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Multistage LC-MSn for automated glycan isomer assignment of glycopeptides

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41GM142363-01
Agency Tracking Number: R41GM142363
Amount: $256,570.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: 400
Solicitation Number: PA20-265
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-04-16
Award End Date (Contract End Date): 2022-04-15
Small Business Information
1622 SAN CARLOS AVE, SUITE C
San Carlos, CA 94070-2060
United States
DUNS: 967100921
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 MIKLOS GUTTMAN
 (206) 543-1707
 mguttman@uw.edu
Business Contact
 MARSHALL BERN
Phone: (650) 637-0713
Email: bern@proteinmetrics.com
Research Institution
 UNIVERSITY OF WASHINGTON
 
4333 BROOKLYN AVE NE
SEATTLE, WA 98195-1016
United States

 Nonprofit College or University
Abstract

N- and O-linked glycosylation are some of the most common, abundant, and biologically
important posttranslational modifications of proteins, yet they are also some of the most difficult
to study. The dominant analytical platform for the study of glycosylation is mass spectrometry,
yet this platform on its own is incomplete, because it cannot elucidate glycan topology and
linkage stereochemistry. This project will advance the use of mass spectrometry for glycan
structure determination, especially for the case of O-linked glycans, by studying the ion
propensities of various structural motifs in multi-stage ion trap mass spectrometry, and by
building new software for structure inference from such mass spectra.NARRATIVE
A milieu of complex sugar structures cover the cells of higher organisms and play
critical roles in biology including regulation of host-pathogen interactions and
modulation of the immune system. Understanding the detailed structures of the
sugars that are associated with disease onset can identify ways of preventing
pathogens from infecting cells and provide better ways to detect and target
cancer cells. This project aims to implement recent developments in sugar
analysis by mass spectrometry into a software platform to provide a much-
needed tool to study the biological roles of structural sugars, including regulation
of the immune response and tumor progression.

* Information listed above is at the time of submission. *

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