The Expedit-Isotopomeric CrossLinking Mass Spectrometry (Expedit-ICLMS) technology for mapping global and dynamic protein-protein interaction networks

Information

  • Research Project
  • 9944891
  • ApplicationId
    9944891
  • Core Project Number
    R01GM136974
  • Full Project Number
    1R01GM136974-01
  • Serial Number
    136974
  • FOA Number
    PAR-19-253
  • Sub Project Id
  • Project Start Date
    4/1/2020 - 4 years ago
  • Project End Date
    3/31/2024 - 10 months ago
  • Program Officer Name
    SMITH, WARD
  • Budget Start Date
    4/1/2020 - 4 years ago
  • Budget End Date
    3/31/2021 - 3 years ago
  • Fiscal Year
    2020
  • Support Year
    01
  • Suffix
  • Award Notice Date
    3/18/2020 - 4 years ago

The Expedit-Isotopomeric CrossLinking Mass Spectrometry (Expedit-ICLMS) technology for mapping global and dynamic protein-protein interaction networks

SUMMARY This project seeks to develop new technology to enable global mapping of protein-protein interactions (PPIs) in a condition-specific, timely and affordable manner, by individual researchers interested in specific biological systems. Successful development of this technology is expected to have a transformative effect on all fields of biomedical research, directly addressing the purpose of the Focused Technology Research and Development R01 FOA (PAR-19-253). Global PPI networks are not only the most important resources for understanding the molecular mechanisms underlying normal and aberrant biological processes, but also the bases for understanding genetic interaction networks, constructing gene regulatory networks, and quantitative modeling of biological processes. Current technologies for mapping global PPI networks are labor intensive, time consuming, costly, plagued by false positives/negatives, and do not provide a way for individual researchers to efficiently map global PPI networks for particular biological systems. The proposed technology development is targeted to solve the two most important challenges facing crosslinking-mass spectrometry (CLMS)-based global PPI mapping studies: 1) the complexity of peptide mixtures derived from crosslinking samples with a large number of proteins and a large dynamic range of abundances, and 2) efficient and confident identification of crosslinked peptides by whole proteome database searches. We seek to overcome these challenges by developing a novel crosslinked peptide enrichment strategy, called Expedit, and combining it with the powerful capabilities of ICL crosslinkers, a new class of MS-cleavable, isotopomeric, bi- functional crosslinkers for crosslinked peptide identification. Unique features of ICLs permit 1) efficient determination of individual peptide masses in each crosslink from MS2 spectra, and 2) identification of crosslinked peptides by whole proteome database searching using a single MS2 spectrum per crosslinked peptide. The combination of Expedit with ICLMS is expected to address the major limitations of current CLMS approaches to enable routine large scale PPI studies for the first time. In the Aims, we will first synthesize novel Expedit reagents and evaluate their effectiveness for crosslinked peptide enrichment using increasingly complex mixtures. Once optimized, we will integrate Expedit with ICLMS and evaluate the effectiveness of the technology for building global PPI networks in yeast. We will evaluate the method in terms of the quantity and reproducibility of identified crosslinks/PPIs, the abundances of the identified proteins, their localization, affinities and complex membership (if available). We will compare our PPI networks to previously described yeast PPI networks. The effectiveness of the technology for crosslinked peptide identification will be evaluated by comparing it to state-of-the-art CLMS-based approaches. If successful, this project would provide a general and robust method for studying global PPIs and their dynamics that can be applied to any organism for which a sequenced genome is available.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R01
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
    319381
  • Indirect Cost Amount
    223586
  • Total Cost
    542967
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:542967\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    EBIT
  • Study Section Name
    Enabling Bioanalytical and Imaging Technologies Study Section
  • Organization Name
    INSTITUTE FOR SYSTEMS BIOLOGY
  • Organization Department
  • Organization DUNS
    135646524
  • Organization City
    SEATTLE
  • Organization State
    WA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    981095263
  • Organization District
    UNITED STATES