Intermediate cryopreservation and transcriptomic profiling as strategy to identify optimal donors for functional NK cell expansion for AML immunotherapy
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: 16 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
- Advancing acute myeloid leukemia immunotherapy: transcriptomic profiling-guided donor selection combined with an innovative natural killer cell expansion protocolCytotherapy · 2026
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 GSE309309_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 PRJNA1335126 and SRA study SRP627953. 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 16 sample titles: 16 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.
- GSM9264683 Nk 4-0613 A
- GSM9264684 NK 4-0613 B
- GSM9264685 NK 4-0613 C
- GSM9264686 Nk 4-0617 B
- GSM9264687 Nk 4-0617 C
- GSM9264688 NK 4-0730 A
- GSM9264689 NK 4-0730 B
- GSM9264690 NK 4-0730 C
- GSM9264691 NK 4-0904 C
- GSM9264692 NK 4-0910 B
- GSM9264693 NK 4-0910 C
- GSM9264694 NK 4-0925 A
- GSM9264695 NK 4-0925 B
- GSM9264696 NK 4-0925 C
- GSM9264697 NK 4-1007 B
- GSM9264698 NK 4-1007 C
- GSE264695 Neoadjuvant anti-PD1 immunotherapy for surgically accessible recurrent glioblastoma: clinical and molecular outcomes of a stage 2 single-arm expansion cohort 20 samples shares immunotherapy, expansion
- GSE139555 Peripheral clonal expansion of T lymphocytes associates with tumour infiltration and response to cancer immunotherapy 32 samples shares immunotherapy, expansion
- GSE232130 Leucegene: AML sequencing (GRCh38 reference) 691 samples shares aml
- GSE232129 Leucegene: AML sequencing (part 1-6, GRCh38 reference) 452 samples shares aml
- GSE297413 Genomic and transcriptomic determinants of clinical outcomes in patients with AML and DNMT3A mutations 264 samples shares aml
- GSE289786 Improved Prediction of Venetoclax and Azacitidine Efficacy in Acute Myeloid Leukemia through Machine Learning [AML patients] 142 samples shares aml
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares aml
- GSE338135 NRAS knockdown reverses monocytic cell state and resensitizes resistant FLT3-AML cells to gilteritinib 75 samples shares aml
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.