Single cell RNA sequencing of MPN patients from humans in South Korea
Single-cell RNA-seq · human · 19 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- Myeloproliferative neoplasmsThis series is part of our curated briefing on it.
- Samples
- 19 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
- Different inflammatory, fibrotic, and immunological signatures between pre-fibrotic and overt primary myelofibrosisHaematologica · 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 GSE254423_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1070224 and SRA study SRP486258. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run MPN014 … MPN136 and carry no group information.
- GSM8042096 MPN014
- GSM8042097 MPN069
- GSM8042098 MPN019
- GSM8042099 MPN038
- GSM8042100 MPN052
- GSM8042101 MPN099
- GSM8042102 MPN111
- GSM8042103 MPN015
- GSM8042104 MPN016
- GSM8042105 MPN030
- GSM8042106 MPN035
- GSM8042107 MPN060
- GSM8042108 MPN063
- GSM8042109 MPN068
- GSM8042110 MPN071
- GSM8042111 MPN098
- GSM8042112 MPN101
- GSM8042113 MPN104
- GSM8042114 MPN136
- GSE277354 Genetic charcterization of myeloproliferative neoplasms (MPN) 402 samples same disease briefing · shares mpn
- GSE301154 Preclinical efficacy of tasquinimod-based combinations in advanced myeloproliferative neoplasms (MPN) in blastic phase 32 samples same disease briefing · shares mpn
- GSE183374 HMGA1 Chromatin Regulators Drive MPN Progression [RNA-Seq] 12 samples same disease briefing · shares mpn
- GSE277035 Pre-clinical efficacy of CDK7 inhibitor-based combinations against myeloproliferative neoplasms (MPN) transformed to AML 10 samples same disease briefing · shares mpn
- GSE300505 The histone-methyltransferase DOT1L cooperates with LSD1 to control cell division in blast-phase MPN [ChIP-seq] 37 samples same disease briefing · shares mpn
- GSE240407 Chromothripsis orchestrates leukemic transformation in blast phase MPN through targetable amplification of DYRK1A 28 samples same disease briefing · shares mpn
- GSE241825 Mesenchymal stromal cell reprogramming and aberrant inflammatory signalling in myelofibrosis: insights from single-cell RNA sequencing 21 samples same disease briefing
- GSE300470 A Stem and Progenitor Cell-Derived Gene Expression Signature is Prognostic for Survival in Myelofibrosis [RNA-Seq] 358 samples same disease briefing
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.