ETV1 activates a rapid conduction transcriptional program in rodent and human cardiomyocytes [RNA-Seq]
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 5 × Sham_LA vs 5 × TAC_LAGroups 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.
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE322182_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1429368 and SRA study SRP679850. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM9551489 Sham_LA_1 Sham_LA
- GSM9551490 Sham_LA_2 Sham_LA
- GSM9551491 Sham_LA_3 Sham_LA
- GSM9551492 Sham_LA_4 Sham_LA
- GSM9551493 Sham_LA_5 Sham_LA
- GSM9551494 TAC_LA_1 TAC_LA
- GSM9551495 TAC_LA_2 TAC_LA
- GSM9551496 TAC_LA_3 TAC_LA
- GSM9551497 TAC_LA_4 TAC_LA
- GSM9551498 TAC_LA_5 TAC_LA
- GSE228105 Jagged2 targeting in lung cancer activates anti-tumor immunity via Notch-induced functional reprogramming of tumor-associated macrophages [scRNA-seq] 5 samples shares activates, program, rna-seq
- GSE242485 SUMOylated Etv1 establishes tumor-initiating cells during mammary oncogenesis [RNA-seq] 18 samples shares etv1, rna-seq
- GSE247349 scRNA-seq of control and Etv1 mutant distal small intestinal organoid cultures 2 samples shares etv1, rna-seq
- GSE298786 Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions [RNA-seq] 70 samples shares activates, rna-seq
- GSE313112 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq MC38] 69 samples shares activates, rna-seq
- GSE309939 Modulating MyoD1 dosage activates alternate cell fate beyond myogenic differentiation [RNA-seq] 47 samples shares activates, rna-seq
- GSE307328 KRAS inhibition activates an actionable CD24 "Don't eat me" signal in pancreatic cancer [RNA-seq] 45 samples shares activates, rna-seq
- GSE312675 Pressure Overload-Induced Ventricular Crosstalk Activates Regenerative Mechanisms in the Contralateral Ventricle in Neonatal Mice [RNA-Seq] 22 samples shares activates, rna-seq
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.