NEW CHEMICAL PROBES ENABLE MASS SPECTROMETRY-BASED FOOTPRINTING OF HUMAN PROTEIN STRUCTURE IN LIPID
NEW CHEMICAL PROBES ENABLE MASS SPECTROMETRY-BASED FOOTPRINTING OF HUMAN PROTEIN STRUCTURE IN LIPID
批准号:
10390166
负责人:
MICHAEL L GROSS
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-03-01 至 2023-02-28
关键词:
CellsCellular StructuresChemicalsChemistryCoupledCryoelectron MicroscopyCrystallographyDataDetectionDrug TargetingGoalsHomeostasisHumanHydrophobicityIn VitroIronLabelLaboratoriesLigand BindingLigandsLipid BilayersLipidsMass Spectrum AnalysisMembraneMembrane LipidsMembrane ProteinsMembrane Transport ProteinsMethodsModelingModernizationMotionPhysiological ProcessesProteinsProteomicsReagentReportingResearch PersonnelResolutionSpeedStructureSystembaseimprovedinnovationmass spectrometermetal transporting protein 1millisecondphysical propertyprotein structurestructural biology
中文摘要
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英文摘要
The sensitivity, resolving power, and speed of modern mass spectrometers now afford the
opportunity to develop bottom-up footprinting methods capable of resolving significant structural
and dynamics questions of membrane proteins. This bottom-up approach is a fundamentally more
powerful alternative to the top-down mass spectrometry (MS) studies that have been mainly
limited to bacterial membrane proteins. We focus on human proteins because they participate in
almost all physiological processes and represent more than 60% of drug targets. They, however,
represent the most challenging targets for traditional high-resolution structural methods.
Structures of about 100 of these proteins are known to date, leaving a large gap for footprinting
MS to fill. Our long-term goal is to develop comprehensive footprinting MS methods that offer a
unique approach to structure and dynamics of membrane proteins in live cells and in vitro lipid
bilayers. Our objective here is to synthesize new chemical probes that provide high footprinting
coverage to reveal the ligand interaction and dynamic transport motion of ferroportin, a model
protein representing the largest superfamily of membrane transporters and maintaining iron
homeostasis in humans. Our hypotheses are: (1) Complementary chemistry can maximize the
coverage of footprinting and thereby improve its spatial resolution. Furthermore, tuning the
physical properties of the labeling reagents will allow access to the hydrophobic region of
membrane proteins. (2) Photoactivated fast footprinting can reveal dynamic transporter motions
taking place within milliseconds, which is beyond the current scope of membrane structure biology.
(3) Bio-orthogonal irreversible labeling can be optimized to reveal the cellular structure state of
membrane proteins, a structure that is elusive by crystallography or cryo-EM. Use of these
conventional methods requires purified proteins, but most membrane proteins are insufficiently
stable to withstand demanding purification. Live-cell footprinting completely avoids this giant
difficulty. Our hypotheses are built on extensive preliminary data produced in our laboratories.
Specifically, we continue to demonstrate our capability to explore new chemistry and synthesize
new reagents. Our ongoing studies prove the principle that MS footprinting can reveal ligand-
binding interaction of human membrane proteins in lipid bilayer, and can report on their native
structural state and motion in live cells. To accomplish our goals, we will pursue three specific
aims: (1) develop new chemical probes to provide high footprinting coverage of membrane
proteins; (2) implement the new probes in lipid membrane systems to study the ligand interaction
and millisecond motion of ferroportin; and (3) demonstrate the new probes’ compatibility with live-
cell footprinting by the detection of cellular motions and ligand interactions of ferroportin. Our
innovative footprinting coupled with bottom-up MS proteomics analysis will establish effective,
broad-based footprinting in live cells and lipid membranes. The significance of the proposed
approach will expand because MS-based footprinting can be broadly applied by structural
proteomics researchers to biomedically important human membrane proteins.
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A Biomedical Mass Spectrometry Resource: Ongoing Driving Biomedical Projects
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批准号:10441142
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项目类别:
-
资助金额:$65.99万
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财政年份:2020
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负责人:MICHAEL L GROSS
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依托单位:
New chemical probes enable Mass Spectrometry-based footprinting of human protein structure in lipid membranes and cells
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批准号:10350642
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项目类别:
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资助金额:$40.98万
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财政年份:2019
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负责人:MICHAEL L GROSS
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依托单位:
NEW CHEMICAL PROBES ENABLE MASS SPECTROMETRY-BASED FOOTPRINTING OF HUMAN PROTEIN STRUCTURE IN LIPID MEMBRANES AND CELLS
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批准号:10587527
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项目类别:
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资助金额:$46.57万
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财政年份:2019
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负责人:MICHAEL L GROSS
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依托单位:
A MASS SPECTROMETER FOR PROTEIN FOOTPRINTING
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批准号:8637341
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项目类别:
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资助金额:$44.99万
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财政年份:2014
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负责人:MICHAEL L GROSS
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依托单位:
APPROACHES TO IMPROVE PROTEIN FOOTPRINTING: HIGH PRESSURE DIGESTION
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批准号:8361405
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项目类别:
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资助金额:$1.57万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
HIGH ENERGY COLLISIONAL ACTIVATION
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批准号:8361422
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项目类别:
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资助金额:$0.63万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
UNDERGRADUATE TRAINING IN MASS SPECTROMETRY
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批准号:8361432
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项目类别:
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资助金额:$0.2万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
VISITING SCIENTISTS
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批准号:8361338
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项目类别:
-
资助金额:$0.52万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
STRUCTURAL STUDIES OF GRAMICIDIN & OTHER SELF-ASSOCIATING PEPTIDES
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批准号:8361321
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项目类别:
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资助金额:$0.31万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
CONTRIBUTED PRESENTATIONS AT CONFERENCES
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批准号:8361333
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项目类别:
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资助金额:$2.11万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
INVITED LECTURES AT UNIVERSITIES & CONFERENCES
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批准号:8361336
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项目类别:
-
资助金额:$0.74万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
TOXICOLOGICAL EFFECTS OF QUINONES
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批准号:8361377
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项目类别:
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资助金额:$1.26万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
DEVELOPMENT AND APPLICATION OF PLIMSTEX
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批准号:8361324
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项目类别:
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资助金额:$3.8万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
CONSULTING FOR NCRR AND NIBIB RESOURCES
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批准号:8361475
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项目类别:
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资助金额:$0.43万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
DEVELOPMENT OF PROTEIN TOOL BOX SOFTWARE MODULES
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批准号:8361369
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项目类别:
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资助金额:$0.63万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
SCIENTIFIC JOURNAL EDITING
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批准号:8361334
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项目类别:
-
资助金额:$0.2万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
COMPUTATIONAL METHODS FOR FRAGMENTATION OF BIOMOLECULES - LIPIDS
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批准号:8361318
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项目类别:
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资助金额:$0.79万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
ENCYCLOPEDIA OF MASS SPECTROMETRY
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批准号:8361339
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项目类别:
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资助金额:$0.2万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
SEPARATION METHODS FOR COMPLEX MIXTURES
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批准号:8361351
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项目类别:
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资助金额:$0.94万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
AUTOMATED FINDING OF MODIFIED PEPTIDES FROM TANDEM MS
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批准号:8361348
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项目类别:
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资助金额:$0.63万
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财政年份:2011
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负责人:MICHAEL L GROSS
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依托单位:
海外基金