Polacco et al., 2011 - Google Patents
Discovering mercury protein modifications in whole proteomes using natural isotope distributions observed in liquid chromatography-tandem mass spectrometryPolacco et al., 2011
View HTML- Document ID
- 8058929146433880828
- Author
- Polacco B
- Purvine S
- Zink E
- LaVoie S
- Lipton M
- Summers A
- Miller S
- Publication year
- Publication venue
- Molecular & cellular proteomics
External Links
Snippet
The identification of peptides that result from post-translational modifications is critical for understanding normal pathways of cellular regulation as well as identifying damage from, or exposures to xenobiotics, ie the exposome. However, because of their low abundance in …
- 238000006011 modification reaction 0 title abstract description 48
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
- G01N33/6848—Methods of protein analysis involving mass spectrometry
-
- 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
- G01N33/6842—Proteomic analysis of subsets of protein mixtures with reduced complexity, e.g. membrane proteins, phosphoproteins, organelle proteins
-
- 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
- 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
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- 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
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- 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
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J49/00—Particle spectrometer or separator tubes
- H01J49/0027—Methods for using particle spectrometers
- H01J49/0036—Step by step routines describing the handling of the data generated during a measurement
-
- 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
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J49/00—Particle spectrometer or separator tubes
- H01J49/02—Details
- H01J49/04—Arrangements for introducing or extracting samples to be analysed, e.g. vacuum locks; Arrangements for external adjustment of electron- or ion-optical components
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Prianichnikov et al. | MaxQuant software for ion mobility enhanced shotgun proteomics | |
| Declercq et al. | MS2Rescore: data-driven rescoring dramatically boosts immunopeptide identification rates | |
| Orsburn et al. | Insights into protein post-translational modification landscapes of individual human cells by trapped ion mobility time-of-flight mass spectrometry | |
| Bowen et al. | Dealing with the unknown: metabolomics and metabolite atlases | |
| Zimmer et al. | Advances in proteomics data analysis and display using an accurate mass and time tag approach | |
| Yuan et al. | pParse: A method for accurate determination of monoisotopic peaks in high‐resolution mass spectra | |
| Wu et al. | SWATH mass spectrometry performance using extended peptide MS/MS assay libraries | |
| Tsou et al. | DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | |
| Beausoleil et al. | A probability-based approach for high-throughput protein phosphorylation analysis and site localization | |
| Prakash et al. | Signal maps for mass spectrometry-based comparative proteomics | |
| Paša-Tolić et al. | Proteomic analyses using an accurate mass and time tag strategy | |
| Zhang et al. | DeMix workflow for efficient identification of cofragmented peptides in high resolution data-dependent tandem mass spectrometry | |
| Cooper et al. | An assessment of AcquireX and Compound Discoverer software 3.3 for non-targeted metabolomics | |
| Vitorino et al. | De novo sequencing of proteins by mass spectrometry | |
| Abdrakhimov et al. | Biosaur: An open‐source Python software for liquid chromatography–mass spectrometry peptide feature detection with ion mobility support | |
| Polacco et al. | Discovering mercury protein modifications in whole proteomes using natural isotope distributions observed in liquid chromatography-tandem mass spectrometry | |
| Ctortecka et al. | Comparative proteome signatures of trace samples by multiplexed data-independent acquisition | |
| Schulz-Trieglaff et al. | LC-MSsim–a simulation software for liquid chromatography mass spectrometry data | |
| Gorshkov et al. | Peptide de novo sequencing of mixture tandem mass spectra | |
| Wang et al. | Inverse 15N‐metabolic labeling/mass spectrometry for comparative proteomics and rapid identification of protein markers/targets | |
| Liu et al. | An enhanced protein crosslink identification strategy using CID‐cleavable chemical crosslinkers and LC/MSn analysis | |
| Webb-Robertson et al. | Current trends in computational inference from mass spectrometry-based proteomics | |
| Guan et al. | Data processing algorithms for analysis of high resolution MSMS spectra of peptides with complex patterns of posttranslational modifications | |
| Zeng et al. | Uncovering missing glycans and unexpected fragments with pGlycoNovo for site-specific glycosylation analysis across species | |
| Yu et al. | MSFragger-DDA+ enhances peptide identification sensitivity with full isolation window search |