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Cell density, Her2 and progesterone signaling regulate dissemination of breast cancer cells [miRNA-Seq]

GSE68682 Mus musculus (mouse) Non-coding RNA profiling 15 samples Submitted 2016/12/08 Platform GPL16417
At a glance

Non-coding RNA profiling · mouse · 15 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
15 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
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 and ENA, 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, or the whole study as GSE68682_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Also filed as BioProject PRJNA283389 and SRA study SRP058132. Searching any of these in the dataset finder brings you back here.

Samples in this study

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