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Transgenic overexpression of the miR-200b/200a/429 cluster prevents mammary tumor development in MTB-TAN mice

GSE270979 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/08/26 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
20 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.
Paper
Transgenic overexpression of the miR-200b/200a/429 cluster prevents mammary tumor initiation in Neu/Erbb2 transgenic miceInternational journal of cancer · 2025
Summary (written by the submitters)
We have previously shown that transgenic overexpression of the miR-200b/200a/429 cluster prevents mammary tumor development in MTB-IGFIR mice. In this study we evaluated whether the miR-200b/200a/429 cluster could also prevent mammary tumor development from a different oncogene, namely Neu/Erbb2. We found that transgenic overexpression of Neu/Erbb2 in MTB-TAN mice induce rapid mammary tumor development and co-overexpression of the miR-200b/200a/429 cluster with Neu/Erbb2 completely prevent mammary epithelial transformation and tumor development
Published in
Transgenic overexpression of the miR-200b/200a/429 cluster prevents mammary tumor initiation in Neu/Erbb2 transgenic mice
Watson KL, Moorehead RA · International journal of cancer 2025 · PMID 39369448 · doi:10.1002/ijc.35211
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 GSE270979_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.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1129144 and SRA study SRP516648. Searching any of these in the dataset finder brings you back here.

Samples in this study

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