NMR Technologies for Integrating Structure, Function and Disease
Project Number5P41GM136463-04
Contact PI/Project LeaderRIENSTRA, CHAD M Other PIs
Awardee OrganizationUNIVERSITY OF WISCONSIN-MADISON
Description
Abstract Text
INTRODUCTION TO REVISED APPLICATION
The A0 grant was submitted in May 2019, before Prof. Alexander Barnes moved to ETH-Zurich and before Prof.
Chad Rienstra was recruited to UW-Madison. Now Rienstra is officially a Full Professor at UW-Madison, after
having negotiated major investments in the solid-state NMR (SSNMR) program at NMRFAM (new and/or moving
from Illinois) including three shielded 600 MHz magnets, one 750 MHz wide bore magnet, four spectrometers,
several custom-designed magic-angle spinning (MAS) probes at 600-750 MHz, and upgrades to the 900 MHz
spectrometer, which immediately have had an impact on data collection for DBP6 in late 2019 and for other
experiments in progress during early 2020.
Furthermore, the National Science Foundation Mid-Scale Research Infrastructure-2 proposal on "Network for
Advanced NMR", which was submitted by UW-Madison PIs (Rienstra and Henzler-Wildman) in collaboration
with Jeff Hoch at UConn Health and Art Edison at U. Georgia, is in late stages of negotiation and review with
NSF. If funded, this grant would bring a 1.1 GHz dedicated SSNMR spectrometer to NMRFAM in ~2022-23.
These developments have motivated several changes to this A1 application which more explicitly emphasizes
the SSNMR program at NMRFAM:
(1) Rienstra is now contact PI and Henzler-Wildman co-PI.
(2) TR&D1 now includes sub-aims targeting development of micro-rotor packing and sample manipulation
tools to leverage recent breakthroughs in ultra-fast MAS (>100 kHz) at <1 mm rotor diameters; this
broadens the scope and impact of TR&D 1. Baselines and benchmarks for NMR under gradients are also
more clearly described and proof-of-principle experiments are in place.
(3) TR&D2 now addresses critical bottlenecks in SSNMR data collection, emphasizing:
(a) automation for parameter optimization and spectrometer configuration;
(b) new narrow bore magic-angle spinning probe designs at 600-900 MHz (that will be applicable at 1.1
GHz and higher in the future); and
(c) real-time feedback interaction with data processing (TR&D3).
(4) TR&D3 now leverages NMRFAM software products and continuing technology development for solid-
state NMR, including assignment, structure determination, refinement and validation tools, and it is more
clearly integrated with the rest of the proposal.
(5) DBPs 5, 6 and 7 have been changed to include well-developed and impactful collaborations between
Rienstra and Paul Kotzbauer (Wash. U. Medicine, Lewy bodies and synucleiopathies), Marty Burke (U.
Illinois, antifungal drugs), and James Morrissey (U. Michigan, blood coagulation).
Overall the proposal is now organized in (we think) a more logical/chronological manner, with TR&D1
emphasizing samples, TR&D2 the spectrometer and probes, and TR&D3 the software and analysis procedures.
The proposal body further explains how these developments greatly augment the cost-benefit ratio for the project
and integrate with the current user program and the long-term vision of NMRFAM.
The revisions also address the overarching concerns of reviewers of the A0 application including "narrow
scope/modest innovation in TR&D1"; "weak integration of TR&D3"; cost-benefit ratio; preliminary data; solution
vs. solids emphasis of TR&D3; innovation; context (addressing competing ideas and precedents); and specificity
of outcomes. Finally, we have clarified the premise and approach with respect to asymmetry in membrane
proteins.
Public Health Relevance Statement
PROJECT NARRATIVE
The scientific impact of an NMR experiment depends on the sample quality and biological relevance of the
sample conditions, the quality of the NMR data, and the ability to interpret the NMR data. This proposal
develops biological NMR technology across all three areas with the overarching goal of advancing NMR
studies of biomedically important problems. By reducing the time, cost, effort and learning curve to acquire
NMR data and improving the quality and reproducibility of data analysis, we will enable wider application and
increase the scientific value of biomolecular NMR.
NIH Spending Category
No NIH Spending Category available.
Project Terms
3D PrintAccelerationAddressAlgorithmsAmyloidAmyloid FibrilsAreaArecaAutomatic Data ProcessingAutomationAutomobile DrivingBenchmarkingBindingBiologicalBiologyBiomedical ResearchBiomolecular Nuclear Magnetic ResonanceBiotechnologyBlood coagulationCalibrationChadChemicalsChronologyCollaborationsCommunitiesComplexComputer softwareCosts and BenefitsCustomDataData AnalysesData CollectionDedicationsDevelopmentDiameterDiseaseEducational workshopEnsureEnvironmentEnzymesFeedbackFoundationsFree EnergyFundingFutureG-Protein-Coupled ReceptorsGoalsGrantHealthHuman ResourcesIllinoisIn VitroInstructionInvestmentsIonic StrengthsKineticsKnowledgeLearningLewy BodiesLigandsLinuxMagicMeasurementMediationMedicineMembraneMembrane ProteinsMethodsMichiganMicroscopicModelingModernizationMultienzyme ComplexesNMR SpectroscopyNeurodegenerative DisordersNucleic AcidsOperating SystemOutcomePathogenicityPathologyPharmaceutical PreparationsPhysiologicalPreparationProceduresProductivityProteinsProtocols documentationPublishingReportingReproducibilityResearch InfrastructureResolutionResourcesRestRunningSamplingScienceServicesSolidSpecificitySpeedSterolsStructureSurfaceSystemTechnologyTechnology TransferTestingThermodynamicsTimeTissue SampleTranslatingValidationanti-fungal agentsbasecommunity engagementcomputerized data processingcostdata acquisitiondata qualitydesignexperimental studyflexibilitygraphical user interfaceimprovedinnovationionization constantmeetingsnew technologyprogramsprotein foldingquantum chemistryrecruitsenior facultysmall moleculesolid statesolid state nuclear magnetic resonancetechnology developmenttoolweb site
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