GEO series

Influence of dietary fatty acid composition on white adipose tissue gene expression in humans

GSE43642 Homo sapiens (human) Expression microarray 72 samples Submitted 2014/07/01 Platform GPL11532

At a glance

Expression microarray · human · 72 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 72 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

In a randomized controlled dietary intervention study, we compared a diet enriched in polyunsaturated fatty acids (PUFA) with a diet enriched in saturated fatty acids (SFA) for influence on abdominal subcutaneous adipose tissue gene expression. We studied young lean adults; 11 women and 25 men. There was no significant difference in age, BMI, or gene expression between the PUFA and SFA groups before the intervention.

Read the full summary ↓

The intervention lasted for seven weeks. We calculated for each gene the absolute difference in gene expression after vs. before intervention (deltas), and compared the deltas between the PUFA and SFA group using SAM. 12 genes were significantly differentially regulated by the two diets with a FDR of 25%. These include metabolic and adipokine genes. In conclusion, dietary fatty acids have a modest influence on white adipose tissue gene expression.

This dataset

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Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE43642_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA186876. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 24550191) ↗

Samples in this study

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+ 72 more — browse all 72 samples with per-sample file links →

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