Gene expression profiling by RNA-Seq analysis of mice carrying an inner-ear conditional knockout of Esrrg.
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 × E_CTRL vs 5 × E_cKOGroups 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.
Read the full summary ↓
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 GSE329565_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 PRJNA1459513 and SRA study SRP696125. 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.
- GSM9706470 E_CTRL_1 E_CTRL
- GSM9706471 E_CTRL_2 E_CTRL
- GSM9706472 E_CTRL_3 E_CTRL
- GSM9706473 E_CTRL_4 E_CTRL
- GSM9706474 E_CTRL_5 E_CTRL
- GSM9706475 E_cKO_1 E_cKO
- GSM9706476 E_cKO_2 E_cKO
- GSM9706477 E_cKO_3 E_cKO
- GSM9706478 E_cKO_4 E_cKO
- GSM9706479 E_cKO_5 E_cKO
- GSE232844 Effect of conditional triple-knockout of Jmjd2a/Kdm4a, Jmjd2b/Kdm4b and Jmjd2c/Kdm4c or overexpression of KDM4C/JMJD2C mutants with different phase separation ability on gene expression in mouse embryonic stem cells. [RNA-Seq] 10 samples shares conditional, knockout, rna-seq
- GSE229815 Transcriptional profiling of 12 month striatum and cortex from a mouse model of Huntington's disease (Q140) crossed with Msh2 heterozygous or homozygous conditional knockout mice [Msh2_12mon] 138 samples shares conditional, knockout
- GSE288210 Comparative gene expression profiling of RNA-seq data from islets of β-cell-specific ZZEF1 knockout mice (βZKO-Mip) and their littermate controls, treated with either azoramide or DMSO. 11 samples shares knockout, rna-seq
- GSE229817 Transcriptional profiling of 6 month striatum and cortex from a mouse model of Huntington's disease (Q140) crossed with Msh2 conditional knockout mice [Msh2_6mon] 64 samples shares conditional, knockout
- GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares knockout, rna-seq
- GSE263080 RNA-sea of Smad4 wild-type or Smad4 knockout KPC PDAC organoids from monocultures or co-cultures with pancreatic stellate cells and RNA-seq of flow-sorted PSCs from the same co-cultures. 44 samples shares knockout, rna-seq
- GSE325832 RNA-seq analysis of skeletal muscle from control (Cre) and Terf2 knockout (KO) mice in gastrocnemius-plantaris-soleus (GPS) and tibialis anterior (TA) 35 samples shares knockout, rna-seq
- GSE279318 DYRK1A Inhibition via Harmine or via Conditional Knockout 28 samples shares conditional, knockout
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.