Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells
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Proteomics and systems biology for understanding diabetic nephropathyCD81 regulates cell migration through its association with Rac GTPase.O18Quant: a semiautomatic strategy for quantitative analysis of high-resolution 16O/18O labeled data.Proteomic analysis of HIV-infected macrophagesA robust method for quantitative high-throughput analysis of proteomes by 18O labeling.Bi-Linear Regression for O Quantification: Modeling across the Elution Profile.Systems biology of tissue-specific response to Anaplasma phagocytophilum reveals differentiated apoptosis in the tick vector Ixodes scapularis.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 early response lymph node proteins in mice treated with titanium dioxide nanoparticlesDefective sarcoplasmic reticulum-mitochondria calcium exchange in aged mouse myocardium.Nuclease Tudor-SN Is Involved in Tick dsRNA-Mediated RNA Interference and Feeding but Not in Defense against Flaviviral or Anaplasma phagocytophilum Rickettsial InfectionLabel-free quantification and shotgun analysis of complex proteomes by one-dimensional SDS-PAGE/NanoLC-MS: evaluation for the large scale analysis of inflammatory human endothelial cellsA novel strategy for global analysis of the dynamic thiol redox proteome.The intracellular interactome of tetraspanin-enriched microdomains reveals their function as sorting machineries toward exosomes18O proteomics reveal increased human apolipoprotein CIII in Hispanic HIV-1+ women with HAART that use cocaineThe intracellular bacterium Anaplasma phagocytophilum selectively manipulates the levels of vertebrate host proteins in the tick vector Ixodes scapularisMass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.Venous and arterial endothelial proteomics: mining for markers and mechanisms of endothelial diversity.The application of quantification techniques in proteomics for biomedical research.Quantitative mass spectrometry-based proteomics in angiogenesis.Chromatin remodeller SMARCA4 recruits topoisomerase 1 and suppresses transcription-associated genomic instabilityPhosphatidylcholine-coated iron oxide nanomicelles for in vivo prolonged circulation time with an antibiofouling protein corona.A Novel Systems-Biology Algorithm for the Analysis of Coordinated Protein Responses Using Quantitative ProteomicsPhosphoproteomic analysis of protein kinase C signaling in Saccharomyces cerevisiae reveals Slt2 mitogen-activated protein kinase (MAPK)-dependent phosphorylation of eisosome core components.Caveolin-1 deficiency induces a MEK-ERK1/2-Snail-1-dependent epithelial-mesenchymal transition and fibrosis during peritoneal dialysisAngiogenic and Immunologic Proteins Identified by Deep Proteomic Profiling of Human Retinal and Choroidal Vascular Endothelial Cells: Potential Targets for New Biologic Drugs.Quantitative proteomics by 2-DE, 16O/18O labelling and linear ion trap mass spectrometry analysis of lymph nodes from piglets inoculated by porcine circovirus type 2
P2860
Q28728631-2EDCFAA4-76DC-4D41-85C6-8CCC1DE0D4DAQ30419937-AF471708-916D-4AE2-B93E-6DAAB1D64613Q30829187-CE02A8A9-1635-4D5A-A023-EECCD72C649DQ33770687-83FA1956-0ECF-4B94-B4CC-CEF6B608DE74Q34454936-7E37306F-131F-4B8A-A3BA-ACFC00560964Q35176341-2F629B6A-5AFA-46FE-B8CC-12920E82ABBFQ35225042-BD1A7E96-7895-424F-8583-101EE487CA3BQ35432320-73D962A8-DA89-4520-875B-0D2222AAEC47Q35549102-590C874C-A46D-4547-8881-D1A845F8A884Q35679214-A56F23E7-2022-4BD4-A237-1518EFD75E89Q35695130-A3E867A5-CA9F-4C0F-9326-1C896EF520D7Q36144197-149C88CD-28F2-4F8E-B7E3-8FFC41F008D3Q36211804-3E9301E4-39F4-40C9-A977-189FF25C054AQ36796769-3454D205-F8C1-4B94-A5D9-123EE4C7B4FDQ37161083-12F154EF-92B3-4A78-B406-5CE93AF3253DQ37209470-2B765AE1-1AB2-4554-BB35-B310ED988B59Q37552845-4D0CF9DE-7977-4880-96AD-369F53AC136BQ37818309-703F9954-C906-45B2-BE4F-534160D420B6Q38030883-AD21715B-8A73-4155-8A1A-6C64A37A9E20Q38060665-8407A7CA-F0BD-462C-ADF4-D10B71083BC9Q38266781-7C32E2C1-DD6A-4F1F-9DFC-666526466D9DQ38947400-F3C61BAA-9E1F-4F6A-B69F-E22D4C8F3DD0Q41098279-70B6D959-668C-4A25-B646-7627AA0DEF23Q41462650-69DEBD56-7AFC-4AE6-A8FB-5AF90D2F709CQ41829703-F28663A0-4501-4529-A82F-6711F206E58FQ52646207-C7CD3BF7-6CC0-41CC-BBF7-DA01A1C721BAQ57207383-71EEBC64-0511-42C7-8E0E-656B3C8D120C
P2860
Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Statistical model to analyze q ...... iogenesis in endothelial cells
@ast
Statistical model to analyze q ...... iogenesis in endothelial cells
@en
type
label
Statistical model to analyze q ...... iogenesis in endothelial cells
@ast
Statistical model to analyze q ...... iogenesis in endothelial cells
@en
prefLabel
Statistical model to analyze q ...... iogenesis in endothelial cells
@ast
Statistical model to analyze q ...... iogenesis in endothelial cells
@en
P2093
P2860
P50
P921
P1476
Statistical model to analyze q ...... iogenesis in endothelial cells
@en
P2093
Arántzazu Alfranca
Estefanía Núñez
Horacio Serrano
Pablo Martínez-Acedo
P2860
P304
P356
10.1074/MCP.M800260-MCP200
P577
2009-01-29T00:00:00Z