# Dual Reader Protein Sequencing

> **NIH NIH R43** · ELECTRONIC BIOSCIENCES, INC. · 2022 · $394,141

## Abstract

Project Summary
As it stands today, traditional/standard protein characterization methods have insufficient limits-of-detection,
dynamic range, throughput, cost, accuracy, sensitivity, scale, and/or some combination thereof. Because of
these shortcomings, there are no currently available methods capable of meeting the needs within the
proteomics field: single-cell, proteome-wide characterization/sequencing. New technology must be developed to
advance and revolutionize the field of proteomics, similar to how inventive nanopore-based technology
developments have opened and accelerated the fields of genomics and transcriptomics. Nanopore-based
technology is a very powerful method for molecular characterization and because of this, it has the potential to
also shape the future of protein sequencing. It is one of only a few potential approaches that represent a viable
path to direct, high-throughput, high-sensitivity, single-molecule, protein sequencing capable of characterizing
both low- and high-abundance proteins, which is an absolute necessity for achieving the accuracy and dynamic
range required for comprehensive, enabling protein analyses. During this program, Electronic BioSciences, Inc.
(EBS) aims to develop a completely new nanopore-based technology that will enable de novo protein
sequencing. During this Phase I project, we will develop and build a novel protein sequencing system prototype,
fully assess and optimize the associated workflow/methodology for highly controlled and versatile protein/peptide
characterization, and demonstrate initial sequencing for various proteins and peptides. At the conclusion of this
project, we will have successfully shown concept feasibility for practical nanopore-based protein sequencing.

## Key facts

- **NIH application ID:** 10498088
- **Project number:** 1R43HG012559-01
- **Recipient organization:** ELECTRONIC BIOSCIENCES, INC.
- **Principal Investigator:** Eric Ervin
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $394,141
- **Award type:** 1
- **Project period:** 2022-08-01 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10498088

## Citation

> US National Institutes of Health, RePORTER application 10498088, Dual Reader Protein Sequencing (1R43HG012559-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10498088. Licensed CC0.

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