Assessing factors for reliable quantitative proteomics based on two-dimensional gel electrophoresis.
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Proteomics of plant pathogenic fungiA proteomic analysis of the acute effects of high-intensity exercise on skeletal muscle proteins in fasted ratsABRF-PRG07: advanced quantitative proteomics study.Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells.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 cellsDouble standards in quantitative proteomics: direct comparative assessment of difference in gel electrophoresis and metabolic stable isotope labeling.Design and facile production of recombinant resilin-like polypeptides: gene construction and a rapid protein purification method.PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratiosLinking post-translational modifications and variation of phenotypic traitsSimplified modelling of metabolic pathways for flux prediction and optimization: lessons from an in vitro reconstruction of the upper part of glycolysis.Systemic properties of metabolic networks lead to an epistasis-based model for heterosis.Addressing accuracy and precision issues in iTRAQ quantitation.Development of a new method for absolute protein quantification on 2-D gels.Interactions between genotype and environment drive the metabolic phenotype within Escherichia coli isolates.Quantitative gel electrophoresis: new records in precision by elaborated staining and detection protocols.2D-ToGo workflow: increasing feasibility and reproducibility of 2-dimensional gel electrophoresis.Heterosis Is a Systemic Property Emerging From Non-linear Genotype-Phenotype Relationships: Evidence From in Vitro Genetics and Computer Simulations.Experimental and Statistical Considerations to Avoid False Conclusions in Proteomics Studies Using Differential In-gel Electrophoresis
P2860
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P2860
Assessing factors for reliable quantitative proteomics based on two-dimensional gel electrophoresis.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
Assessing factors for reliable ...... mensional gel electrophoresis.
@en
Assessing factors for reliable ...... mensional gel electrophoresis.
@nl
type
label
Assessing factors for reliable ...... mensional gel electrophoresis.
@en
Assessing factors for reliable ...... mensional gel electrophoresis.
@nl
prefLabel
Assessing factors for reliable ...... mensional gel electrophoresis.
@en
Assessing factors for reliable ...... mensional gel electrophoresis.
@nl
P2093
P356
P1433
P1476
Assessing factors for reliable ...... imensional gel electrophoresis
@en
P2093
Christine Dillmann
Dominique de Vienne
Gilles Lagniel
Jean Labarre
Julie Fiévet
Luc Negroni
P304
P356
10.1002/PMIC.200300731
P577
2004-07-01T00:00:00Z