Single-nucleus chromatin accessibility landscape in mouse preimplantation embryos
Single-nucleus RNA-seq · mouse · 12 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 12 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.
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 GSE282209_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1187588 and SRA study SRP546045. 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 12 sample titles: 12 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.
- GSM8639122 2-cell stage
- GSM8639123 4-cell stage
- GSM8639124 8-cell stage
- GSM8639125 Blastocyst
- GSM8639126 mESC
- GSM8639127 GV-oocyte
- GSM8639128 MI-oocyte
- GSM8639129 MII-oocyte
- GSM8639130 Morula
- GSM8639131 PN
- GSM8639132 maternal-PN
- GSM8639133 Paternal-PN
- GSE264229 Mapping the male mouse chromatin accessibility landscape by UUATAC-seq 33 samples shares accessibility, chromatin
- GSE249077 Mapping the female mouse chromatin accessibility landscape by UUATAC-seq 23 samples shares accessibility, chromatin
- GSE216371 A single-cell atlas of chromatin accessibility in mouse organogenesis 68 samples shares accessibility, chromatin
- GSE246986 Ki67-mediated chromatin accessibility impedes B-cell antigen-receptor gene rearrangement 24 samples shares accessibility, chromatin
- GSE342565 Chromatin accessibility profiling of high endothelial cells (HECs) from mouse peripheral lymph node and Peyer's patch by ATAC-seq 2 samples shares accessibility, chromatin
- GSE262791 LaminB1 DamID, RNA-seq and Genome-wide analysis of replication timing in RIF1 depleted preimplantation mouse embryos 468 samples shares preimplantation, embryos
- GSE274040 Transcriptional and chromatin accessibility landscapes of hematopoiesis in a mouse model of breast cancer 16 samples shares accessibility, chromatin
- GSE309545 Inflammatory signaling differentially changes chromatin accessibility and gene expression of the PD-associated kinase LRRK2 between human and mice [multiome mouse] 64 samples shares accessibility, chromatin
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.