Systematic evaluation of GAPs and GEFs identifies ARHGAP45 as a targetable leukemia-specific RhoGAP dependency
RNA-seq (gene expression) · human · 15 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
- 15 samples: 15 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
- Systematic Evaluation of GAPs and GEFs Identifies a Targetable Dependency for Hematopoietic MalignanciesCancer discovery · 2025
Read the full summary ↓
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 GSE273164_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 PRJNA1140357 and SRA study SRP522331. 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 15 sample titles: 15 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.
- GSM8423245 Sequencing Pool 1,RNA
- GSM8423246 Sequencing Pool 1,ADT
- GSM8423247 Sequencing Pool 1,HTO
- GSM8423248 Sequencing Pool 2,RNA
- GSM8423249 Sequencing Pool 2,ADT
- GSM8423250 Sequencing Pool 2,HTO
- GSM8423251 Sequencing Pool 3,RNA
- GSM8423252 Sequencing Pool 3,ADT
- GSM8423253 Sequencing Pool 3,HTO
- GSM8423254 Sequencing Pool 4,RNA
- GSM8423255 Sequencing Pool 4,ADT
- GSM8423256 Sequencing Pool 4,HTO
- GSM8423257 Sequencing Pool 5,RNA
- GSM8423258 Sequencing Pool 5,ADT
- GSM8423259 Sequencing Pool 5,HTO
- GSE254212 Integration of ATAC-seq and RNA-seq identifies typing and prognosis evaluation target molecules of triple negative breast cancer 19 samples shares evaluation, identifies
- GSE268874 Gene expression change after inactivation of ARHGAP45 by CRISPR-Cas9 and/or treatment of MBQ-167 44 samples shares arhgap45
- GSE279285 Systematic characterization of the composition and dynamics of processing body-associated mRNAs 597 samples shares systematic
- GSE279284 Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 2] 131 samples shares systematic
- GSE293514 Development of a split-toxin CRISPR screening platform to systematically identify upstream regulators of human myoblast fusion 57 samples shares systematic
- GSE159749 A systematic dissection of determinants and consequences of snoRNA-guided pseudouridylation of human mRNA 44 samples shares systematic
- GSE241685 Systematic identification and characterization of Exon-intron circRNAs in the human transcriptome 34 samples shares systematic
- GSE319266 Identification of target genes and regulatory networks for bone mineral density GWAS loci through systematic targeting and inhibition [hFOB BMD STING-seq] 24 samples shares systematic
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.