GEO series

Direct Signaling Between Platelets and Cancer Cells Induces an Epithelial-Mesenchymal-Like Transition and Promotes Metastasis

GSE27456 Mus musculus (mouse) Expression microarray 25 samples Submitted 2011/12/13 Platform GPL6096Platform GPL6246

At a glance

Expression microarray · mouse · 25 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Mus musculus (mouse)
Samples: 25 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Interactions of cancer cells with the primary tumor microenvironment are important determinants of cancer progression towards metastasis but it is unknown whether additional prometastatic signals are provided during the intravascular transit to the site of metastasis. Here, we show that transient platelet-tumor cell interactions are sufficient to prime tumor cells for subsequent metastasis.

Read the full summary ↓

Platelet-derived TGF-beta and direct platelet-tumor cell contacts synergistically activate the TGF-beta/Smad and NF-kappaB pathways in cancer cells, resulting in their transition to an invasive mesenchymal-like phenotype and enhanced metastasis in vivo. Inhibition of NF-kappaB signaling in cancer cells or ablation of TGF-beta1 expression solely in platelets protects against lung metastasis in vivo. Thus, cancer cells rely on platelet-derived signals outside of the primary tumor for efficient metastasis.

This dataset

Open GSE27456 in finder → Find more mouse microarray datasets →

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 (GSE27456_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: 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 PRJNA138467. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 22094253) ↗

Samples in this study

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+ 25 more — browse all 25 samples with per-sample file links →

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