CD371-Targeted CAR T-cells Secreting Interleukin-18 Exhibit Robust Expansion and Clearance of Refractory Acute Myeloid Leukemia
Single-cell RNA-seq · human · 52 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Acute myeloid leukemiaThis series is part of our curated briefing on it.
- Samples
- 52 samples: 52 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
- CD371-targeted CAR T cells secreting interleukin-18 exhibit robust expansion and clear refractory acute myeloid leukemiaBlood · 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 GSE294601_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 PRJNA1250577 and SRA study SRP578534. 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 52 sample titles: 52 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.
- GSM8912319 CLEAR1_EOP,RNA
- GSM8912320 CLEAR1_EOP,Protein
- GSM8912321 CLEAR1_D15_PBMC_biolrep1,RNA
- GSM8912322 CLEAR1_D15_PBMC_biolrep1,Protein
- GSM8912323 CLEAR1_D15_PBMC_biolrep2,RNA
- GSM8912324 CLEAR1_D15_PBMC_biolrep2,Protein
- GSM8912325 CLEAR1_D58_PBMC,RNA
- GSM8912326 CLEAR1_D58_PBMC,Protein
- GSM8912327 CLEAR1_screen_PBMC_blasts,RNA
- GSM8912328 CLEAR1_screen_PBMC_blasts,Protein
- GSM8912329 CLEAR1_screen_PBMC_lymphs,RNA
- GSM8912330 CLEAR1_screen_PBMC_lymphs,Protein
- GSM8912331 CLEAR1_D8_PBMC_biolrep1,RNA
- GSM8912332 CLEAR1_D8_PBMC_biolrep1,Protein
- GSM8912333 CLEAR1_D8_PBMC_biolrep2,RNA
- GSM8912334 CLEAR1_D8_PBMC_biolrep2,Protein
- GSM8912335 CLEAR2_D37_PBMC,RNA
- GSM8912336 CLEAR2_D37_PBMC,Protein
- GSM8912337 CLEAR2_D8_PBMC_biolrep1,RNA
- GSM8912338 CLEAR2_D8_PBMC_biolrep1,Protein
- GSM8912339 CLEAR2_D8_PBMC_biolrep2,RNA
- GSM8912340 CLEAR2_D8_PBMC_biolrep2,Protein
- GSM8912341 CLEAR2_screen_D134_PBMC_blasts,RNA
- GSM8912342 CLEAR2_screen_D134_PBMC_blasts,Protein
- GSM8912343 CLEAR2_screen_D15_D134_PBMC_lymphs_biolrep1,RNA
- GSM8912344 CLEAR2_screen_D15_D134_PBMC_lymphs_biolrep1,Protein
- GSM8912345 CLEAR2_screen_D15_D134_PBMC_lymphs_biolrep2,RNA
- GSM8912346 CLEAR2_screen_D15_D134_PBMC_lymphs_biolrep2,Protein
- GSM8912347 CLEAR3_screen_D8_D15_D28_PBMC_blasts,RNA
- GSM8912348 CLEAR3_screen_D8_D15_D28_PBMC_blasts,Protein
- GSM8912349 CLEAR3_screen_D8_D15_D28_PBMC_lymphs,RNA
- GSM8912350 CLEAR3_screen_D8_D15_D28_PBMC_lymphs,Protein
- GSM8912351 CLEAR4_screen_D38_PBMC_lymphs,RNA
- GSM8912352 CLEAR4_screen_D38_PBMC_lymphs,Protein
- GSM8912353 CLEAR4_screen_D7_D14_D38_PBMC_blasts,RNA
- GSM8912354 CLEAR4_screen_D7_D14_D38_PBMC_blasts,Protein
- GSM8912355 CLEAR5_D14_PBMC,RNA
- GSM8912356 CLEAR5_D14_PBMC,Protein
- GSM8912357 CLEAR5_D9_PBMC_biolrep1,RNA
- GSM8912358 CLEAR5_D9_PBMC_biolrep1,Protein
+ 12 more — browse all 52 samples with per-sample file links →
- GSE137851 The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia 387 samples same disease briefing · shares leukemia
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing · shares leukemia
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing · shares leukemia
- GSE303795 Halofuginone exerts broad-spectrum cytotoxic effects by regulating p-eIF2α-S100A8/A9-calcium signaling, inhibiting global protein synthesis, and reversing the resistance of idarubicin in acute myeloid leukemia 6 samples same disease briefing · shares leukemia
- GSE129437 Genome-wde mapping of BRD9 binding sites and gene expression changes upon BRD9 knockdown 6 samples same disease briefing
- GSE122515 Bonn Dataset 3 of meta-analysis on AML classification, RNAseq dataset 0 samples same disease briefing
- GSE345979 Cellular and molecular mechanisms determining allogeneic CAR T cell rejection and expansion -- Submission 2 of 2 (scRNA/CITE-seq) 12 samples shares car, expansion
- GSE318420 Immunosuppressive monocytes are enriched in hepatocellular carcinoma patients with liver dysfunction in a phase II trial of combination sorafenib and nivolumab 210 samples shares car
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.