Gene-environment interaction elicits dystonia-like features and impaired translational regulation in a DYT-TOR1A mouse model
Non-coding RNA profiling · mouse · 143 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Mus musculus (mouse)
- Samples
- 143 samples: 24 conditions, mostly with about 6 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
- Gene-environment interaction elicits dystonia-like features and impaired translational regulation in a DYT-TOR1A mouse modelNeurobiology of disease · 2024
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 GSE249877_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.
Also filed as BioProject PRJNA1051065 and SRA study SRP477329. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 142 samples.
How we read this: 24 replicated groups read from 143 sample titles; they account for 142 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.
- GSM7966244 RNA CX_wt_naive_31 RNA CX_wt_naive
- GSM7966245 RNA CX_wt_naive_138 RNA CX_wt_naive
- GSM7966246 RNA CX_wt_naive_157 RNA CX_wt_naive
- GSM7966247 RNA CX_wt_naive_158 RNA CX_wt_naive
- GSM7966248 RNA CX_wt_naive_159 RNA CX_wt_naive
- GSM7966249 RNA CX_wt_naive_160 RNA CX_wt_naive
- GSM7966250 RNA CX_wt_crush_19 RNA CX_wt_crush
- GSM7966251 RNA CX_wt_crush_28 RNA CX_wt_crush
- GSM7966252 RNA CX_wt_crush_29 RNA CX_wt_crush
- GSM7966253 RNA CX_wt_crush_128 RNA CX_wt_crush
- GSM7966254 RNA CX_wt_crush_154 RNA CX_wt_crush
- GSM7966255 RNA CX_wt_crush_156 RNA CX_wt_crush
- GSM7966256 RNA CX_tg_naive_27 RNA CX_tg_naive
- GSM7966257 RNA CX_tg_naive_39 RNA CX_tg_naive
- GSM7966258 RNA CX_tg_naive_60 RNA CX_tg_naive
- GSM7966259 RNA CX_tg_naive_133 RNA CX_tg_naive
- GSM7966260 RNA CX_tg_naive_139 RNA CX_tg_naive
- GSM7966261 RNA CX_tg_naive_140 RNA CX_tg_naive
- GSM7966262 RNA CX_tg_crush_17 RNA CX_tg_crush
- GSM7966263 RNA CX_tg_crush_26 RNA CX_tg_crush
- GSM7966264 RNA CX_tg_crush_37 RNA CX_tg_crush
- GSM7966265 RNA CX_tg_crush_127 RNA CX_tg_crush
- GSM7966266 RNA CX_tg_crush_145 RNA CX_tg_crush
- GSM7966267 RNA CX_tg_crush_146 RNA CX_tg_crush
- GSM7966268 RNA STR_wt_naive_31 RNA STR_wt_naive
- GSM7966269 RNA STR_wt_naive_138 RNA STR_wt_naive
- GSM7966270 RNA STR_wt_naive_157 RNA STR_wt_naive
- GSM7966271 RNA STR_wt_naive_158 RNA STR_wt_naive
- GSM7966272 RNA STR_wt_naive_159 RNA STR_wt_naive
- GSM7966273 RNA STR_wt_naive_160 RNA STR_wt_naive
- GSM7966274 RNA STR_wt_crush_19 RNA STR_wt_crush
- GSM7966275 RNA STR_wt_crush_28 RNA STR_wt_crush
- GSM7966276 RNA STR_wt_crush_29 RNA STR_wt_crush
- GSM7966277 RNA STR_wt_crush_128 RNA STR_wt_crush
- GSM7966278 RNA STR_wt_crush_154 RNA STR_wt_crush
- GSM7966279 RNA STR_wt_crush_156 RNA STR_wt_crush
- GSM7966280 RNA STR_tg_naive_27 RNA STR_tg_naive
- GSM7966281 RNA STR_tg_naive_39 RNA STR_tg_naive
- GSM7966282 RNA STR_tg_naive_60 RNA STR_tg_naive
- GSM7966283 RNA STR_tg_naive_133 RNA STR_tg_naive
+ 103 more — browse all 143 samples with per-sample file links →
- GSE249875 Gene-environment interaction elicits dystonia-like features and impaired translational regulation in a DYT-TOR1A mouse model (RNA-Seq) 72 samples shares dyt-tor1a, gene-environment, dystonia-like, translational, interaction, features, impaired, elicits
- GSE296911 Impaired cortical development and translational control in a missense mouse model of DDX3X syndrome 36 samples shares translational, impaired
- GSE268058 PPARγ-dependent Remodeling of Translational Machinery in Adipose Progenitors is Impaired in Obesity 24 samples shares translational, impaired
- GSE267192 PPARγ-dependent Remodeling of Translational Machinery in Adipose Progenitors is Impaired in Obesity [scRNA-seq] 12 samples shares translational, impaired
- GSE273221 Peripheral nerve injury induces dystonia-like movements and dysregulation in the energy metabolism: A multi-omics descriptive study in Thap1+/− mice 144 samples shares dystonia-like
- GSE263902 The translational landscape of mouse oocytes and preimplantation embryos revealed by high-resolution ribosome profiling 272 samples shares translational
- GSE13379 Application of a translational profiling approach for the comparative analysis of CNS cell types. 107 samples shares translational
- GSE265957 Translational control in the spinal cord regulates gene expression and pain hypersensitivity in the chronic phase of neuropathic pain 96 samples shares translational
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.