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Nautilus Proteome Analysis Platform

Iterative Mapping is designed to achieve deep biological insights that were previously inaccessible

Explore the proteome with Iterative Mapping

Iterative Mapping

Iterative Mapping enables simultaneous, single-molecule analysis of billions of proteins and proteoforms with high accuracy, precision, and industry-leading reproducibility.  It is designed to support deeper biological understanding, novel biomarker discovery, and the advancement of precision medicine.

 

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Technology

Broadscale discovery proteomics

Employ Iterative Mapping to repeatedly interrogate billions of protein molecules simultaneously using novel multi-affinity probes. Just a few hundred of these probes are designed to enable researchers to easily quantify proteins across the full proteome.

Technology

Targeted proteoform analysis

Targeted proteoform analyses provide in-depth views of individual protein molecules. We employ Iterative Mapping of proteoforms to identify targeted sets of modifications and isoform-specific sequences on full-length, single-molecule proteins. These analyses are designed to enable researchers to determine the biological impacts of the full patterns of modification found on proteoforms.

BENEFITS

Advantages of Iterative Mapping

Accuracy

Many single-molecule probing events are designed to provide high confidence in protein and proteoform identifications. IDs are simply counted to deliver accurate abundance measurements.

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Accuracy

Up to 10 billion landing pads per sample provide up to 9 orders of magnitude dynamic range and limit the need for depleting high abundance proteins.

Standardization and scalability

Single-molecule Iterative Mapping underlies all applications of the platform. Ultra-dense single-molecule arrays are designed to scale to the full proteome while streamlined workflows enable implementation in any lab.

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Standardization and scalability

The combined use of hundreds of multi-affinity probes, a machine learning algorithm that parses binding data into high probability protein identifications, and automated workflows minimizes errors and improves reproducibility.

AI-readiness

High quality, simple, scalable, and direct measurements of biology make Nautilus data well-suited for AI integration and multiomic analysis.

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AI-readiness

Delivering digital counts with a simple workflow avoids lengthy, time-consuming data analysis that requires specialized expertise.

Workflow

Integrated workflow from sample prep to protein quantification

STEP 1

Protein library preparation and deposition

Functionalize your proteins to capture and immobilize them on hyper-dense single-molecule arrays.

STEP 2

Repeated probing

Iteratively interrogate every immobilized protein using probes designed to bind single-molecule features indicative of protein or proteoform identity. Machine learning-powered algorithms convert the probe binding patterns into confident protein and proteoform identifications that are summed for robust quantification.

STEP 3

Comprehensive proteomic analysis

The platform generates a simple output format with protein or proteoform identities and counts. Data can be further analyzed in Nautilus’ cloud portal to derive biological insights.

STEP 1

Protein library preparation

Proteins are functionalized to produce a library of single-molecules on a hyper-dense nanoarray.

STEP 2

Proteoform identification and quantification

Targeted probes specific to proteoforms of interest are used to identify proteoforms on the platform. Quantification is performed by counting how many molecules of each proteoform are observed.

STEP 3

Data interpretation

Quantified proteoforms are analyzed with a variety of visualization tools to reveal new insights.

Complete proteome analysis

One method enabling endless applications for full proteome coverage with exceptional detail

Revolutionize proteomics and be one of the first to apply Iterative Mapping in your research

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