← BioTransfer GEO Dataset Finder
GEO series

Transcriptome-wide noise controls differentiation potential of mammalian progenitor cells

GSE10772 Mus musculus (mouse) Expression microarray 11 samples Submitted 2008/05/22 Platform GPL6568
At a glance

Expression microarray · mouse · 11 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
11 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Phenotypic cell-to-cell variability within clonal populations may be amanifestation of "gene expression noise", or it may reflect stablephenotypic variants. Such "non-genetic cell individuality" can arisefrom the slow fluctuations of protein levels in mammalian cells. Thesefluctuations produce persistent cell individuality, thereby rendering aclonal population heterogeneous.
Read the full summary ↓
However, it remains unknown whetherthis heterogeneity may account for the stochasticity of cell fatedecisions in stem cells which depends on the kinetics that underliesheterogeneity. Here we show that in clonal populations of hematopoieticprogenitor cells, spontaneous "outlier" cells with extremely high or lowexpression levels of the stem cell marker Sca-1 reconstitute theparental distribution of Sca-1 but do so only after more than one week.This slow relaxation is described by a Gaussian-Mixture Model (GMM) thatincorporates noise-driven transitions between discrete subpopulations,suggesting hidden multi-stability within one cell type. Despiteclonality, the Sca-1 outliers had distinct transcriptomes. Although theunique gene expression profiles eventually reversed to that of themedian cells, they lasted long enough to confer a greatly differentproclivity for choosing either the erythroid or myeloid lineages. Preference in lineage choice was associated with elevated expression oflineage-specific transcription factors, such as > 200-fold increase inGATA1 among the erythroid-prone cells, or > 15-fold PU.1 expressionamong myeloid-prone cell. Thus, clonal heterogeneity of gene expressionlevel is not due to independent noise in the expression of individualgenes, but reflects metastable states of a slowly fluctuatingtranscriptome that is distinct in individual cells and may govern thereversible, stochastic priming of multipotent progenitor cells in cellfate decision. Keywords: murine EML cell line
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 (GSE10772_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA107447. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 11 more — browse all 11 samples with per-sample file links →

Datasets on a similar topic

Search all mouse microarray datasets in GEO →

Share this dataset

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.