GEO series

RNA-mediated paternal heredity of diet induced type II diabetes and obesity.

GSE43555 Mus musculus (mouse) Non-coding RNA profiling 8 samples Submitted 2014/01/16 Platform GPL15907

At a glance

Non-coding RNA profiling · mouse · 8 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Mus musculus (mouse)
Samples: 8 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.

Summary (written by the submitters)

Epidemiological surveys first indicated that obesity and type II diabetes generated by lipid rich diets may be efficiently inherited, both paternally and maternally. This apparent exception to the fundamental law of non heritability of acquired characters was more recently documented in laboratory organisms but the transgenerational signal remained a matter of speculation.

Read the full summary ↓

Here we show that experimental transfer to healthy one-cell embryos of testis RNA prepared from males raised on high-fat-diet (HFD) results in the development of obesity and diabetes in the adult. Body weight, fasting glucose levels, response to insulin, glucose tolerance, RNA levels of leptin and stearoyl-CoA desaturase were all affected in mice born after RNA microinjection to the same extent as in the progenitors and in their sexual offspring. Surprisingly, neither microarray hybridization nor deep sequencing of the inducer and control RNAs showed a differential expression of known regulators of adipogenesis, but only modest variations in a series of transcripts. Transgenerational maintenance appears as one instance of the RNA-mediated heredity of epigenetic traits previously demonstrated in experimental systems ranging from the worm to the mouse. The relationship between lipid-rich diet and changes in testicular RNAs on one side and the nature of the mark imprinted on the one-cell embryo by RNA transfer and responsible for pathological developments at later stages are questions of interest for future studies.

This dataset

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Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE43555_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

Also filed as BioProject PRJNA186692 and SRA study SRP017997. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26658372) ↗

Samples in this study

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+ 8 more — browse all 8 samples with per-sample file links →

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GSE43187 Paternally induced transgenerational inheritance of susceptibility to diabetes in mammals (NimbleGen expression) 12 samples shares paternal, diabetes, induced
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.