Gene expression profile of antisense oligonucleotide-treated Neural Progenitors from controls and Schinzel-Giedion Syndrome cases
RNA-seq (gene expression) · human · 60 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
- Homo sapiens (human)
- Samples
- 60 samples: 10 conditions, mostly with about 9 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
- Prevention of hydrocephalus with a small oligonucleotideMolecular therapy : the journal of the American Society of Gene Therapy · 2026
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 GSE315664_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 PRJNA1398645 and SRA study SRP659941. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 15 samples read as cases, 45 as controls.
How we read this: 10 replicated groups read from 60 sample titles; they account for 60 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.
- GSM9434170 only_reagent_control_1 only_reagent_control
- GSM9434171 Inotersen_30nM_control_1 Inotersen_30nM_control
- GSM9434172 IGUANa-001_ASO_30nM_control_1 IGUANa-001_ASO_30nM_con…
- GSM9434173 IGUANa-001_ASO_50nM_control_1 IGUANa-001_ASO_50nM_con…
- GSM9434174 No_transfected_control_1 No_transfected_control
- GSM9434175 only_reagent_control_2 only_reagent_control
- GSM9434176 Inotersen_30nM_control_2 Inotersen_30nM_control
- GSM9434177 IGUANa-001_ASO_30nM_control_2 IGUANa-001_ASO_30nM_con…
- GSM9434178 IGUANa-001_ASO_50nM_control_2 IGUANa-001_ASO_50nM_con…
- GSM9434179 No_transfected_control_2 No_transfected_control
- GSM9434180 only_reagent_control_3 only_reagent_control
- GSM9434181 Inotersen_30nM_control_3 Inotersen_30nM_control
- GSM9434182 IGUANa-001_ASO_30nM_control_3 IGUANa-001_ASO_30nM_con…
- GSM9434183 IGUANa-001_ASO_50nM_control_3 IGUANa-001_ASO_50nM_con…
- GSM9434184 No_transfected_control_3 No_transfected_control
- GSM9434185 only_reagent_control_4 only_reagent_control
- GSM9434186 Inotersen_30nM_control_4 Inotersen_30nM_control
- GSM9434187 IGUANa-001_ASO_30nM_control_4 IGUANa-001_ASO_30nM_con…
- GSM9434188 IGUANa-001_ASO_50nM_control_4 IGUANa-001_ASO_50nM_con…
- GSM9434189 No_transfected_control_4 No_transfected_control
- GSM9434190 only_reagent_control_5 only_reagent_control
- GSM9434191 Inotersen_30nM_control_5 Inotersen_30nM_control
- GSM9434192 IGUANa-001_ASO_30nM_control_5 IGUANa-001_ASO_30nM_con…
- GSM9434193 IGUANa-001_ASO_50nM_control_5 IGUANa-001_ASO_50nM_con…
- GSM9434194 No_transfected_control_5 No_transfected_control
- GSM9434195 only_reagent_control_6 only_reagent_control
- GSM9434196 Inotersen_30nM_control_6 Inotersen_30nM_control
- GSM9434197 IGUANa-001_ASO_30nM_control_6 IGUANa-001_ASO_30nM_con…
- GSM9434198 IGUANa-001_ASO_50nM_control_6 IGUANa-001_ASO_50nM_con…
- GSM9434199 No_transfected_control_6 No_transfected_control
- GSM9434200 only_reagent_control_7 only_reagent_control
- GSM9434201 Inotersen_30nM_control_7 Inotersen_30nM_control
- GSM9434202 IGUANa-001_ASO_30nM_control_7 IGUANa-001_ASO_30nM_con…
- GSM9434203 IGUANa-001_ASO_50nM_control_7 IGUANa-001_ASO_50nM_con…
- GSM9434204 No_transfected_control_7 No_transfected_control
- GSM9434205 only_reagent_patient_1 only_reagent_patient
- GSM9434206 Inotersen_30nM_patient_1 Inotersen_30nM_patient
- GSM9434207 IGUANa-001_ASO_30nM_patient_1 IGUANa-001_ASO_30nM_pat…
- GSM9434208 IGUANa-001_ASO_50nM_patient_1 IGUANa-001_ASO_50nM_pat…
- GSM9434209 No_transfected_patient_1 No_transfected_patient
+ 20 more — browse all 60 samples with per-sample file links →
- GSE305132 Single-Cell Multiomic Atlas of Human Cortical Development in Down Syndrome - Neural Progenitors in vitro - Treatment with Antisense Oligonucleotides for PKNOX1, BACH1 and GABPA (Bulk RNA-seq Dataset) 68 samples shares progenitors, antisense, neural
- GSE296672 Canonical Hedgehog Signaling Controls Astral Microtubules and Mitotic Spindle Orientation in Neural Progenitors and iPSCs 12 samples shares progenitors, controls, neural
- GSE311389 Modeling Mowat-Wilson Syndrome with patient iPSCs reveals transcriptional and phenotypic defects in neural progenitors 24 samples shares progenitors, neural
- GSE137614 Transcriptomic profiling of Neural Progenitors Cell and Neural Crest Cell Differentiation of Wild-Type and TSC2-Knockout Cultures from the Pluripotent State 96 samples shares progenitors, neural
- GSE337839 CRISPR activation of DLX5 drives neural progenitors to the GnRH cell fate 29 samples shares progenitors, neural
- GSE331395 Replicative senescence in neural progenitors induces senescence-associated markers in midbrain organoids 24 samples shares progenitors, neural
- GSE270946 Effect of IVNS1ABP mutation, knockout on gene expression during iPSCs differentiation to Neural Progenitors 18 samples shares progenitors, neural
- GSE302350 KMT2D-deficiency destabilizes lineage progression in immature neural progenitors 16 samples shares progenitors, neural
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.