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The Biological Residue of Low Early-Life Social Class

GSE15180 Homo sapiens (human) Expression microarray 60 samples Submitted 2009/03/11 Platform GPL6883
At a glance

Expression microarray · human · 60 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
60 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Research shows that children who are reared in households with low socioeconomic status are more vulnerable to heart disease, respiratory infection, and some cancers when they reach adulthood. This study conducted transcriptional profiling of PBMC in healthy adults who were low vs. high in early-life SES to explore the long-lasting genomic effects of early experience. Keywords: life stress, gene expression, inflammation, socioeconomic status
This dataset
Open GSE15180 in finder → Find more human microarray datasets →
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 (GSE15180_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 PRJNA114987. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 19617551) ↗
Samples in this study

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