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Cell density, Her2 and progesterone signaling regulate dissemination of breast cancer cells [Gene expression]

GSE68681 Mus musculus (mouse) Expression microarray 43 samples Submitted 2016/12/08 Platform GPL13188
At a glance

Expression microarray · mouse · 43 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
43 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Disseminated breast cancer cells display genotypes disparate from the predominant clone of the primary tumor before manifestation of metastasis, suggesting that cancer cell dissemination occurs preferentially early; however, the underlying molecular mechanisms are unknown. Investigating metastasis in a Her2-driven mouse model, we found that the progesterone-induced paracrine cytokines Wnt4 and Rankl induced migration and early dissemination shortly after Her2 activation.
Read the full summary ↓
Once tumorigenic growth was established, progesterone receptor (PgR) expression was lost and Wnt4/Rankl induced proliferation. The altered response from migration to proliferation was determined by cell density involving miRNA-regulated PgR expression and was reversible. Cells from early, low-density lesions displayed more functional stemness traits than cells from dense, advanced tumors, migrated more and founded significantly more metastases. The data suggest that many metastases are derived from early-disseminated cancer cells, implying that our concepts for systemic therapy need to be revised.
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 (GSE68681_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 PRJNA283390. Searching any of these in the dataset finder brings you back here.

Samples in this study

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