# Vibrational spectroscopy with metasurface optics (VISMO) for high-throughput identification of protein post-translational modifications

> **NIH NIH R43** · PUMPKINSEED TECHNOLOGIES INC · 2023 · $289,866

## Abstract

Project Summary/Abstract
Proteins are critical to a wide array of cellular processes - from cell signaling to immune responses, nutrient
transport, growth, and metabolic regulation. Proper function of proteins depends sensitively on the type,
location, and abundance of post-translational modifications (PTMs). Aberrations in PTM properties can
degrade protein function and compromise the physiology and function of the cells in which they reside. Indeed,
altered PTMs have been implicated in a variety of diseases, including cancers, auto-immune diseases,
neurodegenerative diseases, and inflammation. Nucleic acid sequencing gives almost no insight into PTM
attributes, and sensitive and high-throughput characterization and quantification of PTMs remains a daunting
challenge for mass spectroscopy (MS) and immunoassays. Pumpkinseed is developing an optics-based and
label-free approach to measure protein PTMs, termed Vibrational Spectroscopy with Metasurface Optics
(VISMO). VISMO offers high-speed analysis of millions of proteins – including their sequence, structure, and
interactions – with three key advantages over other proteomics solutions: (1) In a label-free format, we
uniquely identify each molecule via its vibrational scattering spectra, rather than relying on lower-resolution
fluorescent tagging. (2) Using nanostructured Si chips, we create highly efficient optical resonators that both
dramatically amplify the signal-to-noise ratio – even for very low abundance biomarkers – and increase sample
throughput, with simultaneous measurement of ~3 million proteins per square centimeter. (3) We use
cutting-edge machine learning (ML) algorithms to dissect information-rich features from the vibrational spectra,
including the wavenumbers that correspond to the primary, secondary, and tertiary structure of the protein, as
well as changes related to protein or small-molecule binding. Our Phase I proposal will develop this
revolutionary platform for sensitive, high-throughput, and high-resolution protein detection, including their
abundance, sequence, and PTMs. Aim 1 develops sensors that enable sensitive, few-to-single-molecule
spectroscopy, builds our catalog of spectra for particular amino acids, short peptide sequences, and PTMs;
and develops machine learning (ML) algorithms that provide interpretability to each molecule’s optical
scattering signature. Aim 2 advances our methods for protein sequencing using chemical cleavage and our
patented ‘sequencing by subtraction’ methodology. Phase I results will form the foundation of our Phase II
proposal, with potentially far-reaching impacts on whole-proteome sequencing and protein-profiling of the vast
repertoire of cell types. Biotherapeutic companies and academic researchers studying intact, native proteins
will value the high-resolution that Pumpkinseed’s platform offers compared to existing ELISA-type assays, and
the higher-sensitivity and throughput compared to traditional mass spectrometry. Our approach pr...

## Key facts

- **NIH application ID:** 10761601
- **Project number:** 1R43GM151935-01
- **Recipient organization:** PUMPKINSEED TECHNOLOGIES INC
- **Principal Investigator:** Jack Hu
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $289,866
- **Award type:** 1
- **Project period:** 2023-09-22 → 2024-09-21

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10761601

## Citation

> US National Institutes of Health, RePORTER application 10761601, Vibrational spectroscopy with metasurface optics (VISMO) for high-throughput identification of protein post-translational modifications (1R43GM151935-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10761601. Licensed CC0.

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