Impaired cortical development and translational control in a missense mouse model of DDX3X syndrome
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 12 conditions, mostly in triplicateGroups 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 GSE296911_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 PRJNA1261923 and SRA study SRP584635. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8979767 CtrlF_LoF_input_1 CtrlF_LoF_input
- GSM8979768 CtrlF_LoF_input_2 CtrlF_LoF_input
- GSM8979769 CtrlF_LoF_input_3 CtrlF_LoF_input
- GSM8979770 cHetF_LoF_input_1 cHetF_LoF_input
- GSM8979771 cHetF_LoF_input_2 cHetF_LoF_input
- GSM8979772 cHetF_LoF_input_3 cHetF_LoF_input
- GSM8979773 CtrlF_LoF_mono_1 CtrlF_LoF_mono
- GSM8979774 CtrlF_LoF_mono_2 CtrlF_LoF_mono
- GSM8979775 CtrlF_LoF_mono_3 CtrlF_LoF_mono
- GSM8979776 cHetF_LoF_mono_1 cHetF_LoF_mono
- GSM8979777 cHetF_LoF_mono_2 cHetF_LoF_mono
- GSM8979778 cHetF_LoF_mono_3 cHetF_LoF_mono
- GSM8979779 CtrlF_LoF_poly_1 CtrlF_LoF_poly
- GSM8979780 CtrlF_LoF_poly_2 CtrlF_LoF_poly
- GSM8979781 CtrlF_LoF_poly_3 CtrlF_LoF_poly
- GSM8979782 cHetF_LoF_poly_1 cHetF_LoF_poly
- GSM8979783 cHetF_LoF_poly_2 cHetF_LoF_poly
- GSM8979784 cHetF_LoF_poly_3 cHetF_LoF_poly
- GSM8979785 CtrlF_T532M_input_1 CtrlF_T532M_input
- GSM8979786 CtrlF_T532M_input_2 CtrlF_T532M_input
- GSM8979787 CtrlF_T532M_input_3 CtrlF_T532M_input
- GSM8979788 cHetF_T532M_input_1 cHetF_T532M_input
- GSM8979789 cHetF_T532M_input_2 cHetF_T532M_input
- GSM8979790 cHetF_T532M_input_3 cHetF_T532M_input
- GSM8979791 CtrlF_T532M_mono_1 CtrlF_T532M_mono
- GSM8979792 CtrlF_T532M_mono_2 CtrlF_T532M_mono
- GSM8979793 CtrlF_T532M_mono_3 CtrlF_T532M_mono
- GSM8979794 cHetF_T532M_mono_1 cHetF_T532M_mono
- GSM8979795 cHetF_T532M_mono_2 cHetF_T532M_mono
- GSM8979796 cHetF_T532M_mono_3 cHetF_T532M_mono
- GSM8979797 CtrlF_T532M_poly_1 CtrlF_T532M_poly
- GSM8979798 CtrlF_T532M_poly_2 CtrlF_T532M_poly
- GSM8979799 CtrlF_T532M_poly_3 CtrlF_T532M_poly
- GSM8979800 cHetF_T532M_poly_1 cHetF_T532M_poly
- GSM8979801 cHetF_T532M_poly_2 cHetF_T532M_poly
- GSM8979802 cHetF_T532M_poly_3 cHetF_T532M_poly
- GSE259420 Astrocyte-microglia signaling controls developmental thalamocortical synapse refinement 12 samples shares cortical, control
- GSE305266 The cortical microenvironment drives early immune organization and controls early osteoclastogenesis in bone healing 90 samples shares cortical, control
- GSE317658 Translational control of germinal center response and plasma cell differentiation by RNA helicase Dhx29 18 samples shares translational, control
- GSE267192 PPARγ-dependent Remodeling of Translational Machinery in Adipose Progenitors is Impaired in Obesity [scRNA-seq] 12 samples shares translational, impaired
- GSE300694 Molecular and neural control of social hierarchy by forebrain-thalamocortical circuit 10 samples shares cortical, control
- GSE294393 Translational Control of Splicing Factors Directs Hematopoietic Stem Cell Fate [RNA-Seq] 8 samples shares translational, control
- GSE249877 Gene-environment interaction elicits dystonia-like features and impaired translational regulation in a DYT-TOR1A mouse model 143 samples shares translational, impaired
- GSE285581 Posttranscriptional Control of Neural Progenitors Temporal Dynamics During Neocortical Development by Syncrip 11 samples shares cortical, control
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.