# timsTOF Pro Mass Spectrometer

> **NIH NIH S10** · GEORGETOWN UNIVERSITY · 2021 · $599,999

## Abstract

ABSTRACT
Analysis of glycoproteins is a specialized field of protein mass spectrometry. Behavior of peptides differs
substantially from the behavior of glycosylated peptides whose analysis requires adjusted analytical methods.
Few laboratories provide services in glycoproteomics and glycoprotein characterization because of the need
for adjustments of the analytical technics and data interpretation tools. Researchers at the Clinical and
Translational Glycoscience Research Center (CTGRC) at Georgetown University have documented expertise
in analytical glycoproteomics and the CTGRC serves as a major hub for glycoproteomics in the Washington
DC area. Here we request funds for a timsTOF Pro mass spectrometer to enable glycoproteomic projects
supported by the CTGRC. This mass spectrometer has an exceptional combination of trapped ion mobility with
high speed and resolution QTOF mass analyzer. The newly optimized workflows for efficient separation and
fragmentation of glycopeptides on the timsTOF Pro allow unprecedented sensitivity in the detection, resolution
and quantification of glycopeptides. The support from NCRR will enable us to provide expert support, currently
in high demand and short supply, to funded projects at Georgetown University, in the Washington DC area,
and at the National level.

## Key facts

- **NIH application ID:** 10173053
- **Project number:** 1S10OD028623-01A1
- **Recipient organization:** GEORGETOWN UNIVERSITY
- **Principal Investigator:** RADOSLAV GOLDMAN
- **Activity code:** S10 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $599,999
- **Award type:** 1
- **Project period:** 2021-09-01 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173053

## Citation

> US National Institutes of Health, RePORTER application 10173053, timsTOF Pro Mass Spectrometer (1S10OD028623-01A1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10173053. Licensed CC0.

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