eIF3d and eIF3e mediate selective translational control of hypoxia that can be inhibited by small molecules
RNA-seq (gene expression) · human · 120 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)
- Topic
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 120 samples: 108 distinct titles, 12 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.
- Paper
- eIF3d and eIF3e mediate selective translational control of hypoxia that can be inhibited by small moleculesCell reports · 2025
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 GSE307666_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 PRJNA1322474 and SRA study SRP618909. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 120 sample titles: 108 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.
- GSM9229008 ribo_sictrl_hypoxia_a
- GSM9229009 ribo_si3d_hypoxia_a
- GSM9229010 ribo_si3e_hypoxia_a
- GSM9229011 ribo_sictrl_normoxia_a
- GSM9229012 ribo_si3d_normoxia_a
- GSM9229013 ribo_si3e_normoxia_a
- GSM9229014 rna_sictrl_hypoxia_a
- GSM9229015 rna_si3d_hypoxia_a
- GSM9229016 rna_si3e_hypoxia_a
- GSM9229017 rna_sictrl_normoxia_a
- GSM9229018 rna_si3d_normoxia_a
- GSM9229019 rna_si3e_normoxia_a
- GSM9456533 mcf7six1_ribo_sictrl_hypoxia_b
- GSM9456534 mcf7six1_ribo_si3d_hypoxia_b
- GSM9456535 mcf7six1_ribo_si3e_hypoxia_b
- GSM9456536 mcf7six1_ribo_sictrl_normoxia_b
- GSM9456537 mcf7six1_ribo_si3d_normoxia_b
- GSM9456538 mcf7six1_ribo_si3e_normoxia_b
- GSM9456539 mcf7six1_rna_sictrl_hypoxia_b
- GSM9456540 mcf7six1_rna_si3d_hypoxia_b
- GSM9456541 mcf7six1_rna_si3e_hypoxia_b
- GSM9456542 mcf7six1_rna_sictrl_normoxia_b
- GSM9456543 mcf7six1_rna_si3d_normoxia_b
- GSM9456544 mcf7six1_rna_si3e_normoxia_b
- GSM9456545 mcf7six1_ribo_sictrl_hypoxia_c
- GSM9456546 mcf7six1_ribo_si3d_hypoxia_c
- GSM9456547 mcf7six1_ribo_si3e_hypoxia_c
- GSM9456548 mcf7six1_ribo_sictrl_normoxia_c
- GSM9456549 mcf7six1_ribo_si3d_normoxia_c
- GSM9456550 mcf7six1_ribo_si3e_normoxia_c
- GSM9456551 mcf7six1_rna_sictrl_hypoxia_c
- GSM9456552 mcf7six1_rna_si3d_hypoxia_c
- GSM9456553 mcf7six1_rna_si3e_hypoxia_c
- GSM9456554 mcf7six1_rna_sictrl_normoxia_c
- GSM9456555 mcf7six1_rna_si3d_normoxia_c
- GSM9456556 mcf7six1_rna_si3e_normoxia_c
- GSM9456557 mcf7six1_ribo_dmso_hypoxia_a_2023
- GSM9456558 mcf7six1_ribo_a209_hypoxia_a
- GSM9456559 mcf7six1_ribo_dmso_normoxia_a_2023
- GSM9456560 mcf7six1_ribo_a209_normoxia_a
+ 80 more — browse all 120 samples with per-sample file links →
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing · shares translational, mediate
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing
- GSE282509 Human eIF2A has a minimal role in translation initiation and in uORFmediated translational control 20 samples shares translational, mediate, control
- GSE313072 Selective infection and loss of PRDM1+ LN Tfh cells in uncontrolled HIV infection precludes formation of Tfh reservoirs under ART 420 samples shares selective, control
- GSE227197 Translational and Transcriptional control of gene expression during serum stimulation on human RPE-1 cells 32 samples shares translational, control
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.