RSK1 is an exploitable dependency in myeloid malignancies [RNA-seq]
RNA-seq (gene expression) · human · 16 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)
- Samples
- 16 samples: 5 conditions, mostly in duplicateGroups 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
- RSK1 is an exploitable dependency in myeloproliferative neoplasms and secondary acute myeloid leukemiaNature communications · 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 GSE228758_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 PRJNA951430 and SRA study SRP430505. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 16 sample titles; they account for 10 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.
- GSM7135934 HEL DMSO 1 HEL DMSO
- GSM7135935 HEL DMSO 2 HEL DMSO
- GSM7135936 HEL PMD 1 HEL PMD
- GSM7135937 HEL PMD 2 HEL PMD
- GSM7135938 MPN CD14+ Mono 1 DMSO
- GSM7135939 MPN CD14+ Mono 1 PMD
- GSM7135940 MPN CD14+ Mono 2 DMSO
- GSM7135941 MPN CD14+ Mono 2 PMD
- GSM7135942 MPN CD14+ Mono 3 DMSO
- GSM7135943 MPN CD14+ Mono 3 PMD
- GSM7135944 MV4-11 DMSO 1 MV4-11 DMSO
- GSM7135945 MV4-11 DMSO 2 MV4-11 DMSO
- GSM7135946 MV4-11 PMD 1 MV4-11 PMD
- GSM7135947 MV4-11 PMD 2 MV4-11 PMD
- GSM7135948 MV4-11 Quiz 1 MV4-11 Quiz
- GSM7135949 MV4-11 Quiz 2 MV4-11 Quiz
- GSE228759 RSK1 is an exploitable dependency in myeloid malignancies [scRNA-seq] 2 samples shares rsk1, malignancies, exploitable, dependency, myeloid, rna-seq
- GSE283710 RSK1 is an exploitable dependency in myeloid malignancies [CD34RNAseq] 90 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE283711 RSK1 is an exploitable dependency in myeloid malignancies [CD14_RNAseq] 68 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE228760 RSK1 is an exploitable dependency in myeloid malignancies. 191 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE229174 RSK1 is an exploitable dependency in myeloid malignancies [CUT&Tag] 9 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE229220 RSK1 is an exploitable dependency in myeloid malignancies [ATAC-seq] 6 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE213002 ATR/CHK1/WEE1 dependency in SRSF2-mutated myeloid malignancies 16 samples shares malignancies, dependency, myeloid
- GSE269909 Divergent medulloblastoma chromatin states disclose KDM2B as a selective dependency [RNA-Seq] 50 samples shares dependency, rna-seq
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.