# Methods for determination of glycoprotein glycosylation similarities among disease states

> **NIH NIH R01** · BOSTON UNIVERSITY MEDICAL CAMPUS · 2020 · $100,000

## Abstract

Abstract
This application addresses NIGMS PAR-17-045 “Focused Technology Research and Development (R01)”.
This initiative supports projects that focus solely on development of technologies with the potential to enable
biomedical research.
Dysregulation of the cellular microenvironment occurs in cancers, neurodevelopmental and neuropsychiatric
diseases. Known as the matrisome, the set of extracellular matrix and cell surface molecules control the
availability of growth factors to cellular receptors and the mechanical-physical properties of the cell
microenvironment. Currently, the limited understanding of regulation of matrisome glycosylation hinders
understanding of the roles of glycosylation-dependent matrisome networks in the basic mechanisms necessary
for targeted intervention of many diseases.
Matrisome function depends on networks of interaction among glycosylated proteins and glycan-binding
lectins. It is not possible using present proteomics and glycoproteomics methods to compare using rigorous
statistics similarities of glycoproteins that differ by disease-related changes in site-specific glycosylation. We
propose to develop technologies to meet this need. Present proteomics methods quantify proteins using a
few representative peptides per gene product; sequence coverage for most proteins is low. Such low
sequence coverage does not suffice to reconstruct the predominant glycosylated proteoforms active in a
biological context. We propose to develop technologies to compare glycoprotein similarities among biological
sample sets. To do this, we will develop MS acquisition and bioinformatics methods for rapid, sensitive and
reproducible mapping of glycoprotein glycosylation to enable statistically rigorous comparison of glycoprotein
similarities. By making these technologies available, we will enable a new level of understanding of the roles
of matrisome networks in human diseases.

## Key facts

- **NIH application ID:** 10135316
- **Project number:** 3R01GM133963-02S1
- **Recipient organization:** BOSTON UNIVERSITY MEDICAL CAMPUS
- **Principal Investigator:** JOSEPH ZAIA
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $100,000
- **Award type:** 3
- **Project period:** 2019-09-01 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10135316

## Citation

> US National Institutes of Health, RePORTER application 10135316, Methods for determination of glycoprotein glycosylation similarities among disease states (3R01GM133963-02S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10135316. Licensed CC0.

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