Epigenetic maintenance of neural stem cell quiescence in the adult mouse hippocampus via Setd1a
RNA-seq (gene expression) · mouse · 51 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
- 51 samples: 13 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
- Epigenetic maintenance of adult neural stem cell quiescence in the mouse hippocampus via Setd1aNature communications · 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 GSE250278_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 PRJNA1053284 and SRA study SRP478216. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 50 samples.
How we read this: 13 replicated groups read from 51 sample titles; they account for 50 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.
- GSM7976609 Setd1a_CUTandRUN_rep1 Setd1a_CUTandRUN
- GSM7976610 Setd1a_CUTandRUN_rep2 Setd1a_CUTandRUN
- GSM7976611 IgG_CUTandRUN
- GSM7976612 WT_Day4_rep1 WT_Day4
- GSM7976613 WT_Day4_rep2 WT_Day4
- GSM7976614 WT_Day4_rep3 WT_Day4
- GSM7976615 WT_Day4_rep4 WT_Day4
- GSM7976616 KO_Day4_rep1 KO_Day4
- GSM7976617 KO_Day4_rep2 KO_Day4
- GSM7976618 KO_Day4_rep3 KO_Day4
- GSM7976619 KO_Day4_rep4 KO_Day4
- GSM7976620 KO_Day5_rep1 KO_Day5
- GSM7976621 KO_Day5_rep2 KO_Day5
- GSM7976622 KO_Day5_rep3 KO_Day5
- GSM7976623 KO_Day5_rep4 KO_Day5
- GSM7976624 WT_Day5_rep1 WT_Day5
- GSM7976625 WT_Day5_rep2 WT_Day5
- GSM7976626 WT_Day5_rep3 WT_Day5
- GSM7976627 WT_Day5_rep4 WT_Day5
- GSM7976628 KO_Day6_rep1 KO_Day6
- GSM7976629 KO_Day6_rep2 KO_Day6
- GSM7976630 KO_Day6_rep3 KO_Day6
- GSM7976631 KO_Day6_rep4 KO_Day6
- GSM7976632 WT_Day6_rep1 WT_Day6
- GSM7976633 WT_Day6_rep2 WT_Day6
- GSM7976634 WT_Day6_rep3 WT_Day6
- GSM7976635 WT_Day6_rep4 WT_Day6
- GSM7976636 KO_Day9_rep1 KO_Day9
- GSM7976637 KO_Day9_rep2 KO_Day9
- GSM7976638 KO_Day9_rep3 KO_Day9
- GSM7976639 KO_Day9_rep4 KO_Day9
- GSM7976640 WT_Day9_rep1 WT_Day9
- GSM7976641 WT_Day9_rep2 WT_Day9
- GSM7976642 WT_Day9_rep3 WT_Day9
- GSM7976643 WT_Day9_rep4 WT_Day9
- GSM7976644 WT_Day7_DMSO_rep1 WT_Day7_DMSO
- GSM7976645 WT_Day7_DMSO_rep2 WT_Day7_DMSO
- GSM7976646 WT_Day7_DMSO_rep3 WT_Day7_DMSO
- GSM7976647 WT_Day7_DMSO_rep4 WT_Day7_DMSO
- GSM7976648 WT_Day7_ORY_rep1 WT_Day7_ORY
+ 11 more — browse all 51 samples with per-sample file links →
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares maintenance, stem
- GSE318069 eIF4G2-mediated Translation Initiation of Histone Modifiers is Essential for Intestinal Stem Cell Maintenance and Differentiation 145 samples shares maintenance, stem
- GSE268172 Stable maintenance of MERVL-positive embryonic stem cells reveals sustained transcriptional programs and enhancer remodeling 45 samples shares maintenance, stem
- GSE274865 Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy [CUT&Tag] 36 samples shares epigenetic, stem
- GSE241378 Alternative splicing of a chromatin modifier alters the transcriptional regulatory programs of embryonic stem cell maintenance and neuronal differentiation. 36 samples shares maintenance, stem
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares epigenetic
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares hippocampus
- GSE292240 Distinct molecular mechanisms of stress habituation in the mouse hippocampus 266 samples shares hippocampus
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.