Short term perturbation of mouse embryonic stem cells with morphogens and small molecule compounds
RNA-seq (gene expression) · mouse · 208 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
- 208 samples: 208 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
- The Wnt-dependent master regulator NKX1-2 controls mouse pre-implantation developmentStem cell reports · 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 GSE202079_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 PRJNA834155 and SRA study SRP373248. 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 208 sample titles: 208 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.
- GSM6093955 JM8.N4_Activin-A_BAPTA-AM [ME215]
- GSM6093956 JM8.N4_Activin-A_CHIR99021 [ME214]
- GSM6093957 JM8.N4_Activin-A_Genistein [ME208]
- GSM6093958 JM8.N4_Activin-A_KAAD-Cyclopamine [ME199]
- GSM6093959 JM8.N4_Activin-A_LDN-193189 [ME202]
- GSM6093960 JM8.N4_Activin-A_SB202190 [ME204]
- GSM6093961 JM8.N4_Activin-A_Olomoucine [ME200]
- GSM6093962 JM8.N4_Activin-A_PD173074 [ME207]
- GSM6093963 JM8.N4_Activin-A_Purmorphamine [ME216]
- GSM6093964 JM8.N4_Activin-A_Src-Inhibitor-II [ME201]
- GSM6093965 JM8.N4_Activin-A_SU5402 [ME206]
- GSM6093966 JM8.N4_Activin-A_Telomerase-Inhibitor-3 [ME203]
- GSM6093967 JM8.N4_Activin-A_Valproic-Acid [ME196]
- GSM6093968 JM8.N4_Activin-A_Wortmannin [ME211]
- GSM6093969 JM8.N4_bFGF_BAPTA-AM [ME191]
- GSM6093970 JM8.N4_bFGF_BIO [ME171]
- GSM6093971 JM8.N4_bFGF_Bix01294 [ME185]
- GSM6093972 JM8.N4_bFGF_CHIR99021 [ME190]
- GSM6093973 JM8.N4_bFGF_DAPT,-gamma-secretase-inhibitor-IX [ME181]
- GSM6093974 JM8.N4_bFGF_Genistein [ME184]
- GSM6093975 JM8.N4_bFGF_LDN-193189 [ME178]
- GSM6093976 JM8.N4_bFGF_SB202190 [ME180]
- GSM6093977 JM8.N4_bFGF_Olomoucine [ME176]
- GSM6093978 JM8.N4_bFGF_PD173074 [ME183]
- GSM6093979 JM8.N4_bFGF_PF573228 [ME189]
- GSM6093980 JM8.N4_bFGF_Purmorphamine [ME192]
- GSM6093981 JM8.N4_bFGF_Src-Inhibitor-II [ME177]
- GSM6093982 JM8.N4_bFGF_SU5402 [ME182]
- GSM6093983 JM8.N4_bFGF_Telomerase-Inhibitor-3 [ME179]
- GSM6093984 JM8.N4_bFGF_Valproic-Acid [ME172]
- GSM6093985 JM8.N4_bFGF_Wnt-agonist [ME188]
- GSM6093986 JM8.N4_bFGF_Wortmannin [ME187]
- GSM6093987 JM8.N4_BMP4_10058-F4 [ME149]
- GSM6093988 JM8.N4_BMP4_BAPTA-AM [ME167]
- GSM6093989 JM8.N4_BMP4_BAY-11-7082 [ME145]
- GSM6093990 JM8.N4_BMP4_BIO [ME147]
- GSM6093991 JM8.N4_BMP4_Bix01294 [ME161]
- GSM6093992 JM8.N4_BMP4_CHIR99021 [ME166]
- GSM6093993 JM8.N4_BMP4_DAPT,-gamma-secretase-inhibitor-IX [ME157]
- GSM6093994 JM8.N4_BMP4_Docetaxel [ME162]
+ 168 more — browse all 208 samples with per-sample file links →
- GSE213104 Gene expression profile at single cell level of Merkel cells from embryonic, neonatal and postnatal mouse skin 1057 samples shares embryonic
- GSE267870 Temporal effects of BMP4 on mouse embryonic and extraembryonic development 383 samples shares embryonic
- GSE285231 Systems genetics reveals the influence of eQTLs in mouse embryonic stem cells on transcriptional variation later in differentiated neural progenitor cells 186 samples shares embryonic
- GSE292884 RNA Sequencing of Liver Samples from UM-HET3 Mice Exposed to Various Compounds from the ITP Study 182 samples shares compounds
- GSE252199 Quantification of subcellular mRNA kinetics in mouse embryonic stem cells 100 samples shares embryonic
- GSE291610 Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathways [snRNA-Seq] 96 samples shares perturbation
- GSE333820 Transcriptome profiling of ovaries in aged mice administered additional Samul-tang-associated compounds 96 samples shares compounds
- GSE250084 Extraembryonic gut endoderm cells undergo programmed cell death during development 88 samples shares embryonic
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.