Next-generation single-molecule protein sequencing technology

Real-time dynamic single-molecule protein sequencing on integrated semiconductor devices

Single peptide molecules were sequenced using the amino acid identifier on the Quantum-Si chip. Image source: Quantum-Si, Inc.

Quantum-Si researchers are working on science This demonstrates how single-molecule protein sequencing via semiconductor chips and time-domain sequencing technologies will transform life sciences and biomedical research. This first-of-its-kind sequencing process provides an unparalleled understanding of proteins that will advance drug discovery and diagnostics, and bring transformative health and disease insights to the world.

Founded by world-renowned scientists, entrepreneurs, and recipients of the National Medal of Technology and Innovation, Dr. Jonathan Rothberg, Quantum-Si develops its next-generation single-molecule protein sequencing technology to create better, more comprehensive approaches to protein research and to impact the diagnosis of modern diseases.

“I am proud and excited to share our first next-generation single-molecule protein sequencing technology with the world,” said Dr. Rosberg, senior author of the paper. “Just as the work I did with my first genomics collaborators on DNA sequencing led to Svante Pääbo’s Nobel Prize, I fully expect early adopters of Quantum-Si technology to make equally profound and impactful discovery.”

Overview of the Quantum-Si protein sequencing platform. Image source: Quantum-Si, Inc.

as described in sciencePublished “Real-time Dynamic Single Molecule Protein Sequencing on Integrated Semiconductor Devices,” Quantum-Si’s semiconductor chips contain millions of wells and can catalog many proteins in parallel and understand how those proteins are modified. single molecule level. The company’s next-generation sequencing systems detect and cleave amino acids using proteins and enzymes derived from natural pathways that perform similar processes in cells. This approach removes the barriers of complex chemistry and large, expensive equipment faced by other technologies, while providing the sensitivity, scalability and accessibility needed to accelerate biomedical research.

“The concept of massively parallel sequencing of single protein molecules using a small benchtop instrument was previously unimaginable,” said study co-author Brian D. Reed, PhD, Quantum-Si research leader. “Researchers have used indirect methods to understand proteins and have been waiting for tools that will transform proteomics in the same way that DNA sequencing has done to genomics. Our platform’s ability to map protein modifications, which are difficult to detect by other techniques, will greatly improve to advance our understanding of the function and regulation of proteins in health and disease.”

Additional information about the Quantum-Si single-molecule protein sequencing process, such as science study, including:

  • A dynamic approach in which individual peptides are probed in real time by a mixture of dye-labeled N-terminal amino acid recognizers and simultaneously cleaved by aminopeptidases;
  • Annotate amino acids and recognize peptide sequences by measuring fluorescence intensity, lifetime, and binding kinetics on integrated semiconductor chips;
  • The recognizer identifies multiple amino acids in an informative manner, enabling the distinction between single amino acid substitutions and post-translational modifications (PTMs), resulting in a more detailed understanding of individual proteins and their variants for future disease identification and prevention.

The article titled “Real-time dynamic single-molecule protein sequencing on an Integrated Semiconductor” was published on October 14, 2022 science And available online and in print.

Scan one protein, one amino acid at a time

More information:
Brian D. Reed, Real-time dynamic single-molecule protein sequencing on integrated semiconductor devices, science (2022). DOI: 10.1126/science.abo7651.

Courtesy of Quantum-Si Incorporated

Citation: Next Generation Single Molecule Protein Sequencing (Oct 13, 2022) Retrieved Oct 13, 2022 from -technology.html

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