DGCR8 haploinsufficiency leads to primate-specific RNA dysregulation and pluripotency defects
Non-coding RNA profiling · human · 18 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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
- DGCR8 haploinsufficiency leads to primate-specific RNA dysregulation and pluripotency defectsNucleic acids research · 2025
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 GSE209843_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 PRJNA862688 and SRA study SRP388166. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. 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.
- GSM6395053 H9 wildtype replicate 1 (RNA-seq)
- GSM6395054 H9 wildtype replicate 2 (RNA-seq)
- GSM6395055 H9 wildtype replicate 3 (RNA-seq)
- GSM6395056 H9 DGCR8 heterozygote HET1 clone replicate 1 (RNA-seq)
- GSM6395057 H9 DGCR8 heterozygote HET1 clone replicate 2 (RNA-seq)
- GSM6395058 H9 DGCR8 heterozygote HET1 clone replicate 3 (RNA-seq)
- GSM6395059 H9 DGCR8 heterozygote HET2 clone replicate 1 (RNA-seq)
- GSM6395060 H9 DGCR8 heterozygote HET2 clone replicate 2 (RNA-seq)
- GSM6395061 H9 DGCR8 heterozygote HET2 clone replicate 3 (RNA-seq)
- GSM6395062 H9 WT replicate 1 (miRNA-seq)
- GSM6395063 H9 WT replicate 2 (miRNA-seq)
- GSM6395064 H9 WT replicate 3 (miRNA-seq)
- GSM6395065 H9 DGCR8 heterozygote HET1 clone replicate 1 (miRNA-seq)
- GSM6395066 H9 DGCR8 heterozygote HET1 clone replicate 2 (miRNA-seq)
- GSM6395067 H9 DGCR8 heterozygote HET1 clone replicate 3 (miRNA-seq)
- GSM6395068 H9 DGCR8 heterozygote HET2 clone replicate 1 (miRNA-seq)
- GSM6395069 H9 DGCR8 heterozygote HET2 clone replicate 2 (miRNA-seq)
- GSM6395070 H9 DGCR8 heterozygote HET2 clone replicate 3 (miRNA-seq)
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- GSE275067 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age. 252 samples shares dysregulation
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- GSE188558 Shared patterns of glial transcriptional dysregulation link Huntington's disease and schizophrenia 137 samples shares dysregulation
- GSE270454 Epigenetic dysregulation of transposable elements in cognitive impairment and Alzheimer’s disease 135 samples shares dysregulation
- GSE297914 PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression [ChIP-seq] 112 samples shares dysregulation
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.