RSK1 is an exploitable dependency in myeloid malignancies [CD34RNAseq]
RNA-seq (gene expression) · human · 90 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
- 90 samples: 90 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 GSE283710_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 PRJNA1195078 and SRA study SRP549848. 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 90 sample titles: 90 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.
- GSM8670116 PV1_CD34
- GSM8670117 MF1_CD34
- GSM8670118 PV2_CD34
- GSM8670119 sAML1_CD34
- GSM8670120 sAML2_CD34
- GSM8670121 PV3_CD34
- GSM8670122 sAML3_CD34
- GSM8670123 sAML4_CD34
- GSM8670124 sAML5_CD34
- GSM8670125 MF2_CD34
- GSM8670126 MF3_CD34
- GSM8670127 sAML6_CD34
- GSM8670128 MF4_CD34
- GSM8670129 MF5_CD34
- GSM8670130 MF6_CD34
- GSM8670131 sAML7_CD34
- GSM8670132 PV4_CD34
- GSM8670133 sAML8_CD34
- GSM8670134 sAML9_CD34
- GSM8670135 MF7_CD34
- GSM8670136 MF8_CD34
- GSM8670137 MF9_CD34
- GSM8670138 MF10_CD34
- GSM8670139 MF11_CD34
- GSM8670140 MF12_CD34
- GSM8670141 sAML10_CD34
- GSM8670142 ET1_CD34
- GSM8670143 MF13_CD34
- GSM8670144 sAML11_CD34
- GSM8670145 sAML12_CD34
- GSM8670146 sAML13_CD34
- GSM8670147 MF14_CD34
- GSM8670148 MF15_CD34
- GSM8670149 sAML14_CD34
- GSM8670150 sAML15_CD34
- GSM8670151 MF16_CD34
- GSM8670152 sAML16_CD34
- GSM8670153 MF17_CD34
- GSM8670154 sAML17_CD34
- GSM8670155 MF18_CD34
+ 50 more — browse all 90 samples with per-sample file links →
- GSE283711 RSK1 is an exploitable dependency in myeloid malignancies [CD14_RNAseq] 68 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.