Capturing totipotency in human cells through spliceosomal repression [scRNA-seq]
Single-cell RNA-seq · human · 14 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 14 samples: 14 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
- Capturing totipotency in human cells through spliceosomal repressionCell · 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 GSE226228_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 PRJNA939207 and SRA study SRP424805. 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 14 sample titles: 14 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.
- GSM7068462 SC-E8-r6h
- GSM7068463 SC-E8-r12h
- GSM7068464 SC-E8-r36h
- GSM7068465 SC-E8-r56h
- GSM7068466 SC-E8-r104h
- GSM7068467 SC-teratoma-Primed
- GSM7068468 SC-teratoma-hTBLC
- GSM7068469 SC-blastoid
- GSM7068470 SC-Naïve-0h
- GSM7068471 SC-Naïve-33h
- GSM7068472 SC-Naïve-41h
- GSM7068473 SC-Naïve-77h
- GSM7719091 SC-hTBLC
- GSM7719092 SC-sriZLC-60h
- GSE224794 Capturing totipotency in human cells through spliceosomal repression [RNA-Seq] 92 samples shares spliceosomal, totipotency, repression, capturing
- GSE226231 Capturing totipotency in human cells through spliceosomal repression 112 samples shares spliceosomal, totipotency, repression, capturing
- GSE226229 Capturing totipotency in human cells through spliceosomal repression [ATAC-seq] 2 samples shares spliceosomal, totipotency, repression, capturing
- GSE300313 Hypoxia increases susceptibility of human intestinal epithelial cells to rotavirus infection through repression of interferon induction 32 samples shares repression
- GSE292032 Receptor transport protein 4 (RTP4)-mediated repression of hepatitis C virus replication in mouse cells 96 samples shares repression
- GSE241914 Therapy-induced Secretion of Spliceosomal Components Mediates Pro-Survival Crosstalk Between Ovarian Cancer Cells 60 samples shares spliceosomal
- GSE247500 Novel function of U7 snRNA in the repression of HERV1/LTR12s and lincRNAs in human cells 6 samples shares repression
- GSE330966 Repression of DNA Damage Response Sensitizes APL Cells to the Combined Genotoxicity of All-Trans Retinoic Acid and Arsenic Trioxide 24 samples shares repression
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.