GEO series

Integrative analysis of methylome and transcriptome in human blood identifies extensive sex and immune cell-specific differentially methylated regions [methylation]

GSE71244 Homo sapiens (human) DNA methylation 24 samples Submitted 2016/07/01 Platform GPL13534

At a glance

DNA methylation · human · 24 samples

What it is: DNA methylationChemical marks on DNA that help switch genes on or off.
Organism: Homo sapiens (human)
Samples: 24 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

DNA methylation has an impact on regulation of gene expression, however the relation between the two is complex. By performing an integrative analysis of the methylome and transcriptome of the four main circulating immune cell-subsets from healthy females, namely B cells, monocytes, CD4 and CD8 T cells, the relation between the two was characterized.

Read the full summary ↓

In addition, in light of the known sex bias in the prevalence of several immune-mediated diseases, the female datasets were compared with similar public available male datasets. Immune subset-specific differentially methylated regions (DMRs) were found to be highly similar between males and females; however numerous sex-specific DMRs shared by the four leukocytes subsets were identified, most located on autosomal chromosomes. This provides a list of highly interesting candidate genes to be studied in diseases with sexual dimorphism like autoimmunity. Immune cell-specific DMRs were mainly located in the gene body and intergenic region, distant from CpG islands but overlapping with enhancer elements, thus indicating the importance of distal regulatory elements in leukocyte subsets. In contrast; sex-specific DMRs were over-represented in CpG islands, suggesting some difference in regulation between sex and immune-cell specificity. Both positive and negative correlations between cell-specific expression and methylation were observed, with negative correlation being more frequent. Our acquired immune cell- and sex- specific methylome and transcriptome profiles provide novel insight on their complex regulatory interactions, and may particularly contribute to research of immune-mediated diseases.

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 (GSE71244_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA290672. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26291385) ↗

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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