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Expression data of GFP-neg and GFP-high cells isolated from mouse SCLC tumors using a GFP reporter for Hes1 expression

GSE81170 Mus musculus (mouse) Expression microarray 6 samples Submitted 2017/04/21 Platform GPL16570
At a glance

Expression microarray · mouse · 6 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
6 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Small cell lung cancer (SCLC) tumors harbor two subsets of cells that are defined by low (or undetectable) or high expression of Hes1, which is a common downstream target of the Notch signaling pathway. To better understand the role of the Notch pathway in SCLC tumor heterogeneity, we first isolated cells from these two populations using a GFP-reporter allele for Hes1 expression. We then used microarrays to identify the gene expression differences between these two groups.
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 (GSE81170_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 PRJNA320772. Searching any of these in the dataset finder brings you back here.

Samples in this study

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