EIF3D Safeguards the Homeostasis of Key Signaling Pathways in Human Primed Pluripotency
RNA-seq (gene expression) · human · 96 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
- Homo sapiens (human)
- Samples
- 96 samples: 32 conditions, mostly in triplicateGroups 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
- EIF3D safeguards the homeostasis of key signaling pathways in human primed pluripotencyScience advances · 2025
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 GSE248820_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 PRJNA1046058 and SRA study SRP474607. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 96 samples.
How we read this: 32 replicated groups read from 96 sample titles; they account for 96 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.
- GSM7918877 Primed_iPS_1 Primed_iPS
- GSM7918878 Primed_iPS_2 Primed_iPS
- GSM7918879 Primed_iPS_3 Primed_iPS
- GSM7918880 Differentiation_EN_1 Differentiation_EN
- GSM7918881 Differentiation_EN_2 Differentiation_EN
- GSM7918882 Differentiation_EN_3 Differentiation_EN
- GSM7918883 Differentiation_ME_1 Differentiation_ME
- GSM7918884 Differentiation_ME_2 Differentiation_ME
- GSM7918885 Differentiation_ME_3 Differentiation_ME
- GSM7918886 Differentiation_NE_1 Differentiation_NE
- GSM7918887 Differentiation_NE_2 Differentiation_NE
- GSM7918888 Differentiation_NE_3 Differentiation_NE
- GSM7918889 Primed_KD_D5_sgPOU5F1_1 Primed_KD_D5_sgPOU5F1
- GSM7918890 Primed_KD_D5_sgPOU5F1_2 Primed_KD_D5_sgPOU5F1
- GSM7918891 Primed_KD_D5_sgPOU5F1_3 Primed_KD_D5_sgPOU5F1
- GSM7918892 Primed_KD_D5_sgSOX2_1 Primed_KD_D5_sgSOX2
- GSM7918893 Primed_KD_D5_sgSOX2_2 Primed_KD_D5_sgSOX2
- GSM7918894 Primed_KD_D5_sgSOX2_3 Primed_KD_D5_sgSOX2
- GSM7918895 Primed_KD_D5_sgNANOG_1 Primed_KD_D5_sgNANOG
- GSM7918896 Primed_KD_D5_sgNANOG_2 Primed_KD_D5_sgNANOG
- GSM7918897 Primed_KD_D5_sgNANOG_3 Primed_KD_D5_sgNANOG
- GSM7918898 Primed_KD_D0_sgControl_1 Primed_KD_D0_sgControl
- GSM7918899 Primed_KD_D0_sgControl_2 Primed_KD_D0_sgControl
- GSM7918900 Primed_KD_D0_sgControl_3 Primed_KD_D0_sgControl
- GSM7918901 Primed_KD_D0_sgEIF3D_1 Primed_KD_D0_sgEIF3D
- GSM7918902 Primed_KD_D0_sgEIF3D_2 Primed_KD_D0_sgEIF3D
- GSM7918903 Primed_KD_D0_sgEIF3D_3 Primed_KD_D0_sgEIF3D
- GSM7918904 Primed_KD_D3_sgControl_1 Primed_KD_D3_sgControl
- GSM7918905 Primed_KD_D3_sgControl_2 Primed_KD_D3_sgControl
- GSM7918906 Primed_KD_D3_sgControl_3 Primed_KD_D3_sgControl
- GSM7918907 Primed_KD_D3_sgEIF3D_1 Primed_KD_D3_sgEIF3D
- GSM7918908 Primed_KD_D3_sgEIF3D_2 Primed_KD_D3_sgEIF3D
- GSM7918909 Primed_KD_D3_sgEIF3D_3 Primed_KD_D3_sgEIF3D
- GSM7918910 Primed_KD_D5_sgControl_1 Primed_KD_D5_sgControl
- GSM7918911 Primed_KD_D5_sgControl_2 Primed_KD_D5_sgControl
- GSM7918912 Primed_KD_D5_sgControl_3 Primed_KD_D5_sgControl
- GSM7918913 Primed_KD_D5_sgEIF3D_1 Primed_KD_D5_sgEIF3D
- GSM7918914 Primed_KD_D5_sgEIF3D_2 Primed_KD_D5_sgEIF3D
- GSM7918915 Primed_KD_D5_sgEIF3D_3 Primed_KD_D5_sgEIF3D
- GSM7918916 Naïve_set2_D5_sgControl_1 Naïve_set2_D5_sgControl
+ 56 more — browse all 96 samples with per-sample file links →
- GSE270787 ZIC2 and ZIC3 promote SWI/SNF recruitment to safeguard progression towards human primed pluripotency 205 samples shares pluripotency, primed
- GSE270784 ZIC2 and ZIC3 promote SWI/SNF recruitment to safeguard progression towards human primed pluripotency [ChIP-seq] 107 samples shares pluripotency, primed
- GSE287613 p53 safeguards chemical reprogramming of human somatic cells towards pluripotency. 63 samples shares pluripotency, safeguards
- GSE270948 ZIC2 and ZIC3 promote SWI/SNF recruitment to safeguard progression towards human primed pluripotency [ATAC-Seq] 46 samples shares pluripotency, primed
- GSE309187 Poising and connectivity of emergent human developmental enhancers in the transition from naive to primed pluripotency 26 samples shares pluripotency, primed
- GSE309123 Poising and connectivity of emergent human developmental enhancers in the transition from naive to primed pluripotency - RNA-seq 9 samples shares pluripotency, primed
- GSE307666 eIF3d and eIF3e mediate selective translational control of hypoxia that can be inhibited by small molecules 120 samples shares eif3d
- GSE273149 Longitudinal transcriptomic analysis reveals persistent enrichment of iron homeostasis and erythrocyte function pathways in severe COVID-19 ARDS 49 samples shares homeostasis
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.