[go: up one dir, main page]

Pak et al., 2013 - Google Patents

Clustering and filtering tandem mass spectra acquired in data-independent mode

Pak et al., 2013

View PDF
Document ID
11350124603039038012
Author
Pak H
Nikitin F
Gluck F
Lisacek F
Scherl A
Muller M
Publication year
Publication venue
Journal of The American Society for Mass Spectrometry

External Links

Snippet

Data-independent mass spectrometry activates all ion species isolated within a given mass- to-charge window (m/z) regardless of their abundance. This acquisition strategy overcomes the traditional data-dependent ion selection boosting data reproducibility and sensitivity …
Continue reading at access.archive-ouverte.unige.ch (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6803—General methods of protein analysis not limited to specific proteins or families of proteins
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/62—Detectors specially adapted therefor
    • G01N30/72—Mass spectrometers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8665—Signal analysis for calibrating the measuring apparatus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/62—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the ionisation of gases; by investigating electric discharges, e.g. emission of cathode
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology

Similar Documents

Publication Publication Date Title
Prianichnikov et al. MaxQuant software for ion mobility enhanced shotgun proteomics
Bilbao et al. A preprocessing tool for enhanced ion mobility–mass spectrometry-based omics workflows
Stow et al. An interlaboratory evaluation of drift tube ion mobility–mass spectrometry collision cross section measurements
Kuhl et al. CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets
Truong et al. Data‐dependent acquisition with precursor coisolation improves proteome coverage and measurement throughput for label‐free single‐cell proteomics
Moseley et al. Scanning quadrupole data-independent acquisition, part A: qualitative and quantitative characterization
Tada et al. Correlation-based deconvolution (CorrDec) to generate high-quality MS2 spectra from data-independent acquisition in multisample studies
Drotleff et al. Guidelines for selection of internal standard-based normalization strategies in untargeted lipidomic profiling by LC-HR-MS/MS
Lyutvinskiy et al. In silico instrumental response correction improves precision of label-free proteomics and accuracy of proteomics-based predictive models
Bern et al. Deconvolution of mixture spectra from ion-trap data-independent-acquisition tandem mass spectrometry
Hirayama et al. Effects of processing and storage conditions on charged metabolomic profiles in blood
Hill et al. Mass spectral metabonomics beyond elemental formula: chemical database querying by matching experimental with computational fragmentation spectra
Krokhin et al. Use of peptide retention time prediction for protein identification by off-line reversed-phase HPLC− MALDI MS/MS
Miura et al. A strategy for the determination of the elemental composition by fourier transform ion cyclotron resonance mass spectrometry based on isotopic peak ratios
Maia et al. Simple peptide quantification approach for MS-based proteomics quality control
Broeckling et al. Comprehensive tandem-mass-spectrometry coverage of complex samples enabled by data-set-dependent acquisition
Garabedian et al. Towards discovery and targeted peptide biomarker detection using nanoESI-TIMS-TOF MS
Whitman et al. Optimization and comparison of information-dependent acquisition (IDA) to sequential window acquisition of all theoretical fragment ion spectra (SWATH) for high-resolution mass spectrometry in clinical toxicology
Zhang et al. MET-XAlign: a metabolite cross-alignment tool for LC/MS-based comparative metabolomics
Gray et al. High-throughput microbore UPLC–MS metabolic phenotyping of urine for large-scale epidemiology studies
Smirnov et al. ADAP-GC 3.2: graphical software tool for efficient spectral deconvolution of gas chromatography–high-resolution mass spectrometry metabolomics data
Lietz et al. Large-scale collision cross-section profiling on a traveling wave ion mobility mass spectrometer
Pak et al. Clustering and filtering tandem mass spectra acquired in data-independent mode
Sangster et al. Investigation of analytical variation in metabonomic analysis using liquid chromatography/mass spectrometry
Herman et al. Mass spectrometry based metabolomics for in vitro systems pharmacology: pitfalls, challenges, and computational solutions