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Role of MIR9-2 in testicular germ cell tumours

GSE232791 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/04/15 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
Homo sapiens (human)
Topic
Testicular cancerThis series is part of our curated briefing on it.
Samples
16 samples: 5 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
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
NANOG controls testicular germ cell tumour stemness through regulation of MIR9-2Stem cell research & therapy · 2024
Summary (written by the submitters)
The testicular germ cell tumour cell lines were transfected with MIR9-2-5p mimic to study the effect on gene expression by RNA sequencing.
Published in
NANOG controls testicular germ cell tumour stemness through regulation of MIR9-2
Cardenas RP, Zyoud A, McIntyre A et al. · Stem cell research & therapy 2024 · PMID 38693576 · doi:10.1186/s13287-024-03724-1
This dataset
Open GSE232791 in finder → Find more human RNA-seq datasets → Testicular cancer landscape →
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.

Series matrix ↓
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 GSE232791_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA973975 and SRA study SRP438416. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38693576) ↗
Study design
5 conditions, mostly with about 4 replicates each
NTERA-2 mimic MIR9-2-5p # ×4 NTERA-2 mimic scrambled # ×4 TCam-2 mimic MIR9-2-5p # ×4 Tcam-2 mimic scrambled # ×2 TCam-2 mimic scrambled # ×2

Supports a between-group comparison across 16 samples.

How we read this: 5 replicated groups read from 16 sample titles; they account for 16 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
More Testicular cancer datasets

Search all human RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.