RNF25 confers tolerance to azacytidine-induced mRNA damage by curbing activation of the integrated stress response [RNA-seq]
RNA-seq (gene expression) · human · 45 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
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 45 samples: 15 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
- RNF25 confers mRNA damage tolerance by curbing activation of the integrated stress responseMolecular cell · 2026
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 GSE313818_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 PRJNA1381637 and SRA study SRP655311. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 44 samples.
How we read this: 15 replicated groups read from 45 sample titles; they account for 44 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.
- GSM9376031 AAVS1, untreated, biol rep1 AAVS1, untreated, biol
- GSM9376032 RNF25 KO, untreated, biol rep1 RNF25 KO, untreated, bi…
- GSM9376033 GCN2 KO, untreated, biol rep1 GCN2 KO, untreated, biol
- GSM9376034 RNF25 GCN2 DKO, untreated, biol rep1 RNF25 GCN2 DKO, untreat…
- GSM9376035 ZNF598 KO, untreated, biol rep1 ZNF598 KO, untreated, b…
- GSM9376036 eS31_K113R, untreated, biol rep1
- GSM9376037 AAVS1, 4h azaC, biol rep1 AAVS1, 4h azaC, biol
- GSM9376038 RNF25 KO, 4h azaC, biol rep1 RNF25 KO, 4h azaC, biol
- GSM9376039 GCN2 KO, 4h azaC, biol rep1 GCN2 KO, 4h azaC, biol
- GSM9376040 RNF25 GCN2 DKO, 4h azaC, biol rep1 RNF25 GCN2 DKO, 4h azaC…
- GSM9376041 ZNF598 KO, 4h azaC, biol rep1 ZNF598 KO, 4h azaC, biol
- GSM9376042 eS31 K113R, 4h azaC, biol rep1 eS31 K113R, 4h azaC, bi…
- GSM9376043 AAVS1, 4h HF, biol rep1 AAVS1, 4h HF, biol
- GSM9376044 RNF25 KO, 4h HF, biol rep1 RNF25 KO, 4h HF, biol
- GSM9376045 GCN2 KO, 4h HF, biol rep1 GCN2 KO, 4h HF, biol
- GSM9376046 AAVS1, untreated, biol rep2 AAVS1, untreated, biol
- GSM9376047 RNF25 KO, untreated, biol rep2 RNF25 KO, untreated, bi…
- GSM9376048 GCN2 KO, untreated, biol rep2 GCN2 KO, untreated, biol
- GSM9376049 RNF25 GCN2 DKO, untreated, biol rep2 RNF25 GCN2 DKO, untreat…
- GSM9376050 ZNF598 KO, untreated, biol rep2 ZNF598 KO, untreated, b…
- GSM9376051 eS32_K223R, untreated, biol rep2 eS32_K223R, untreated, …
- GSM9376052 AAVS1, 4h azaC, biol rep2 AAVS1, 4h azaC, biol
- GSM9376053 RNF25 KO, 4h azaC, biol rep2 RNF25 KO, 4h azaC, biol
- GSM9376054 GCN2 KO, 4h azaC, biol rep2 GCN2 KO, 4h azaC, biol
- GSM9376055 RNF25 GCN2 DKO, 4h azaC, biol rep2 RNF25 GCN2 DKO, 4h azaC…
- GSM9376056 ZNF598 KO, 4h azaC, biol rep2 ZNF598 KO, 4h azaC, biol
- GSM9376057 eS31 K113R, 4h azaC, biol rep2 eS31 K113R, 4h azaC, bi…
- GSM9376058 AAVS1, 4h HF, biol rep2 AAVS1, 4h HF, biol
- GSM9376059 RNF25 KO, 4h HF, biol rep2 RNF25 KO, 4h HF, biol
- GSM9376060 GCN2 KO, 4h HF, biol rep2 GCN2 KO, 4h HF, biol
- GSM9376061 AAVS1, untreated, biol rep3 AAVS1, untreated, biol
- GSM9376062 RNF25 KO, untreated, biol rep3 RNF25 KO, untreated, bi…
- GSM9376063 GCN2 KO, untreated, biol rep3 GCN2 KO, untreated, biol
- GSM9376064 RNF25 GCN2 DKO, untreated, biol rep3 RNF25 GCN2 DKO, untreat…
- GSM9376065 ZNF598 KO, untreated, biol rep3 ZNF598 KO, untreated, b…
- GSM9376066 eS32_K223R, untreated, biol rep3 eS32_K223R, untreated, …
- GSM9376067 AAVS1, 4h azaC, biol rep3 AAVS1, 4h azaC, biol
- GSM9376068 RNF25 KO, 4h azaC, biol rep3 RNF25 KO, 4h azaC, biol
- GSM9376069 GCN2 KO, 4h azaC, biol rep3 GCN2 KO, 4h azaC, biol
- GSM9376070 RNF25 GCN2 DKO, 4h azaC, biol rep3 RNF25 GCN2 DKO, 4h azaC…
+ 5 more — browse all 45 samples with per-sample file links →
- GSE281562 Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacytidine [RNA-Seq] 83 samples same disease briefing · shares rna-seq
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples same disease briefing · shares rna-seq
- GSE248808 MED16 negatively regulates erythropoiesis and myelopoiesis through modulation of chromatin accessibility [RNA-Seq human] 16 samples same disease briefing · shares rna-seq
- GSE336313 Activation of the SRC/MEK/ERK Pathway by Arsenic Disulfide Restores Megakaryopoiesis and Platelet Production in Myelodysplastic Syndrome 9 samples same disease briefing · shares activation
- GSE316081 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [RNA-seq] 6 samples same disease briefing · shares rna-seq
- GSE288862 ScRNA-Seq of Human MDS and AML Bone Marrow Marrow Microenvironment. 3 samples same disease briefing · shares rna-seq
- GSE248810 MED16 negatively regulates erythropoiesis and myelopoiesis through modulation of chromatin accessibility [scRNA-Seq] 2 samples same disease briefing · shares rna-seq
- GSE284647 The genotype-integrated gene expression profile at the single-cell level of bone marrow CD34-positive hematopoietic stem and progenitor cells (HSPCs) from a patient with myelodysplastic neoplasms (MDS) harboring germline and somatic DDX41 variants. 1 samples same disease briefing · shares integrated
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.