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Status |
Public on Nov 19, 2013 |
Title |
Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation [time course] |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Here, we have focused on studying the link between metabolic changes driven by the differentiation into mature adipocytes of a human preadipocyte cell line (SGBS) and their regulation, through a combined experimental and computational approach. By collecting data on gene expression, PPARg, CEBPa, LXR and H3K4me3 genome-wide ChIP-seq profles and transcriptome-wide microRNA target identification for miR-27a, miR29a and miR-222, and using constraint-based modeling to estimate metabolic reaction activity, we obtained a comprehensive set of information highlighting how epigenetic, transcriptional and post-transcriptional regulation impacts the metabolic network.
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Overall design |
Illumina HT12 microarrays: Time series of differentiation (20 samples, 7 time points in duplicate or triplicate)
This is the Illumina Gene Expression part of the study.
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Citation(s) |
24198249 |
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Submission date |
Oct 04, 2012 |
Last update date |
Aug 16, 2018 |
Contact name |
Merja Heinäniemi |
Organization name |
university of eastern finland
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Street address |
Yliopistonranta 1
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City |
Kuopio |
ZIP/Postal code |
70210 |
Country |
Finland |
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Platforms (1) |
GPL6947 |
Illumina HumanHT-12 V3.0 expression beadchip |
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Samples (20)
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This SubSeries is part of SuperSeries: |
GSE41578 |
Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation |
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Relations |
BioProject |
PRJNA176619 |