Loss of Hoxa5 function affects Hox gene expression in different biological contexts
RNA-seq (gene expression) · mouse · 57 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
- 57 samples: 14 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
- Loss of Hoxa5 function affects Hox gene expression in different biological contextsScientific reports · 2024
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 GSE269950_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 PRJNA1124161 and SRA study SRP514087. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 57 samples.
How we read this: 14 replicated groups read from 57 sample titles; they account for 57 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.
- GSM8330886 Lung_E12.5_wt_rep1 Lung_E12.5_wt
- GSM8330887 Lung_E12.5_wt_rep2 Lung_E12.5_wt
- GSM8330888 Lung_E12.5_wt_rep3 Lung_E12.5_wt
- GSM8330889 Lung_E12.5_wt_rep4 Lung_E12.5_wt
- GSM8330890 Lung_E12.5_mut_rep1 Lung_E12.5_mut
- GSM8330891 Lung_E12.5_mut_rep2 Lung_E12.5_mut
- GSM8330892 Lung_E12.5_mut_rep3 Lung_E12.5_mut
- GSM8330893 Lung_E12.5_mut_rep4 Lung_E12.5_mut
- GSM8330894 Trachea_E15.5_wt_rep1 Trachea_E15.5_wt
- GSM8330895 Trachea_E15.5_wt_rep2 Trachea_E15.5_wt
- GSM8330896 Trachea_E15.5_wt_rep3 Trachea_E15.5_wt
- GSM8330897 Trachea_E15.5_wt_rep4 Trachea_E15.5_wt
- GSM8330898 Trachea_E15.5_mut_rep1 Trachea_E15.5_mut
- GSM8330899 Trachea_E15.5_mut_rep2 Trachea_E15.5_mut
- GSM8330900 Trachea_E15.5_mut_rep3 Trachea_E15.5_mut
- GSM8330901 Trachea_E15.5_mut_rep4 Trachea_E15.5_mut
- GSM8330902 Lung_E15.5_wt_rep1 Lung_E15.5_wt
- GSM8330903 Lung_E15.5_wt_rep2 Lung_E15.5_wt
- GSM8330904 Lung_E15.5_wt_rep3 Lung_E15.5_wt
- GSM8330905 Lung_E15.5_wt_rep4 Lung_E15.5_wt
- GSM8330906 Lung_E15.5_mut_rep1 Lung_E15.5_mut
- GSM8330907 Lung_E15.5_mut_rep2 Lung_E15.5_mut
- GSM8330908 Lung_E15.5_mut_rep3 Lung_E15.5_mut
- GSM8330909 Lung_E15.5_mut_rep4 Lung_E15.5_mut
- GSM8330910 Diaphragm_E15.5_wt_rep1 Diaphragm_E15.5_wt
- GSM8330911 Diaphragm_E15.5_wt_rep2 Diaphragm_E15.5_wt
- GSM8330912 Diaphragm_E15.5_wt_rep3 Diaphragm_E15.5_wt
- GSM8330913 Diaphragm_E15.5_wt_rep4 Diaphragm_E15.5_wt
- GSM8330914 Diaphragm_E15.5_mut_rep1 Diaphragm_E15.5_mut
- GSM8330915 Diaphragm_E15.5_mut_rep2 Diaphragm_E15.5_mut
- GSM8330916 Diaphragm_E15.5_mut_rep3 Diaphragm_E15.5_mut
- GSM8330917 Diaphragm_E15.5_mut_rep4 Diaphragm_E15.5_mut
- GSM8330918 Somites_E10.5_wt_rep1 Somites_E10.5_wt
- GSM8330919 Somites_E10.5_wt_rep2 Somites_E10.5_wt
- GSM8330920 Somites_E10.5_wt_rep3 Somites_E10.5_wt
- GSM8330921 Somites_E10.5_wt_rep4 Somites_E10.5_wt
- GSM8330922 Somites_E10.5_mut_rep1 Somites_E10.5_mut
- GSM8330923 Somites_E10.5_mut_rep2 Somites_E10.5_mut
- GSM8330924 Somites_E10.5_mut_rep3 Somites_E10.5_mut
- GSM8330925 Somites_E12.5_wt_rep1 Somites_E12.5_wt
+ 17 more — browse all 57 samples with per-sample file links →
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares different
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares different
- GSE267967 Foxp3 and BATF cooperatively direct cis-regulatory programs and gene expression for functional differentiation of Treg cells [RNA-seq] 26 samples shares different
- GSE318815 Differential sex-dependent responses of circulating steroid hormones and cortical gene expression in a preclinical traumatic brain injury model 88 samples shares different
- GSE227557 Circadian-affected tissue specificity is linked to aging and longevity [Differential expression analysis of liver and kidney] 48 samples shares different
- GSE306718 Macrophage Cluster of Differentiation 163 promotes post-infarction cardiac repair and preserves left ventricular function via osteopontin 37 samples shares different
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares different
- GSE140693 Differential gene expression in male mouse macrophages from BAL 16 samples shares different
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.