Using gene expression to predict the secretome of differentiating human preadipocytes. - Wikidata - wikimedia - TriplyDB

Using gene expression to predict the secretome of differentiating human preadipocytes.

Using gene expression to predict the secretome of differentiating human preadipocytes.

http://www.wikidata.org/entity/Q51815748

about

Obesidomics: contribution of adipose tissue secretome analysis to obesity research.Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants.Adipokines: a treasure trove for the discovery of biomarkers for metabolic disorders.The lysyl oxidase inhibitor β-aminopropionitrile reduces body weight gain and improves the metabolic profile in diet-induced obesity in rats.Effect of Diabetes Mellitus on Adipocyte-Derived Stem Cells in Rat Methodologies to decipher the cell secretome.Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules.Fatty acid-gene interactions, adipokines and obesity.Architecture and the extracellular matrix: the still unappreciated components of the adipose tissue.Using gene expression to predict differences in the secretome of human omental vs. subcutaneous adipose tissue.Unraveling the adipocyte inflammomodulatory pathways activated by North American ginseng.Identification of novel adipokines differential regulated in C57BL/Ks and C57BL/6.

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Using gene expression to predict the secretome of differentiating human preadipocytes.

http://www.wikidata.org/entity/Q51815748

description

2009 nî lūn-bûn

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2009年の論文

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年學術文章

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2009年學術文章

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name

Using gene expression to predict the secretome of differentiating human preadipocytes.

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Using gene expression to predict the secretome of differentiating human preadipocytes.

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type

label

Using gene expression to predict the secretome of differentiating human preadipocytes.

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Using gene expression to predict the secretome of differentiating human preadipocytes.

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prefLabel

Using gene expression to predict the secretome of differentiating human preadipocytes.

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Using gene expression to predict the secretome of differentiating human preadipocytes.

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International Journal of Obesity

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Using gene expression to predict the secretome of differentiating human preadipocytes

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C Rouault

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K Clément

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P2860

The human plasma proteome: a nonredundant list developed by combination of four separate sources

The expression of inhibin beta B is high in human adipocytes, reduced by weight loss, and correlates to factors implicated in metabolic disease

Development, migration, and survival of mast cells

Feature-based prediction of non-classical and leaderless protein secretion

Profiling of the secreted proteins during 3T3-L1 adipocyte differentiation leads to the identification of novel adipokines

Locating proteins in the cell using TargetP, SignalP and related tools

Analysis and validation of proteomic data generated by tandem mass spectrometry.

Goulphar: rapid access and expertise for standard two-color microarray normalization methods.

Characterization of the human visceral adipose tissue secretome.

Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders.

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