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Transcriptome analysis of tumors from genetically engineered mouse models carrying Cbfb and/or Pik3ca mutations

GSE206598 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/10/22 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 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
Dysregulation of Mitochondrial Translation Caused by CBFB Deficiency Cooperates with Mutant PIK3CA and Is a Vulnerability in Breast CancerCancer research · 2023
Summary (written by the submitters)
Tumors harvested from mice carrying positive MMTV-Cre transgene, homozygously or heterozygously deleted or wild type Cbfb allele, and heterozygous Pik3ca transgene were subject to RNA extraction. Extracted RNA with a RIN larger than 7 was subject to RNAseq. to generate the mice, breeder pairs of Gt(ROSA)26Sortm1(Pik3ca*H1047R)Egan/J (Stock No: 016977), Cbfbtm2.1Ddg/J (Stock No: 028550), and Tg(MMTV-Cre)4Mam/J (Stock No: 003553) strains were purchased from Jackson Laboratory.
Read the full summary ↓
MMTV-Cre mice lines were genotyped using real time PCR [forward primer (FP): 5’-CCGGTTATTCAACTTGCACC-3' and reverse primer (RP) 5’-CTGCATTACCGGTCGATGCAAC- 3']. CBFB deletion was confirmed using real-time PCR with primers: FP: 5’-GCGCGCCAGTCACTTGTT-3' and RP: 5'- ATCCCACGAACCGAACCA-3'. Pik3ca mice were genotyped using primers; FP: 5'- AAAGTCGCTCTGAGTTGTTAT-3', RP1: 5'- GCGAAGAGTTTGTCCTCAACC -3' for mutant Pik3ca and RP2: 5'- GGAGCGGGAGAAATGGATATG -3' for wild type Pik3ca.
Published in
Dysregulation of Mitochondrial Translation Caused by CBFB Deficiency Cooperates with Mutant PIK3CA and Is a Vulnerability in Breast Cancer
Malik N, Kim YI, Yan H et al. · Cancer research 2023 · PMID 36799863 · doi:10.1158/0008-5472.CAN-22-2525
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 GSE206598_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 PRJNA851443 and SRA study SRP382951. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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