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Data processing pipelines for comprehensive profiling of proteomics samples by label-free LC-MS for biomarker discovery
Authors:Christin Christin  Bischoff Rainer  Horvatovich Péter
Institution:a Analytical Biochemistry, Department of Pharmacy, University of Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands
b Netherlands Bioinformatics Centre, Geert Grooteplein 28, 6525 GA Nijmegen, The Netherlands
Abstract:Label-free quantitative LC-MS profiling of complex body fluids has become an important analytical tool for biomarker and biological knowledge discovery in the past decade. Accurate processing, statistical analysis and validation of acquired data diversified by the different types of mass spectrometers, mass spectrometer parameter settings and applied sample preparation steps are essential to answer complex life science research questions and understand the molecular mechanism of disease onset and developments. This review provides insight into the main modules of label-free data processing pipelines with statistical analysis and validation and discusses recent developments. Special emphasis is devoted to quality control methods, performance assessment of complete workflows and algorithms of individual modules. Finally, the review discusses the current state and trends in high throughput data processing and analysis solutions for users with little bioinformatics knowledge.
Keywords:2D-LC-MS  two dimensional liquid chromatography coupled to mass spectrometry  AMT  accurate mass and retention time tag  APEX  absolute protein expression  APML  annotated putative peptide markup language  Cap-LC-MS  LC-MS system equipped with capillary LC column (1 mm internal diameter) and using ionspray for ionization  Chip LC  LC-MS system equipped with nano-LC column (75   μm internal diameter) integrated in a microfluidic device and using electrospray for ionization  CID  collision induced dissociation  DDA  data dependent acquisition  emPAI  exponentially modified protein abundance  ETD  electron transfer dissociation  FTMS  Fourier transform ion cyclotron resonance mass spectrometry  HDSS  high dimensionality small sample size problem  HUPO PSI  Human Proteome Organization Proteomics Standard Initiative  LC  liquid chromatography  LC-MS  liquid chromatography coupled to mass spectrometry  MEND  matched filtration with experimental noise determination  MRM  multiple reaction monitoring  MS  mass spectrometry  MS/MS  fragment ion mass spectra of selected precursor ions  MS-1  single stage mass spectrometry  nano-LC  liquid chromatography using chromatographic column of internal diameter smaller than 100   μm  PTM  post translational modification  RSD  relative standard deviation  XML  extensible markup language
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