Comparative characterization of AHC associated mutations in ATP1A3 reveals diverse neurological alterations in mice.
RNA-seq (gene expression) · mouse · 48 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
- 48 samples: 12 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
- Alternating hemiplegia of childhood associated mutations in Atp1a3 reveal diverse neurological alterations in miceNeurobiology of disease · 2025
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 GSE279074_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 PRJNA1170305 and SRA study SRP537256. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 48 samples.
How we read this: 12 replicated groups read from 48 sample titles; they account for 48 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.
- GSM8560910 Brainstem_D801N_440 Brainstem_D801N
- GSM8560911 Brainstem_D801N_439 Brainstem_D801N
- GSM8560912 Brainstem_D801N_436 Brainstem_D801N
- GSM8560913 Brainstem_D801N_442 Brainstem_D801N
- GSM8560914 Brainstem_E815K_555 Brainstem_E815K
- GSM8560915 Brainstem_E815K_556 Brainstem_E815K
- GSM8560916 Brainstem_E815K_557 Brainstem_E815K
- GSM8560917 Brainstem_E815K_558 Brainstem_E815K
- GSM8560918 Brainstem_WT_430 Brainstem_WT
- GSM8560919 Brainstem_WT_550 Brainstem_WT
- GSM8560920 Brainstem_WT_434 Brainstem_WT
- GSM8560921 Brainstem_WT_561 Brainstem_WT
- GSM8560922 Cerebellum_D801N_439 Cerebellum_D801N
- GSM8560923 Cerebellum_D801N_440 Cerebellum_D801N
- GSM8560924 Cerebellum_D801N_442 Cerebellum_D801N
- GSM8560925 Cerebellum_D801N_436 Cerebellum_D801N
- GSM8560926 Cerebellum_E815K_555 Cerebellum_E815K
- GSM8560927 Cerebellum_E815K_556 Cerebellum_E815K
- GSM8560928 Cerebellum_E815K_557 Cerebellum_E815K
- GSM8560929 Cerebellum_E815K_558 Cerebellum_E815K
- GSM8560930 Cerebellum_WT_550 Cerebellum_WT
- GSM8560931 Cerebellum_WT_430 Cerebellum_WT
- GSM8560932 Cerebellum_WT_561 Cerebellum_WT
- GSM8560933 Cerebellum_WT_434 Cerebellum_WT
- GSM8560934 Cortex_D801N_439 Cortex_D801N
- GSM8560935 Cortex_D801N_440 Cortex_D801N
- GSM8560936 Cortex_D801N_436 Cortex_D801N
- GSM8560937 Cortex_D801N_442 Cortex_D801N
- GSM8560938 Cortex_E815K_555 Cortex_E815K
- GSM8560939 Cortex_E815K_556 Cortex_E815K
- GSM8560940 Cortex_E815K_558 Cortex_E815K
- GSM8560941 Cortex_E815K_557 Cortex_E815K
- GSM8560942 Cortex_WT_550 Cortex_WT
- GSM8560943 Cortex_WT_430 Cortex_WT
- GSM8560944 Cortex_WT_561 Cortex_WT
- GSM8560945 Cortex_WT_434 Cortex_WT
- GSM8560946 Hippocampus_D801N_439 Hippocampus_D801N
- GSM8560947 Hippocampus_D801N_440 Hippocampus_D801N
- GSM8560948 Hippocampus_D801N_442 Hippocampus_D801N
- GSM8560949 Hippocampus_D801N_436 Hippocampus_D801N
+ 8 more — browse all 48 samples with per-sample file links →
- GSE280524 Diverse NKT cells regulate early inflammation and neurological outcomes after cardiac arrest and resuscitation 4 samples shares neurological, diverse
- GSE281267 BAHCC1 promotes gene expression in neuronal cells by antagonizing SIN3A-HDAC1 149 samples shares ahc
- GSE272152 Optimizing murine sample sizes for RNA-seq studies revealed from large-scale comparative analysis 479 samples shares comparative
- GSE317613 pH-Responsive Nanostructured Calcium Phosphate Microrods as Pulmonary Delivery Platform: Fabrication, Characterization, and Comparative Assessment of Cytotoxic and Transcriptomic Responses in Alveolar Macrophages 15 samples shares comparative
- GSE262157 Comparative analysis of mouse strains for in vivo induction of reprogramming factors 96 samples shares comparative
- GSE252135 Lamivudine modulates the expression of neurological impairment-related genes and LINE-1 retrotransposons in brain tissues of a down syndrome mouse model 94 samples shares neurological
- GSE310453 Functional divergence of Capicua isoforms explains differential tissue vulnerability in neurological disease 70 samples shares neurological
- GSE117677 Influence of low-input RNA from FF and FFPE samples on gene expression quantification by NanoString, microarray and RNA-seq: a comparative study [RNA-seq] 66 samples shares comparative
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.