Protein Barcoding and Next-Generation Protein Sequencing for Multiplexed Protein Selection, Analysis, and Tracking

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Abstract

Protein barcoding has emerged as a powerful tool for the multiplexed identification and characterization of proteins, providing a mechanism for precise tracking of protein affinity, location, and expression. In this study, we describe the development of a protein barcoding workflow for use with single-molecule Next-Generation Protein Sequencing™ (NGPS™) on the benchtop Platinum ® instrument. We present data on the validation of eight peptide barcodes, each designed to minimize detection bias and maximize sensitivity across various experimental conditions. We have also optimized the design of expression constructs to decrease both the hands-on time and input requirements of the workflow. In this workflow, affinity-tagged proteins are expressed with unique peptide barcodes. Following experimental selection or treatments, the proteins are purified, and the peptide barcodes are cleaved and sequenced on the Platinum instrument. We demonstrate that we can detect barcodes at 400 fmol of sample input concentration within the eight-plex mixture, and at 50 fmol of sample input for individual barcodes. We also show the capacity of this barcoding approach to achieve a ten-fold dynamic range, underscoring its sensitivity in recovering variants with low abundance. Through the combination of protein barcoding and NGPS, we lay the groundwork for future studies aimed at characterizing protein interactions and improving targeted drug delivery strategies.

Motivation

Protein barcoding is an emerging tool for the multiplexed selection, analysis, and tracking of proteins. The motivation for this study was to address the limitations of existing protein barcode detection tools, such as mass spectrometry, which can have drawbacks related to quantification, cost, and accessibility. By integrating a protein barcoding workflow with the benchtop Platinum ® protein sequencer, this work offers a sensitive and accessible approach for protein barcoding in applications ranging from protein engineering to nucleic acid therapy development.

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