i-Tracker: for quantitative proteomics using iTRAQ. - Wikidata - thesis-toulmin - TriplyDB

i-Tracker: for quantitative proteomics using iTRAQ.

i-Tracker: for quantitative proteomics using iTRAQ.

http://www.wikidata.org/entity/Q21266606

about

Defining synphenotype groups in Xenopus tropicalis by use of antisense morpholino oligonucleotides Precise protein quantification based on peptide quantification using iTRAQ.Proteomics of plant pathogenic fungi Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry Analytics for Metabolic Engineering Carcinogenic Parasite Secretes Growth Factor That Accelerates Wound Healing and Potentially Promotes Neoplasia Growth control of the eukaryote cell: a systems biology study in yeast Global changes in the rat heart proteome induced by prolonged morphine treatment and withdrawal Custom 4-Plex DiLeu Isobaric Labels Enable Relative Quantification of Urinary Proteins in Men with Lower Urinary Tract Symptoms (LUTS)An informatic pipeline for the data capture and submission of quantitative proteomic data using iTRAQ Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data.WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomic analysis An Efficient Approach to Evaluate Reporter Ion Behavior from MALDI-MS/MS Data for Quantification Studies Using Isobaric Tags Capture and analysis of quantitative proteomic data.Quantitative proteomic analysis of human lung tumor xenografts treated with the ectopic ATP synthase inhibitor citreoviridin iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer.Investigating the quantitative nature of MALDI-TOF MS.iQuantitator: a tool for protein expression inference using iTRAQ LTQ-iQuant: A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments Quantitative proteomics and biomarker discovery in human cancer Modern approaches to understanding stress and disease susceptibility: A review with special emphasis on respiratory disease A robust error model for iTRAQ quantification reveals divergent signaling between oncogenic FLT3 mutants in acute myeloid leukemia.Proteomic and phosphoproteomic comparison of human ES and iPS cells.PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios Extracting regulator activity profiles by integration of de novo motifs and expression data: characterizing key regulators of nutrient depletion responses in Streptomyces coelicolor.Mapping the Arabidopsis organelle proteome COMPASS: a suite of pre- and post-search proteomics software tools for OMSSA Proteomic technology for biomarker profiling in cancer: an update Isobaric labeling-based relative quantification in shotgun proteomics.Novel isotopic N,N-dimethyl leucine (iDiLeu) reagents enable absolute quantification of peptides and proteins using a standard curve approach Relative quantification of amine-containing metabolites using isobaric N,N-dimethyl leucine (DiLeu) reagents via LC-ESI-MS/MS and CE-ESI-MS/MS.Multiplex analysis of sphingolipids using amine-reactive tags (iTRAQ)Patterns of gene expression associated with recovery and injury in heat-stressed rats.Exposure to cobalt causes transcriptomic and proteomic changes in two rat liver derived cell lines.Daptomycin resistance mechanisms in clinically derived Staphylococcus aureus strains assessed by a combined transcriptomics and proteomics approach In vivo assessment of protease dynamics in cutaneous wound healing by degradomics analysis of porcine wound exudates.Proteomic analysis of an immortalized mouse pancreatic stellate cell line identifies differentially-expressed proteins in activated vs nonproliferating cell states.Expression of Heat Shock and Other Stress Response Proteins in Ticks and Cultured Tick Cells in Response to Anaplasma spp. Infection and Heat Shock.Proteomic analysis of a rat pancreatic stellate cell line using liquid chromatography tandem mass spectrometry (LC-MS/MS).The Protein Phosphatases and Protein Kinases of Arabidopsis thaliana

P2860

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P2860

i-Tracker: for quantitative proteomics using iTRAQ.

http://www.wikidata.org/entity/Q21266606

description

2005 nî lūn-bûn

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2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2005 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2005年の論文

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2005年論文

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2005年論文

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2005年論文

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2005年論文

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2005年論文

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2005年论文

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name

i-Tracker: for quantitative proteomics using iTRAQ

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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type

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i-Tracker: for quantitative proteomics using iTRAQ

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ.

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i-Tracker: for quantitative proteomics using iTRAQ

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Ian P Shadforth

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Kathryn S Lilley

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Tom P J Dunkley

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P2860

Extractor for ESI quadrupole TOF tandem MS data enabled for high throughput batch processing

Probability-based protein identification by searching sequence databases using mass spectrometry data

An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics

Quantitative analysis of complex protein mixtures using isotope-coded affinity tags

Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents

Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics.

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