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1.
Mol Cell Proteomics ; 12(2): 539-48, 2013 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-23197788

RESUMO

Hydrogen-deuterium exchange mass spectrometry is an important method for protein structure-function analysis. The bottom-up approach uses protein digestion to localize deuteration to higher resolution, and the essential measurement involves centroid mass determinations on a very large set of peptides. In the course of evaluating systems for various projects, we established two (HDX-MS) platforms that consisted of a FT-MS and a high-resolution QTOF mass spectrometer, each with matched front-end fluidic systems. Digests of proteins spanning a 20-110 kDa range were deuterated to equilibrium, and figures-of-merit for a typical bottom-up (HDX-MS) experiment were compared for each platform. The Orbitrap Velos identified 64% more peptides than the 5600 QTOF, with a 42% overlap between the two systems, independent of protein size. Precision in deuterium measurements using the Orbitrap marginally exceeded that of the QTOF, depending on the Orbitrap resolution setting. However, the unique nature of FT-MS data generates situations where deuteration measurements can be inaccurate, because of destructive interference arising from mismatches in elemental mass defects. This is shown through the analysis of the peptides common to both platforms, where deuteration values can be as low as 35% of the expected values, depending on FT-MS resolution, peptide length and charge state. These findings are supported by simulations of Orbitrap transients, and highlight that caution should be exercised in deriving centroid mass values from FT transients that do not support baseline separation of the full isotopic composition.


Assuntos
Deutério/química , Hidrogênio/química , Espectrometria de Massas/métodos , Peptídeos/análise , Proteínas de Ligação a DNA/química , Medição da Troca de Deutério , Humanos , Espectrometria de Massas/normas , Peso Molecular , Polinucleotídeo 5'-Hidroxiquinase/química , Multimerização Proteica , Proteólise , Coloração e Rotulagem , Eletricidade Estática , Tubulina (Proteína)/química
2.
BMC Bioinformatics ; 10: 162, 2009 May 27.
Artigo em Inglês | MEDLINE | ID: mdl-19473537

RESUMO

BACKGROUND: Hydrogen/deuterium exchange mass spectrometry (H/DX-MS) experiments implemented to characterize protein interaction and protein folding generate large quantities of data. Organizing, processing and visualizing data requires an automated solution, particularly when accommodating new tandem mass spectrometry modes for H/DX measurement. We sought to develop software that offers flexibility in defining workflows so as to support exploratory treatments of H/DX-MS data, with a particular focus on the analysis of very large protein systems and the mining of tandem mass spectrometry data. RESULTS: We present a software package ("Hydra") that supports both traditional and exploratory treatments of H/DX-MS data. Hydra's software architecture tolerates flexible data analysis procedures by allowing the addition of new algorithms without significant change to the underlying code base. Convenient user interfaces ease the organization of raw data files and input of peptide data. After executing a user-defined workflow, extracted deuterium incorporation values can be visualized in tabular and graphical formats. Hydra also automates the extraction and visualization of deuterium distribution values. Manual validation and assessment of results is aided by an interface that aligns extracted ion chromatograms and mass spectra, while providing a means of rapidly reprocessing the data following manual adjustment. A unique feature of Hydra is the automated processing of tandem mass spectrometry data, demonstrated on a large test data set in which 40,000 deuterium incorporation values were extracted from replicate analysis of approximately 1000 fragment ions in one hour using a typical PC. CONCLUSION: The customizable workflows and user-friendly interfaces of Hydra removes a significant bottleneck in processing and visualizing H/DX-MS data and helps the researcher spend more time executing new experiments and interpreting results. This increased efficiency will encourage the analysis of larger protein systems. The ability to accommodate the tandem MS dimension supports alternative data collection and analysis strategies, as well as higher resolution localization of deuteration where permitted by the fragmentation mechanism.


Assuntos
Medição da Troca de Deutério , Espectrometria de Massas , Proteínas/química , Software , Espectrometria de Massas em Tandem , Algoritmos , Gráficos por Computador , Bases de Dados de Proteínas , Modelos Estatísticos , Fragmentos de Peptídeos/química , Peptídeos/química , Dobramento de Proteína , Domínios e Motivos de Interação entre Proteínas , Reprodutibilidade dos Testes , Interface Usuário-Computador
3.
Structure ; 22(10): 1538-48, 2014 Oct 07.
Artigo em Inglês | MEDLINE | ID: mdl-25242457

RESUMO

The integration of biophysical data from multiple sources is critical for developing accurate structural models of large multiprotein systems and their regulators. Mass spectrometry (MS) can be used to measure the insertion location for a wide range of topographically sensitive chemical probes, and such insertion data provide a rich, but disparate set of modeling restraints. We have developed a software platform that integrates the analysis of label-based MS and tandem MS (MS(2)) data with protein modeling activities (Mass Spec Studio). Analysis packages can mine any labeling data from any mass spectrometer in a proteomics-grade manner, and link labeling methods with data-directed protein interaction modeling using HADDOCK. Support is provided for hydrogen/deuterium exchange (HX) and covalent labeling chemistries, including novel acquisition strategies such as targeted HX-MS(2) and data-independent HX-MS(2). The latter permits the modeling of highly complex systems, which we demonstrate by the analysis of microtubule interactions.


Assuntos
Espectrometria de Massas/métodos , Proteômica/métodos , Software , Sítios de Ligação , Deutério , Hidrogênio , Macrolídeos/química , Modelos Moleculares , Simulação de Acoplamento Molecular , Conformação Proteica , Espectrometria de Massas em Tandem/métodos , Tubulina (Proteína)/química , Tubulina (Proteína)/metabolismo
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