General statistical framework for quantitative proteomics by stable isotope labeling.
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Arabidopsis DNA polymerase ϵ recruits components of Polycomb repressor complex to mediate epigenetic gene silencing.In-depth evaluation of software tools for data-independent acquisition based label-free quantification.Systems biology of tissue-specific response to Anaplasma phagocytophilum reveals differentiated apoptosis in the tick vector Ixodes scapularis.Defective 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 InfectionWhite matter injury restoration after stem cell administration in subcortical ischemic stroke.Large scale systematic proteomic quantification from non-metastatic to metastatic colorectal cancerQuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues.Proteome-wide alterations on adipose tissue from obese patients as age-, diabetes- and gender-specific hallmarksInterplay between hepatic mitochondria-associated membranes, lipid metabolism and caveolin-1 in mice.18O 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 scapularisA multicenter study benchmarks software tools for label-free proteome quantification.Quantitative HDL Proteomics Identifies Peroxiredoxin-6 as a Biomarker of Human Abdominal Aortic Aneurysm.Differential proteomic and oxidative profiles unveil dysfunctional protein import to adipocyte mitochondria in obesity-associated aging and diabetes.Quantitative proteomics reveals Piccolo as a candidate serological correlate of recovery from Guillain-Barré syndrome.Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development.Comparative proteomic analysis of human lung telocytes with fibroblasts.Quantitation with chemical tagging reagents in biomarker studies.Immune system deregulation in hypertensive patients chronically RAS suppressed developing albuminuria.Applying proteomics to tick vaccine development: where are we?Phosphatidylcholine-coated iron oxide nanomicelles for in vivo prolonged circulation time with an antibiofouling protein corona.Vaccinomics Approach to Tick Vaccine Development.A Novel Systems-Biology Algorithm for the Analysis of Coordinated Protein Responses Using Quantitative ProteomicsUrinary exosomes reveal protein signatures in hypertensive patients with albuminuria.Caveolin-1 deficiency induces a MEK-ERK1/2-Snail-1-dependent epithelial-mesenchymal transition and fibrosis during peritoneal dialysisWhite Matter Repair After Extracellular Vesicles Administration in an Experimental Animal Model of Subcortical StrokeProteomic footprint of myocardial ischemia/reperfusion injury: Longitudinal study of the at-risk and remote regions in the pig model.ISG15 governs mitochondrial function in macrophages following vaccinia virus infection.Dissecting the proteome dynamics of the early heat stress response leading to plant survival or death in Arabidopsis.Muscle molecular adaptations to endurance exercise training are conditioned by glycogen availability: a proteomics-based analysis in the McArdle mouse model.Proteomic Analysis of Blood Extracellular Vesicles in Cardiovascular Disease by LC-MS/MS Analysis.Exosomes promote restoration after an experimental animal model of intracerebral hemorrhage.Potential role of new molecular plasma signatures on cardiovascular risk stratification in asymptomatic individuals.Urinary Proteome Analysis Identified Neprilysin and VCAM as Proteins Involved in Diabetic Nephropathy.Deducing the presence of proteins and proteoforms in quantitative proteomics.
P2860
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P2860
General statistical framework for quantitative proteomics by stable isotope labeling.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh-hant
name
General statistical framework for quantitative proteomics by stable isotope labeling.
@en
General statistical framework for quantitative proteomics by stable isotope labeling.
@nl
type
label
General statistical framework for quantitative proteomics by stable isotope labeling.
@en
General statistical framework for quantitative proteomics by stable isotope labeling.
@nl
prefLabel
General statistical framework for quantitative proteomics by stable isotope labeling.
@en
General statistical framework for quantitative proteomics by stable isotope labeling.
@nl
P2093
P50
P921
P356
P1476
General statistical framework for quantitative proteomics by stable isotope labeling
@en
P2093
Daniel Pérez-Hernández
Enrique Calvo
Estefanía Núñez
Fernando García
Keith Ashman
María Luisa Hernáez
Pablo Martínez-Acedo
Raquel Mesa
P304
P356
10.1021/PR4006958
P50
P577
2014-02-10T00:00:00Z