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Defining a molecular roadmap of cellular reprogramming into iPS cells [miRNA profiling]

GSE42475 Human alphaherpesvirus 1; Human betaherpesvirus 5; human gammaherpesvirus 4; Betapolyomavirus macacae; Mus musculus; Human immunodeficiency virus 1; Human gammaherpesvirus 8; Homo sapiens; Murid betaherpesvirus 1; Merkel cell polyomavirus; Rattus norvegic Non-coding RNA profiling 18 samples Submitted 2012/12/20 Platform GPL14957
At a glance

Non-coding RNA profiling · Human alphaherpesvirus 1; Human betaherpesvirus 5; human gammaherpesvirus 4; Betapolyomavirus macacae; Mus musculus; Human immunodeficiency virus 1; Human gammaherpesvirus 8; Homo sapiens; Murid betaherpesvirus 1; Merkel cell polyomavirus; Rattus norvegic · 18 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Human alphaherpesvirus 1; Human betaherpesvirus 5; human gammaherpesvirus 4; Betapolyomavirus macacae; Mus musculus; Human immunodeficiency virus 1; Human gammaherpesvirus 8; Homo sapiens; Murid betaherpesvirus 1; Merkel cell polyomavirus; Rattus norvegic
Samples
18 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Factor induced reprogramming is a slow and inefficient process with only rare cells progressing towards induced pluripotent stem cells (iPSCs). Owing to these restraints, mechanistic studies have been limited to analyses of heterogeneous bulk populations undergoing reprogramming and partially reprogrammed cell lines. Here, by combining surface markers (Thy1, SSEA1) and an Oct4-GFP fluorescent reporter allele, we analyzed defined intermediate cell populations poised to becoming iPSCs at the transcriptional and epigenetic levels using genome-wide and single cell technologies.
Read the full summary ↓
We found that factor-induced reprogramming elicits two discernible transcriptional waves that are characterized by the initial extinction of the somatic gene expression program and the concomitant acquisition of an ESC-like proliferative and metabolic state, followed by the activation of an embryonic pluripotent state primed for differentiation. The first wave is mostly driven by gene activation through c-Myc and gene repression by Klf4, whereas the second wave is a result of gradually activated Oct4/Sox2 targets in cooperation with Klf4 targets and other downstream regulators. While microRNA expression and enrichment for individual histone modifications (H3K4me3 or H3K27me3 enriched promoters) mirrored the observed biphasic transcriptional pattern, the establishment of bivalent domains (H3K4me3/H3K27me3 enriched promoters) occurred more gradually. In contrast, changes in DNA methylation took place predominantly at the end of reprogramming when cells assumed a stable pluripotent state. Cells that became refractory to reprogramming activated the first but failed to initiate the second transcriptional wave. However, introduction of additional copies of the reprogramming transgenes into these cells rescued their ability to form iPSCs, indicating that suboptimal transcription factor levels are a limiting factor for efficient iPSC formation. This integrative analysis allowed us to identify novel genes and microRNAs that enhance reprogramming and surface markers that further subdivide intermediate cell populations. Collectively, our data offer new mechanistic insights into the nature and sequence of molecular events inherent to cellular reprogramming and provide a valuable resource of molecules that may act as roadblocks during iPSC formation.
This dataset
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.

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 (GSE42475_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA182085. Searching any of these in the dataset finder brings you back here.

Samples in this study

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