Splicing of erythroid transcription factor is associated with therapeutic response in myelodysplastic syndromes
RNA-seq (gene expression) · human · 27 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
- 27 samples: 8 × Medalist trial patient Responderj1376_samp vs 6 × Medalist trial patient Responderj1383_samp vs 5 × Medalist trial patient Non-responderj1375_sampGroups 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
- Splicing of erythroid transcription factor is associated with therapeutic response in myelodysplastic syndromesThe Journal of clinical investigation · 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 GSE292039_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 PRJNA1236366 and SRA study SRP570538. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 3 replicated groups read from 27 sample titles; they account for 19 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.
- GSM8846857 CD34+ d6 erythroid progenitors treated with vehiclej972_rna_d6C.ATCACG.J972.AHJ5M5BGX7.L1-4.1
- GSM8846858 CD34+ d6 erythroid progenitors treated with GDF11j972_rna_d6G.TAGCTT.J972.AHJ5M5BGX7.L1-4.1
- GSM8846859 CD34+ d6 erythroid progenitors treated with vehiclej1469_rna_7_S7
- GSM8846860 CD34+ d6 erythroid progenitors treated with GDF11j1469_rna_8_S8
- GSM8846861 Medalist trial patient Non-responderj1375_samp10 Medalist trial patient …
- GSM8846862 Medalist trial patient Non-responderj1375_samp11 Medalist trial patient …
- GSM8846863 Medalist trial patient Non-responderj1375_samp12 Medalist trial patient …
- GSM8846864 Medalist trial patient Non-responderj1375_samp13 Medalist trial patient …
- GSM8846865 Medalist trial patient Non-responderj1375_samp9 Medalist trial patient …
- GSM8846866 Medalist trial patient Non-responderj1422_sampA1
- GSM8846867 Medalist trial patient Non-responderj1422_sampC1
- GSM8846868 Medalist trial patient Non-responderj1422_sampD1
- GSM8846869 Medalist trial patient Responderj1422_sampE1
- GSM8846870 Medalist trial patient Responderj1376_samp1 Medalist trial patient …
- GSM8846871 Medalist trial patient Responderj1376_samp2 Medalist trial patient …
- GSM8846872 Medalist trial patient Responderj1376_samp3 Medalist trial patient …
- GSM8846873 Medalist trial patient Responderj1376_samp4 Medalist trial patient …
- GSM8846874 Medalist trial patient Responderj1376_samp5 Medalist trial patient …
- GSM8846875 Medalist trial patient Responderj1376_samp6 Medalist trial patient …
- GSM8846876 Medalist trial patient Responderj1376_samp7 Medalist trial patient …
- GSM8846877 Medalist trial patient Responderj1376_samp8 Medalist trial patient …
- GSM8846878 Medalist trial patient Responderj1383_samp21 Medalist trial patient …
- GSM8846879 Medalist trial patient Responderj1383_samp23 Medalist trial patient …
- GSM8846880 Medalist trial patient Responderj1383_samp31 Medalist trial patient …
- GSM8846881 Medalist trial patient Responderj1383_samp33 Medalist trial patient …
- GSM8846882 Medalist trial patient Responderj1383_samp35 Medalist trial patient …
- GSM8846883 Medalist trial patient Responderj1383_samp37 Medalist trial patient …
- GSE236535 Mutations in the splicing factor SF3B1 are linked to frequent emergence of HLA-DRlow/neg monocytes in lower-risk myelodysplastic neoplasms 9 samples same disease briefing · shares myelodysplastic, splicing, factor
- GSE245452 Single-cell transcriptional profile of CD34+ hematopoietic progenitor cells from del(5q) Myelodysplastic Syndromes and impact of lenalidomide 7 samples same disease briefing · shares myelodysplastic, transcription, syndromes
- 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 myelodysplastic, syndromes
- GSE237148 Targeting IL-1b–mediated inflammatory signaling overcomes transfusion dependence in early-stage myelodysplastic syndromes 26 samples same disease briefing · shares myelodysplastic, syndromes
- GSE290183 Distinct routes of clonal progression in SF3B1-mutant myelodysplastic syndromes 15 samples same disease briefing · shares myelodysplastic, syndromes
- GSE293014 Identifying clones in myelodysplastic syndromes by using single-cell RNA sequencing 11 samples same disease briefing · shares myelodysplastic, syndromes
- GSE256396 Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower risk myelodysplastic syndromes 374 samples same disease briefing · shares myelodysplastic, syndromes
- GSE129828 DNA Methylation Identifies Genetically and Prognostically Distinct Subtypes of Myelodysplastic Syndromes 141 samples same disease briefing · shares myelodysplastic, syndromes
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.