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Elevated expression of wildtype RhoC promotes ErbB2- and Pik3ca-induced mammary tumor formation

GSE249601 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2024/04/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 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
Elevated expression of wildtype RhoC promotes ErbB2- and Pik3ca-induced mammary tumor formationBreast cancer research : BCR · 2024
Summary (written by the submitters)
Copy number gains in genes coding for Rho activating exchange factors as well as losses affecting genes coding for RhoGAP proteins are common in breast cancer, suggesting that elevated Rho signaling may play an important role. Extra copies and overexpression of RhoC also occur, although a role for RhoC overexpression in driving tumor formation has not been assessed in vivo.
Read the full summary ↓
To this end, we report on the development of a Rosa26 (R26)-targeted Cre-conditional RhoC overexpression mouse (R26-RhoC). This mouse was crossed to two models for ERBB2/NEU+ breast cancer: one based on expression of an oncogenic ErbB2/Neu cDNA downstream of the endogenous ErbB2 promoter (FloxNeoNeuNT), the other, a metastatic model that is based on high-level expression from MMTV regulatory elements (NIC). RhoC overexpression dramatically enhanced mammary tumor formation in FloxNeoNeuNT mice but showed a more subtle effect in the NIC line, which forms multiple mammary tumors after a very short latency. Many mammary tumors that form in FloxNeoNeuNT mice show selection for increased NeuNT expression linked to high-level amplification of the ErbB2/NeuNT locus. In contrast, NeuNT overexpression did not require high-level amplification of ErbB2/NeuNT in RhoC-FloxNeoNeuNT lesions. RhoC overexpression also enhanced mammary tumor formation in a model for breast cancer induced by Pik3ca(H1047R). The transforming effect of RhoC was associated with epithelial/mesenchymal transition (EMT) in ErbB2/NeuNT and Pik3ca-H1047R systems. Thus, RhoC copy number gains with resultant overexpression contribute to breast tumor formation and/or progression.
Published in
Elevated expression of wildtype RhoC promotes ErbB2- and Pik3ca-induced mammary tumor formation
Raghuram N, Temel EI, Kawamata T et al. · Breast cancer research : BCR 2024 · PMID 38807216 · doi:10.1186/s13058-024-01842-5
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 GSE249601_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 PRJNA1049800 and SRA study SRP476444. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 21 more — browse all 21 samples with per-sample file links →

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