Discover the Cutting-Edge Frontier of Health Research: Next-Generation Protein Sequencing™ Unveiled!

11 Mar 2024
Jemima Arnold
Editorial Assistant
Katherine Johnson, Senior Director, Product, and Dr. Brain Reed, Head of Research at Quantum-Si

In this free on-demand SelectScience® webinar, join Katherine Johnson, Senior Director, Product, and Dr. Brain Reed, Head of Research at Quantum-Si as they discuss the groundbreaking advancements that promise to revolutionize the understanding of health and disease.

Journey beyond conventional methodologies and delve into the realm of single amino acid resolution, where each molecule holds the key to unraveling the complexities of the human proteome. Unlike conventional DNA and RNA sequencing techniques, this innovative approach offers unparalleled insights at the molecular level, shedding light on the fundamental mechanisms governing biological processes.

Witness the evolution of scientific inquiry as we showcase the latest advancements since the seminal publication in Science in 2022 are showcased. Ongoing research efforts have further expanded proteome coverage, offering researchers an unparalleled toolkit to explore the intricacies of protein function.

The first next-generation protein sequencing technology was published in Science in 2022 demonstrating resolution of single-molecule differences in amino acid sequence on a scalable platform. New advancements have been made with this technology since its inception, increasing coverage of the proteome and enabling researchers to interrogate proteins more robustly and more deeply.

Key learning objectives

  • Learn how next-generation protein sequencing works
  • Discover the enhancements to next-generation protein sequencing that enable more proteome coverage
  • Consider applications that benefit from next-generation protein sequencing
  • Explore future advancements in next-generation protein sequencing

Read on for highlights from the Q&A discussion at the end of the live webinar or register to watch the full webinar on demand >>

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What samples, input materials are compatible with the product and what formats, fresh, fresh–frozen, fixed, or FFPE?

KJ: Any purified protein, whether fresh or frozen could be used as starting material for our library prep and sequencing kits as long as it's prepared. Internally, we have sequenced a number of different proteins, recombinant proteins, antibodies, immunoprecipitated proteins, proteins cut from a gel, and different peptide barcodes as a starting material as well. We've never tried fixed samples, but anyone could try to prep those and then try upstream preparation before entering into our workflow, starting with the library prep.

Can Platinum® detect post-translational modifications (PTMs)?

BR: Platinum® can detect PTMs. We have demonstrated the detection of methionine oxidation in our science paper which was based on using kinetic signatures to tell the difference between a peptide that contained an unmodified methionine residue versus one that was oxidized. More recently, published in an application note, we demonstrated detection of arginine PTMs, including citrullination of arginine and different types of dimethylation. We found here similarly that detection capability is centered on the way that post-translation modifications influence the recognizers and change the kinetic signature. With V2, now, we're providing the customer with output files that contain this kinetic information. So, they would have the capability to analyze that data to investigate PTMs, whatever PTMs that they're interested in.

What is the average percentage coverage sequence this platform provides with a specific example of an antibody?

BR: The vast majority of proteins in the human proteome are predicted to have multiple sequential peptides. As mentioned in the presentation, to get an alignment you need to have at least four recognition segments and three different recognizers that are generating those recognition segments. So when we look at the proteome, 20,000 plus proteins, most proteins have multiple sequential peptides. When we look at a LysC digest, typically, about a third of the peptides in that digest are predicted to be sequencable, but, obviously, the exact number of peptides or percentage of peptides will depend strongly on the sequence of the protein of interest.

Learn more about Technology advancements in Next-Generation Protein Sequencing: watch this webinar on demand>>

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