Easily Identify Individual Components in Complex Samples with PlatinumTM

Targeted protein identification is now possible with the PlatinumTM next-generation protein sequencing platform.


Accessing and sharing protein sequence and proteoform data has never been easier. With Platinum’s compact benchtop size and collaboration-friendly, cloud-based data analysis software, you can effortlessly obtain and share valuable data directly from your lab.


Streamline your workflows with less than three hours of hands-on time and automated, cloud-based proteomics data analysis software. Access proteoform information effortlessly, eliminating the need for bioinformatics expertise or extensive infrastructure.


Embark on deep exploration of the proteins in your sample with the sensitivity and resolution of single-molecule and single amino acid analysis.

In this application note, we explore the enrichment and sequencing of albumin protein from urine using the Platinum™ next-generation protein sequencing workflow. Albumin is an important biomarker for disease diagnosis, and urine offers a non-invasive and easily accessible source for monitoring patient conditions. We describe a workflow that combines affinity-based enrichment with Quantum-Si’s protein sequencing technology to identify and map albumin peptides.

Download the application note to learn more about this powerful method for analyzing biomarkers and protein variants in biofluids.

Here we illustrate the protein sequence of HSA after LysC digestion. These findings demonstrate the effectiveness of the Platinum workflow in accurately identifying and mapping albumin peptides.

The traces for each HSA peptide identified by the software analysis pipeline represent the fluorescence signal recorded during sequencing. By examining these traces, we were able to gain insights into the sequencing data and verify the accuracy of the peptide identification.

This application note introduces Quantum-Si’s Platinum™ instrument, which allows for the direct sequencing and identification of proteins in complex mixtures. By eliminating the need for targeted antibody-based assays, this technology offers a solution to detect multiple proteins simultaneously. We present a method for optimizing sample preparation and demonstrate the feasibility of identifying five distinct recombinant proteins in a mixture.

Download the full application note to learn more about this groundbreaking protein sequencing platform.

We tested the feasibility of detecting multiple proteins on Platinum by combining a mixture of five recombinant proteins (CDNF, FGF2, IL4, GMFB, and PDIA1) and employing protein sequencing to identify them.

To determine if overall peptide coverage would be affected by different library preparation methods, we compared two different mixes with increased complexity.

Read the application note for an in-depth discussion of our methods and results.

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