Extraembryonic gut endoderm cells undergo programmed cell death during development
RNA-seq (gene expression) · mouse · 88 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
- 88 samples: 23 conditions, mostly with about 4 replicates eachGroups 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
- Extraembryonic gut endoderm cells undergo programmed cell death during developmentNature cell biology · 2024
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 GSE250084_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 PRJNA1051994 and SRA study SRP413942. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 80 samples.
How we read this: 23 replicated groups read from 88 sample titles; they account for 80 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.
- GSM6859078 scRNA_E95_mCherry_and_GFP_mCherry_dual
- GSM7973610 RNAseq_E135_emColon_EPCAM_GFP_WT_Rep1 RNAseq_E135_emColon_EPC…
- GSM7973611 RNAseq_E135_emColon_EPCAM_GFP_WT_Rep2 RNAseq_E135_emColon_EPC…
- GSM7973612 RNAseq_E135_emColon_EPCAM_GFP_WT_Rep3 RNAseq_E135_emColon_EPC…
- GSM7973613 RNAseq_E135_emSI_EPCAM_GFP_WT_Rep1 RNAseq_E135_emSI_EPCAM_…
- GSM7973614 RNAseq_E135_emSI_EPCAM_GFP_WT_Rep2 RNAseq_E135_emSI_EPCAM_…
- GSM7973615 RNAseq_E135_emSI_EPCAM_GFP_WT_Rep3 RNAseq_E135_emSI_EPCAM_…
- GSM7973616 RNAseq_E135_exColon_EPCAM_mCherry_Trp53KO_Rep1 RNAseq_E135_exColon_EPC…
- GSM7973617 RNAseq_E135_exColon_EPCAM_mCherry_Trp53KO_Rep2 RNAseq_E135_exColon_EPC…
- GSM7973618 RNAseq_E135_exColon_EPCAM_mCherry_Trp53KO_Rep3 RNAseq_E135_exColon_EPC…
- GSM7973619 RNAseq_E135_exSI_EPCAM_mCherry_Trp53KO_Rep1 RNAseq_E135_exSI_EPCAM_…
- GSM7973620 RNAseq_E135_exSI_EPCAM_mCherry_Trp53KO_Rep2 RNAseq_E135_exSI_EPCAM_…
- GSM7973621 RNAseq_E135_exSI_EPCAM_mCherry_Trp53KO_Rep3 RNAseq_E135_exSI_EPCAM_…
- GSM7973622 RNAseq_E65_Epi_GFP_Rep1 RNAseq_E65_Epi_GFP
- GSM7973623 RNAseq_E65_Epi_GFP_Rep2 RNAseq_E65_Epi_GFP
- GSM7973624 RNAseq_E65_Epi_GFP_Rep3 RNAseq_E65_Epi_GFP
- GSM7973625 RNAseq_E65_Epi_GFP_Rep4 RNAseq_E65_Epi_GFP
- GSM7973626 RNAseq_E65_exEndo1_mCherry_Rep1 RNAseq_E65_exEndo1_mChe…
- GSM7973627 RNAseq_E65_exEndo1_mCherry_Rep2 RNAseq_E65_exEndo1_mChe…
- GSM7973628 RNAseq_E65_exEndo1_mCherry_Rep3 RNAseq_E65_exEndo1_mChe…
- GSM7973629 RNAseq_E65_exEndo1_mCherry_Rep4 RNAseq_E65_exEndo1_mChe…
- GSM7973630 RNAseq_E65_exEndo2_mCherry_Rep1 RNAseq_E65_exEndo2_mChe…
- GSM7973631 RNAseq_E65_exEndo2_mCherry_Rep2 RNAseq_E65_exEndo2_mChe…
- GSM7973632 RNAseq_E65_exEndo2_mCherry_Rep3 RNAseq_E65_exEndo2_mChe…
- GSM7973633 RNAseq_E65_exEndo2_mCherry_Rep4 RNAseq_E65_exEndo2_mChe…
- GSM7973634 RNAseq_E95_YsEndo_mCherry_Rep1 RNAseq_E95_YsEndo_mCher…
- GSM7973635 RNAseq_E95_YsEndo_mCherry_Rep2 RNAseq_E95_YsEndo_mCher…
- GSM7973636 RNAseq_E95_YsEndo_mCherry_Rep3 RNAseq_E95_YsEndo_mCher…
- GSM7973637 RNAseq_E95_YsEndo_mCherry_Rep4 RNAseq_E95_YsEndo_mCher…
- GSM7973638 RNAseq_E95_emHindgut_EPCAM_GFP_mCherry_dual_low_Rep1 RNAseq_E95_emHindgut_EP…
- GSM7973639 RNAseq_E95_emHindgut_EPCAM_GFP_mCherry_dual_low_Rep2 RNAseq_E95_emHindgut_EP…
- GSM7973640 RNAseq_E95_emHindgut_EPCAM_GFP_mCherry_dual_low_Rep3 RNAseq_E95_emHindgut_EP…
- GSM7973641 RNAseq_E95_emHindgut_EPCAM_GFP_mCherry_dual_low_Rep4 RNAseq_E95_emHindgut_EP…
- GSM7973642 RNAseq_E95_emMidgut_EPCAM_GFP_mCherry_dual_low_Rep1 RNAseq_E95_emMidgut_EPC…
- GSM7973643 RNAseq_E95_emMidgut_EPCAM_GFP_mCherry_dual_low_Rep2 RNAseq_E95_emMidgut_EPC…
- GSM7973644 RNAseq_E95_emMidgut_EPCAM_GFP_mCherry_dual_low_Rep3 RNAseq_E95_emMidgut_EPC…
- GSM7973645 RNAseq_E95_emMidgut_EPCAM_GFP_mCherry_dual_low_Rep4 RNAseq_E95_emMidgut_EPC…
- GSM7973646 RNAseq_E95_exHindgut_EPCAM_mCherry_Rep1 RNAseq_E95_exHindgut_EP…
- GSM7973647 RNAseq_E95_exHindgut_EPCAM_mCherry_Rep2 RNAseq_E95_exHindgut_EP…
- GSM7973648 RNAseq_E95_exHindgut_EPCAM_mCherry_Rep3 RNAseq_E95_exHindgut_EP…
+ 48 more — browse all 88 samples with per-sample file links →
- GSE250083 Extraembryonic gut endoderm cells undergo programmed cell death during development (RNA-seq) 44 samples shares extraembryonic, programmed, endoderm, undergo, death
- GSE273917 Gene-specific reactivation of X-linked genes upon Xist loss is linked to the chromatin states in extraembryonic endoderm and epiblast stem cells 13 samples shares extraembryonic, endoderm
- GSE300423 LINE-1 retrotransposition in a mouse TDP-43 model of neurodegeneration marks motor cortex neurons for cell-intrinsic and cell non-autonomous programmed cell death. 45 samples shares programmed, death
- GSE285895 Simulating Neonatal Microglial Pan-Programmed Cell Death to Unlock Regenerative Potential in Adult Mice Spinal Cord Injury [RNA-seq] 21 samples shares programmed, death
- GSE301140 Dual Programmed Death Receptor-1 and Vascular Endothelial Growth Factor Receptor-2 Blockade Promotes Vascular Normalization and Enhances Antitumor Immune Responses in Hepatocellular Carcinoma 18 samples shares programmed, death
- GSE282841 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development 160 samples shares endoderm
- GSE267870 Temporal effects of BMP4 on mouse embryonic and extraembryonic development 383 samples shares extraembryonic
- GSE282840 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development [EPSC_RNA-seq] 46 samples shares endoderm
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.