single-molecule detection of peptides using fluorescent amino acid recognizers, enzymatic cleavage, semiconductor-based imaging, and automated software analysis.
The general workflow consists of three main stages:
The general workflow consists of three main stages:
Prepare
Proteins are processed into sequencing-ready peptide libraries. Quantum-Si library preparation reagents are used to digest and functionalize proteins so they can be analyzed on the sequencing chip. The workflow is designed to be accessible for standard molecular biology and proteomics laboratories and can be used with limited amounts of starting material.
Sequence
Prepared peptides are loaded onto the sequencing chip. During sequencing, fluorescently labeled recognizers bind to the N-terminal amino acid of individual peptides. These binding events produce measurable fluorescent signals. Aminopeptidases then sequentially cleave amino acids, allowing the system to interrogate peptide molecules step by step.
Each peptide generates a characteristic kinetic signature. This signature is derived from the behavior of recognizer binding events, including signal intensity, timing, fluorescence properties, and binding kinetics. As sequencing progresses, the platform collects real-time information from many individual peptide molecules in parallel.
Each peptide generates a characteristic kinetic signature. This signature is derived from the behavior of recognizer binding events, including signal intensity, timing, fluorescence properties, and binding kinetics. As sequencing progresses, the platform collects real-time information from many individual peptide molecules in parallel.
Analyze
Sequencing data are processed using Platinum Analysis software. The software interprets single-molecule signals, maps kinetic signatures, and supports protein identification and variant analysis. The goal is to reduce the need for advanced bioinformatics expertise and make protein sequencing data easier to interpret for a wider range of research teams.
Key Technology Advantages
- Single-amino-acid-level informationThe platform is designed to identify sequence-level differences, including amino acid substitutions and proteoform-specific peptide signatures.
- Direct protein detectionQuantum-Si provides a direct protein sequencing workflow without requiring antibody-based detection for every target. This is useful when antibodies are unavailable, insufficiently specific, or unable to distinguish closely related protein isoforms.
- Kinetic signature-based analysisThe system does not rely only on static signal detection. It uses dynamic recognizer binding patterns to generate peptide-specific information. Changes in sequence or modification state can alter kinetic signatures and support identification of protein variants and proteoforms.
- Benchtop accessibilityThe Platinum Pro system is designed as a compact benchtop instrument for standard laboratory environments. It reduces the need for dedicated proteomics infrastructure and makes advanced protein sequencing more accessible to academic, biotechnology, and pharmaceutical laboratories.
- Complementary to mass spectrometryQuantum-Si technology should be viewed as complementary to mass spectrometry rather than a universal replacement. Mass spectrometry remains a central tool in proteomics, while single-molecule protein sequencing can provide additional value for applications where direct sequence information, amino-acid-level discrimination, simplified workflows, or single-molecule resolution are important.
Bring Single-Molecule Protein Sequencing to Your Laboratory
Quantum-Si introduces a new approach to proteomics: direct, single-molecule protein sequencing in a compact benchtop format. The technology enables researchers to analyze proteins with single-amino-acid resolution, generate real-time kinetic data, and detect biologically important protein changes that may be difficult to resolve using conventional proteomics methods alone.
With Quantum-Si’s Next-Generation Protein Sequencing technology, laboratories can move beyond indirect protein detection and gain deeper insight into protein identity, sequence variation, proteoforms, and post-translational modifications. The platform is designed for standard research laboratories and supports applications in molecular biology, biomedical research, translational research, pharmaceutical development, antibody discovery, biomarker research, and protein engineering.
SESANA Genomics helps research teams evaluate, implement, and support advanced sequencing and molecular analysis technologies, including solutions for genomics, transcriptomics, and proteomics workflows.
With Quantum-Si’s Next-Generation Protein Sequencing technology, laboratories can move beyond indirect protein detection and gain deeper insight into protein identity, sequence variation, proteoforms, and post-translational modifications. The platform is designed for standard research laboratories and supports applications in molecular biology, biomedical research, translational research, pharmaceutical development, antibody discovery, biomarker research, and protein engineering.
SESANA Genomics helps research teams evaluate, implement, and support advanced sequencing and molecular analysis technologies, including solutions for genomics, transcriptomics, and proteomics workflows.
Main Applications
Quantum-Si enables direct identification of proteins from purified samples, enriched proteins, gels, immunoprecipitated material, and biological mixtures. This can be valuable when researchers need to confirm the identity of a protein before further experiments, identify unknown gel bands, check for contaminants, or validate enrichment workflows.
Protein identification with Next-Generation Protein Sequencing is especially useful when antibody-based methods are insufficient, when the protein of interest is closely related to other isoforms, or when researchers need amino-acid-level evidence.
Typical use cases include:
Protein identification with Next-Generation Protein Sequencing is especially useful when antibody-based methods are insufficient, when the protein of interest is closely related to other isoforms, or when researchers need amino-acid-level evidence.
Typical use cases include:
- Identification of unknown SDS-PAGE bands.
- Confirmation of recombinant protein identity.
- Analysis of enriched proteins from biological samples.
- Verification of immunoprecipitation targets.
- Detection of possible protein production contaminants.
- Characterization of selected proteins from serum or cell lysates after enrichment or separation.
Small changes in protein sequence can have major biological effects. A single amino acid substitution may alter protein folding, activity, localization, interaction partners, stability, or disease relevance.
Quantum-Si’s single-molecule sequencing approach supports detection of protein variants at the amino acid level. It is relevant for studying isoforms, proteoforms, somatic variants, engineered proteins, viral variants, and biologically important amino acid substitutions.
The technology is also useful for distinguishing isobaric amino acid differences, such as leucine and isoleucine, which can be challenging in some mass spectrometry workflows because they have the same nominal mass.
Typical applications include:
Quantum-Si’s single-molecule sequencing approach supports detection of protein variants at the amino acid level. It is relevant for studying isoforms, proteoforms, somatic variants, engineered proteins, viral variants, and biologically important amino acid substitutions.
The technology is also useful for distinguishing isobaric amino acid differences, such as leucine and isoleucine, which can be challenging in some mass spectrometry workflows because they have the same nominal mass.
Typical applications include:
- Detection of amino acid substitutions.
- Analysis of protein isoforms and closely related proteoforms.
- Characterization of engineered proteins.
- Variant confirmation in disease-related proteins.
- Viral protein variant research.
- Protein family discrimination where sequence similarity is high.
Post-translational modifications regulate protein activity, localization, stability, interactions, degradation, and signaling function. PTMs such as phosphorylation, acetylation, methylation, ubiquitination, glycosylation, and other modifications are central to cell signaling and disease mechanisms.
Quantum-Si’s NGPS platform is designed to detect changes in peptide kinetic signatures associated with proteoforms and PTMs. This gives researchers a direct method for investigating modification-related protein diversity at the single-molecule level.
PTM analysis can support:
Quantum-Si’s NGPS platform is designed to detect changes in peptide kinetic signatures associated with proteoforms and PTMs. This gives researchers a direct method for investigating modification-related protein diversity at the single-molecule level.
PTM analysis can support:
- Cell signaling research.
- Cancer biology.
- Drug mechanism-of-action studies.
- Biomarker discovery.
- Protein regulation studies.
- Comparison of modified and unmodified protein states.
- Characterization of disease-associated proteoforms.
Protein barcoding allows researchers to attach identifiable peptide barcodes to protein constructs or therapeutic candidates and then quantify them using protein sequencing. This enables multiplexed analysis of multiple candidates in a single experiment.
Quantum-Si’s protein barcoding workflow is particularly relevant for therapeutic screening and delivery system optimization. It can be used to compare candidate proteins, engineered constructs, delivery vehicles, or expression outputs in vitro or in vivo.
Applications include:
Quantum-Si’s protein barcoding workflow is particularly relevant for therapeutic screening and delivery system optimization. It can be used to compare candidate proteins, engineered constructs, delivery vehicles, or expression outputs in vitro or in vivo.
Applications include:
- Multiplexed screening of protein variants.
- Lipid nanoparticle delivery research.
- AAV capsid and gene therapy vector analysis.
- mRNA therapeutic candidate screening.
- Protein engineering and directed evolution.
- CRISPR-related protein expression validation.
- Protein localization and trafficking studies.
- Protein-protein interaction studies.
- Protein barcoding can reduce experimental complexity by allowing multiple candidates to be analyzed together, improving throughput and helping research teams prioritize candidates more efficiently.
Antibodies are essential tools in research, diagnostics development, and therapeutic discovery. However, antibody performance depends on specificity, affinity, purity, reproducibility, and target binding behavior.
Quantum-Si’s protein sequencing technology can support antibody characterization by providing deeper insight into protein targets, binding partners, contaminants, and enriched antibody-associated proteins.
Relevant applications include:
Quantum-Si’s protein sequencing technology can support antibody characterization by providing deeper insight into protein targets, binding partners, contaminants, and enriched antibody-associated proteins.
Relevant applications include:
- Confirmation of antibody specificity.
- Assessment of antibody enrichment workflows.
- Detection of contaminants in antibody preparations.
- Identification of binding partners in co-immunoprecipitation experiments.
- Support for therapeutic antibody development.
- Target validation in antibody discovery programs.
Many disease mechanisms are driven not only by genetic variation but also by changes in protein abundance, structure, modification, and interaction. Quantum-Si’s ability to examine proteins at single-molecule and amino-acid-level resolution can support biomarker research, translational studies, and mechanistic disease research.
Research areas include:
Research areas include:
- Cancer biology.
- Inflammation and immune response.
- Neurodegeneration.
- Infectious disease research.
- Rare disease mechanisms.
- Cell signaling disorders.
- Therapy response studies.
- Proteoform-level biomarker discovery.
In pharmaceutical and biotechnology research, protein-level information is essential for target validation, therapeutic candidate selection, quality assessment, and mechanism-of-action studies.
Quantum-Si technology can support:
Quantum-Si technology can support:
- Therapeutic protein characterization.
- Antibody development.
- Gene therapy vector characterization.
- mRNA delivery research.
- AAV serotype profiling.
- LNP screening.
- Protein engineering.
- Candidate selection in early drug discovery.
- Functional proteomics.
- Quality control research for protein production workflows.
Why Work with SESANA Genomics?
SESANA Genomics provides expertise across advanced molecular technologies, including sequencing, microarray analysis, genetic testing, and laboratory implementation. Our team supports researchers and clinicians in selecting appropriate technologies, designing workflows, integrating methods, and interpreting technical requirements.
For laboratories interested in protein sequencing, SESANA Genomics can help evaluate how Quantum-Si technology may fit into existing genomics, transcriptomics, proteomics, or multiomics research programs.
We can support:
Quantum-Si Technology in Multiomics Research
The biological system cannot be fully understood from DNA or RNA data alone. Genomics reveals variants, transcriptomics shows gene expression, and proteomics provides direct information about functional molecules. Protein sequencing adds another layer of biological interpretation by helping researchers understand which proteins and proteoforms are present and how they may differ between conditions.
For laboratories already working with next-generation sequencing, Quantum-Si technology can extend molecular research from genome and transcriptome analysis into direct protein-level investigation.
This enables integrated multiomics studies combining:
By combining genomic and proteomic information, researchers can better connect genetic variants to functional molecular consequences.
SESANA Genomics provides expertise across advanced molecular technologies, including sequencing, microarray analysis, genetic testing, and laboratory implementation. Our team supports researchers and clinicians in selecting appropriate technologies, designing workflows, integrating methods, and interpreting technical requirements.
For laboratories interested in protein sequencing, SESANA Genomics can help evaluate how Quantum-Si technology may fit into existing genomics, transcriptomics, proteomics, or multiomics research programs.
We can support:
- Technology consultation.
- Instrument and workflow evaluation.
- Application matching for specific research goals.
- Reagent and consumable planning.
- Implementation of sequencing workflows.
- Training and technical support.
- Integration with existing molecular biology and sequencing pipelines.
- Multiomics project planning.
Quantum-Si Technology in Multiomics Research
The biological system cannot be fully understood from DNA or RNA data alone. Genomics reveals variants, transcriptomics shows gene expression, and proteomics provides direct information about functional molecules. Protein sequencing adds another layer of biological interpretation by helping researchers understand which proteins and proteoforms are present and how they may differ between conditions.
For laboratories already working with next-generation sequencing, Quantum-Si technology can extend molecular research from genome and transcriptome analysis into direct protein-level investigation.
This enables integrated multiomics studies combining:
- Whole genome sequencing.
- Whole exome sequencing.
- RNA sequencing.
- Single-cell or spatial research workflows.
- Microarray-based analysis.
- Protein identification.
- Protein variant detection.
- PTM analysis.
- Protein barcoding.
- Antibody characterization.
By combining genomic and proteomic information, researchers can better connect genetic variants to functional molecular consequences.