RSK1 is an exploitable dependency in myeloid malignancies [CD14_RNAseq]
RNA-seq (gene expression) · human · 68 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
- 68 samples: 68 samples, each with a distinct title — no replicated groupsGroups 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 GSE283711_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 PRJNA1195077 and SRA study SRP549821. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 68 sample titles: 68 distinct titles with little repetition. 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.
- GSM8670206 PV1_CD14
- GSM8670207 MF1_CD14
- GSM8670208 PV2_CD14
- GSM8670209 PV3_CD14
- GSM8670210 MF2_CD14
- GSM8670211 MF3_CD14
- GSM8670212 MF4_CD14
- GSM8670213 MF5_CD14
- GSM8670214 MF6_CD14
- GSM8670215 PV4_CD14
- GSM8670216 MF7_CD14
- GSM8670217 MF8_CD14
- GSM8670218 MF9_CD14
- GSM8670219 MF10_CD14
- GSM8670220 MF11_CD14
- GSM8670221 MF12_CD14
- GSM8670222 MF31_CD14
- GSM8670223 ET1_CD14
- GSM8670224 MF13_CD14
- GSM8670225 MF14_CD14
- GSM8670226 MF15_CD14
- GSM8670227 MF17_CD14
- GSM8670228 MF18_CD14
- GSM8670229 MF19_CD14
- GSM8670230 PV7_CD14
- GSM8670231 MF20_CD14
- GSM8670232 MF21_CD14
- GSM8670233 MF32_CD14
- GSM8670234 MF22_CD14
- GSM8670235 ET2_CD14
- GSM8670236 MF23_CD14
- GSM8670237 ET10_CD14
- GSM8670238 ET3_CD14
- GSM8670239 ET4_CD14
- GSM8670240 ET5_CD14
- GSM8670241 PV5_CD14
- GSM8670242 MF24_CD14
- GSM8670243 ET6_CD14
- GSM8670244 PV6_CD14
- GSM8670245 MF25_CD14
+ 28 more — browse all 68 samples with per-sample file links →
- GSE283710 RSK1 is an exploitable dependency in myeloid malignancies [CD34RNAseq] 90 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE228758 RSK1 is an exploitable dependency in myeloid malignancies [RNA-seq] 16 samples shares rsk1, malignancies, exploitable, dependency, myeloid
- GSE228759 RSK1 is an exploitable dependency in myeloid malignancies [scRNA-seq] 2 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
- GSE281161 A phase 1 study of the CDK9 inhibitor voruciclib in relapsed/refractory acute myeloid leukemia and B-cell malignancies 31 samples shares malignancies, myeloid
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.