Cryo-EM 3D Reconstruction of Flexible Particles
Cryo-EM 3D Reconstruction of Flexible Particles
批准号:
8182649
负责人:
Hemant D Tagare
金额:
$28.49万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2015-06-30
关键词:
AlgorithmsBayesian AnalysisBenchmarkingCellsCodeComplexComputer softwareDataDicer EnzymeElectron MicroscopyEnvironmentEnzymesFreedomFreezingHeterogeneityHumanIceImageIndividualMacromolecular ComplexesMethodologyMethodsModelingMolecularMolecular ConformationNegative StainingNoiseProbability TheoryProcessPropertyPythonsRNARNA Interference PathwayRNA Polymerase IIRNA ProcessingShapesSignal TransductionSimulateStructural ModelsStructureTechniquesWritingbasecombatcryogenicsexpectationflexibilityhuman DICER1 proteinimage processingnovel strategiesparticlereconstructionsimulationsoundthree dimensional structure
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Single-particle reconstruction (SPR) electron microscopy is a powerful technique for obtaining the 3D structure of macromolecular complexes in near-native states. A major problem in SPR is that flexibility gives rise to multiple conformations when the macromolecular particles are frozen in vitreous ice. Traditional SPR assumes that macromolecular particles are rigid, and gives good reconstructions only when all particles have the identical structure. We propose to develop new reconstruction methods which eliminate the rigidity assumption altogether. These methods can reconstruct a continuously flexible structure. Two classes of methods are proposed: (a) methods for exploratory analysis which detect the presence of structural conformational change and objectively determine the most dominant modes of flexibility, and (b) post- exploratory flexible particle reconstruction methods which reconstruct in detail the identified modes of flexibility. These methods are based on probability theory and preliminary results with actual data show that they offer significantly higher signal-to-noise ratio (SNR) reconstructions even when the data SNR is as low as -25db. Further, our methods provide a simple interpretation of particle flexibility. We will develop these algorithms and write software modules for incorporation in the SPARX cryo-EM processing environment. As a first application, we will use the software to process negative-staining and cryo-EM images of the human Dicer RNA-processing enzyme. As positive and negative controls, we will also reconstruct the structure of RNA Polymerase II and GroEL.
PUBLIC HEALTH RELEVANCE: Electron microscopy can provide detailed pictures of large molecular complexes from cells. Unfortunately, when the complexes are flexible, they take on different shapes at the instant they are frozen for imaging; in this case the reconstructions are blurred, because they are formed as averages from images of many individual complexes. We propose to develop a new approach for mathematically modeling the flexibility and allowing high-quality reconstructions to be made from flexible molecules such as human Dicer.
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海外基金