Infrared laser spectroscopy of mass-separated metabolites
Infrared laser spectroscopy of mass-separated metabolites
批准号:
9215689
负责人:
ADRIAN ENRIQUE ROITBERG
金额:
$22.27万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-04-01 至 2019-05-31
关键词:
AddressAlgorithmsBenchmarkingBiochemicalBioinformaticsBiologicalBiological MarkersChemicalsColon CarcinomaComplexComplex MixturesComputational algorithmCouplingCustomDataDatabasesDevelopmentDiagnosticDiseaseFingerprintFreezingGoalsGoldIonsLasersLinkLiquid ChromatographyMass Spectrum AnalysisMeasurementMethodologyMethodsMolecularMolecular ConformationPattern RecognitionPreventionProcessProteomicsResearchResolutionSamplingSpectrum AnalysisStructureTechniquesTechnologyTrainingabsorptionbasebiomarker discoverycomplex biological systemscryogenicsexperimental studyhigh throughput analysisinfrared spectroscopyinnovationinsightinstrumentationmetabolomicsmolecular dynamicsnew technologynovelpublic health relevancequantumtandem mass spectrometrytoolvibration
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Challenge: Developments of enabling technologies underpin continuing advances in biomolecular research. For instance, mass spectrometry (MS)-based sequencing techniques have spurned proteomics research in the past decade. Currently, there is no "gold standard" technique in metabolomics that allows a routine characterization of the thousands of constituents contained in these samples. NMR is limited to the more abundant analytes due to sensitivity issues. On the other hand, MS is typically capable of detecting many more features, but is often not able to structurally characterize these molecules. Rationale: By coupling tunable infrared (IR) lasers to mass spectrometry instrumentation, the IR spectra of mass- separated ions can be recorded. IR laser spectroscopy of ions combines the high sensitivity and ability to analyze complex mixtures of MS with the enhanced structural information from vibrational spectroscopy. The technique hence allows a chemical elucidation of many unknowns based on diagnostic vibrations and IR spectral fingerprints. Aim 1: Development of cryogenic mass spectrometry and multiplexed IR spectroscopy. In order to make IR spectroscopy a useful bioanalytical tool for biomolecular ions, it is essential that the IR
spectra of analytes are well- resolved, and thus distinguishable, and that multiple analytes in mixtures can be probed simultaneously in a multiplexed fashion. We propose to develop a custom-built, cryogenic linear ion trap, where the ions are tagged with weakly-bound molecules (e.g. N2), which are selectively detached upon resonant IR absorption. Aim 2: IR spectroscopy of mass-separated metabolites. Our application of IR spectroscopy of biomolecules focuses on metabolites, where we expect the technique to have most potential. Control experiments on standard metabolites will establish how many analytes can be successfully probed in a multiplexed approach. The methodology will then be applied to selected metabolite samples from colon cancer studies, which have previously been analyzed by high- throughput liquid chromatography and high-resolution mass spectrometry. Aim 3: Structural elucidation of unknown metabolites by comparison to computed IR spectra and bioinformatics approaches. The ultimate goal of this proposal is to chemically characterize unknown biomarkers that cannot be identified by current MS approaches. This requires a comparison of the experimental data for each analyte, namely its mass and its IR spectrum, to putative matches from metabolite databases. The IR spectra of known standards (from aim 2) will serve as a training set and as a benchmark for implementing this identification methodology. Innovation and Impact: The techniques developed here are expected to have the largest impact in global metabolomics, where current tandem mass spectrometry methodologies limit the number of constituents that can be identified in these mixtures. We expect the enhanced structural information from vibrational spectroscopy to yield many new insights in biomarker discovery.
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DOI:
10.1007/s13361-016-1366-4
发表时间:
2016-05
期刊:
Journal of the American Society for Mass Spectrometry
影响因子:
3.2
作者:
[Cismesia AP, Bailey LS, Bell MR, Tesler LF, Polfer NC]
通讯作者:
Polfer NC
DOI:
10.1039/c6sc05720a
发表时间:
2017-04-01
期刊:
Chemical science
影响因子:
8.4
作者:
[Smith JS, Isayev O, Roitberg AE]
通讯作者:
Roitberg AE
DOI:
10.1016/j.ijms.2016.09.022
发表时间:
2017-07
期刊:
International journal of mass spectrometry
影响因子:
1.8
作者:
[Patrick AL, Cismesia AP, Tesler LF, Polfer NC]
通讯作者:
Polfer NC
DOI:
10.1007/s13361-018-2026-7
发表时间:
2018-11
期刊:
Journal of the American Society for Mass Spectrometry
影响因子:
3.2
作者:
[Tesler LF, Cismesia AP, Bell MR, Bailey LS, Polfer NC]
通讯作者:
Polfer NC
DOI:
10.1038/sdata.2017.193
发表时间:
2017-12-19
期刊:
Scientific data
影响因子:
9.8
作者:
[Smith JS, Isayev O, Roitberg AE]
通讯作者:
Roitberg AE
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