Maternal SMARCA5 is required for major ZGA in mouse [RNA-seq]
Single-cell RNA-seq · mouse · 138 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 138 samples: 36 conditions, mostly in duplicateGroups 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 GSE248180_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 PRJNA1041879 and SRA study SRP472646. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 81 samples.
How we read this: 36 replicated groups read from 138 sample titles; they account for 81 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.
- GSM7906983 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_A07
- GSM7906984 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_F07
- GSM7906985 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_B07
- GSM7906986 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_H07
- GSM7906987 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_G07
- GSM7906988 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_E07
- GSM7906989 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_C07
- GSM7906990 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep1_D07
- GSM7906991 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_A08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906992 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_F08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906993 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_B08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906994 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_E08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906995 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_C08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906996 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_D08 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906997 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_A09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906998 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_F09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7906999 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_B09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7907000 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_H09
- GSM7907001 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_G09
- GSM7907002 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_E09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7907003 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_C09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7907004 RNA-seq_SMARCA5 +/- 2 cell stage embryos (matKO females)_rep1_D09 RNA-seq_SMARCA5 +/- 2 c…
- GSM7907005 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_B02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907006 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_E02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907007 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_G02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907008 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_D02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907009 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_H02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907010 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_C02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907011 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_F02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907012 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_A02 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907013 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_B01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907014 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_E01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907015 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_G01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907016 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_D01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907017 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_H01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907018 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_C01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907019 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_F01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907020 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_A01 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907021 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_G05 RNA-seq_SMARCA5 +/+ 2 c…
- GSM7907022 RNA-seq_SMARCA5 +/+ 2 cell stage embryos (matKO females)_rep2_H05 RNA-seq_SMARCA5 +/+ 2 c…
+ 98 more — browse all 138 samples with per-sample file links →
- GSE248181 Maternal SMARCA5 is required for major ZGA in mouse 251 samples shares smarca5, zga, maternal, required, major
- GSE223673 Nr5a2 is dispensable for ZGA but essential for morula development [RNA-seq] 514 samples shares zga, rna-seq
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares maternal, rna-seq
- GSE283275 THAP1 is a maternal effect factor required for the first cell cycle via Rrm1 in early mouse embryos 44 samples shares maternal, required
- GSE304112 Establishment of sex-specific liver transcriptomes and H3K9me3 profiles during sexual maturity: the impact of maternal obesity [RNA-seq] 32 samples shares maternal, rna-seq
- GSE290686 A Polyamine-mediated Posttranslational Modification Required for Macrophage Tissue Residency [RNA-Seq] 24 samples shares required, rna-seq
- GSE288281 Krüppel-like Factor family members control expression of genes required for serous cavity and alveolar macrophage identities [RNA-seq] 19 samples shares required, rna-seq
- GSE296986 EZH2 alters aggressive variant prostate cancer subtype evolution, but is not required for neuroendocrine prostate cancer. [scRNA-seq] 17 samples shares required, rna-seq
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.