ZRSR2-loss causes aberrant splicing in a JAK2V617F-driven myeloproliferative neoplasm but is not sufficient to drive disease progression
RNA-seq (gene expression) · human · 17 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
- Myeloproliferative neoplasmsThis series is part of our curated briefing on it.
- Samples
- 17 samples
- 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
- ZRSR2 loss causes aberrant splicing in JAK2(V617F)-driven myeloproliferative neoplasm but is not sufficient to drive disease progressionHemaSphere · 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 GSE225396_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 PRJNA935389 and SRA study SRP422806. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 17 more — browse all 17 samples with per-sample file links →
- GSE277354 Genetic charcterization of myeloproliferative neoplasms (MPN) 402 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE288386 Type 2 calreticulin mutations activate ATF6 to promote BCL-xL-mediated survival in myeloproliferative neoplasms 37 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE301154 Preclinical efficacy of tasquinimod-based combinations in advanced myeloproliferative neoplasms (MPN) in blastic phase 32 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE309082 Menin-dependent megakaryocyte proliferation and fibrosis in myeloproliferative neoplasms 29 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE308705 Non-Invasive Detection of Bone Marrow Fibrosis in Myeloproliferative Neoplasms Using Cell-Free RNA 16 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE288557 ULK1 as a novel therapeutic target in Myeloproliferative Neoplasms [RNA-Seq] 12 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE288706 Mesenchymal stromal cells from JAK2V617F myeloproliferative neoplasms support healthy and malignant haematopoiesis in a humanised scaffold model in vivo 12 samples same disease briefing · shares myeloproliferative, neoplasm
- GSE277035 Pre-clinical efficacy of CDK7 inhibitor-based combinations against myeloproliferative neoplasms (MPN) transformed to AML 10 samples same disease briefing · shares myeloproliferative, neoplasm
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.