Modelling mouse embryogenesis from chemically induced totipotent stem cells
RNA-seq (gene expression) · mouse · 22 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
- 22 samples: 15 distinct titles, 3 of them repeatedGroups 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 GSE292862_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 PRJNA1241770 and SRA study SRP573569. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 22 sample titles: 15 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.
- GSM8867616 ciToti7
- GSM8867617 ciToti8_1
- GSM8867618 ciToti8_2
- GSM8867619 ciToti8_3
- GSM8867620 ciToti10_1
- GSM8867621 ciToti10_2
- GSM8867622 ciToti12_H
- GSM8867623 E3.5_In utero
- GSM8867624 E6.5_In utero
- GSM8867625 E7.5_In utero
- GSM8867626 E8.5_In utero
- GSM8867627 E10.5_H_In utero
- GSM8867628 E4.5_Ex utero
- GSM8867629 E6.5_Ex utero
- GSM8867630 E7.5_Ex utero
- GSM9859922 mESC
- GSM9859923 ciTotiSCs_TAW
- GSM9859924 ciTotiSCs_TAWa
- GSM9859925 ciToti1
- GSM9859926 ciToti2
- GSM9859927 ciToti3
- GSM9859928 ciToti4
- GSE251982 Remodeling the step-wise mouse placental development by using totipotent blastomere-like stem cells [RNA-seq] 20 samples shares totipotent, stem
- GSE68715 Global transcriptional analysis of mouse fibroblasts, chemically-induced neurons (neuron-like cells) from mouse fibroblasts and mouse primary cortical neurons by RNA-seq 15 samples shares chemically, induced
- GSE243921 Modeling pre-implantation development using totipotent blastomere-like stem cells [bulk RNA-seq] 104 samples shares totipotent, stem
- GSE287908 Totipotent-Like Cell-Based Embryo Model Recapitulating Mouse Embryogenesis from Pre-Implantation to Gastrulation [RNA-Seq] 52 samples shares embryogenesis, totipotent
- GSE252206 Generation of transient totipotent blastomere-like stem cells by short-term high-dose Pladienolide B treatment 19 samples shares totipotent, stem
- GSE232718 Employing totipotent cells to reconstruct embryogenesis 13 samples shares embryogenesis, totipotent
- GSE232634 Employing totipotent cells to reconstruct embryogenesis [RNA-seq] 9 samples shares embryogenesis, totipotent
- GSE287909 Totipotent-Like Cell-Based Embryo Model Recapitulating Mouse Embryogenesis from Pre-Implantation to Gastrulation [scRNA-Seq] 8 samples shares embryogenesis, totipotent
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.