Gene epression analyses on pre- and post-treatment samples obtained from AML patients who respond or failed to respond to Venetoclax/Decitabine treatment
RNA-seq (gene expression) · human · 26 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
- 26 samples
- 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
- PPARγ-induced upregulation of fatty acid metabolism confers resistance to venetoclax and decitabine therapy in AMLBlood neoplasia · 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 GSE270621_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 PRJNA1127576 and SRA study SRP515709. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Pt002 … Pt046 and carry no group information.
- GSM8348442 Pt002
- GSM8348443 Pt003
- GSM8348444 Pt004
- GSM8348445 Pt005
- GSM8348446 Pt008
- GSM8348447 Pt009
- GSM8348448 Pt011
- GSM8348449 Pt013
- GSM8348450 Pt014
- GSM8348451 Pt016
- GSM8348452 Pt018
- GSM8348453 Pt020
- GSM8348454 Pt023
- GSM8348455 Pt025
- GSM8348456 Pt027
- GSM8348457 Pt029
- GSM8348458 Pt031
- GSM8348459 Pt032
- GSM8348460 Pt033
- GSM8348461 Pt038
- GSM8348462 Pt039
- GSM8348463 Pt040
- GSM8348464 Pt042
- GSM8348465 Pt044
- GSM8348466 Pt045
- GSM8348467 Pt046
- GSE256353 Upregulated cholesterol biosynthesis facilitates the survival of methylation-retaining AML cells following decitabine treatment [single_colony_TEM-Seq] 1728 samples shares aml, decitabine, treatment
- GSE289786 Improved Prediction of Venetoclax and Azacitidine Efficacy in Acute Myeloid Leukemia through Machine Learning [AML patients] 142 samples shares aml, venetoclax
- GSE255245 scRNA seq data from AML PDXs throughout a cytarabine treatment, and directly from AML patients at differnet stages of disease progression 32 samples shares aml, treatment
- GSE315549 Targeting UGCG sensitizes AML cells to Venetoclax through RAB32-mediated endoplasmic reticulum-mitochondria communication 12 samples shares aml, venetoclax
- GSE289713 Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations 11 samples shares aml, treatment
- GSE280428 Targeting Polycomb for treatment of KMT2A-rearranged AML using AML-iPSCs as a model system 56 samples shares aml, treatment
- GSE296867 Post-treatment peripheral-blood T cells from HNSCC patients undergoing neoadjuvant immunotherapy treatment. 22 samples shares post-treatment, treatment
- GSE183953 Comparing PBMCs from patients with atopic dermatitis pre- and post-treatment with dupilumab 16 samples shares post-treatment, treatment
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.