RNA-seq Analysis of OCI-AML3 Cells Treated with Different Compounds
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: 5 conditions, mostly in triplicateGroups 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
- Am80 (tamibarotene) and ATRA induce highly similar molecular responses and myeloid differentiation in non-APL AML, enhanced by LSD1/GCN5 inhibition and increased RARA expressionBMC cancer · 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 GSE256476_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 PRJNA1079749 and SRA study SRP491392. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 5 replicated groups read from 16 sample titles; they account for 16 of them. 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.
- GSM8099033 RNA-SeqofOCI-AML3:AM80,Repeat1 AM80,Repeat
- GSM8099034 RNA-SeqofOCI-AML3:AM80,Repeat2 AM80,Repeat
- GSM8099035 RNA-SeqofOCI-AML3:AM80,Repeat3 AM80,Repeat
- GSM8099036 RNA-SeqofOCI-AML3:AM80_GSK-LSD1_MB3,Repeat1 AM80_GSK-LSD1_MB3,Repeat
- GSM8099037 RNA-SeqofOCI-AML3:AM80_GSK-LSD1_MB3,Repeat2 AM80_GSK-LSD1_MB3,Repeat
- GSM8099038 RNA-SeqofOCI-AML3:AM80_GSK-LSD1_MB3,Repeat3 AM80_GSK-LSD1_MB3,Repeat
- GSM8099039 RNA-SeqofOCI-AML3:ATRA,Repeat1 ATRA,Repeat
- GSM8099040 RNA-SeqofOCI-AML3:ATRA,Repeat2 ATRA,Repeat
- GSM8099041 RNA-SeqofOCI-AML3:ATRA,Repeat3 ATRA,Repeat
- GSM8099042 RNA-SeqofOCI-AML3:ATRA_GSK-LSD1_MB3,Repeat1 ATRA_GSK-LSD1_MB3,Repeat
- GSM8099043 RNA-SeqofOCI-AML3:ATRA_GSK-LSD1_MB3,Repeat2 ATRA_GSK-LSD1_MB3,Repeat
- GSM8099044 RNA-SeqofOCI-AML3:ATRA_GSK-LSD1_MB3,Repeat3 ATRA_GSK-LSD1_MB3,Repeat
- GSM8099045 RNA-SeqofOCI-AML3:Untreated,Repeat1 Untreated,Repeat
- GSM8099046 RNA-SeqofOCI-AML3:Untreated,Repeat2 Untreated,Repeat
- GSM8099047 RNA-SeqofOCI-AML3:Untreated,Repeat3 Untreated,Repeat
- GSM8099048 RNA-SeqofOCI-AML3:Untreated,Repeat4 Untreated,Repeat
- GSE245414 RNA-seq profiling of breast metastases from different sites 42 samples shares different, rna-seq
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares rna-seq, treated
- GSE310797 Single cell and Spatial RNA-seq in Oral Squamous Cell Carcinoma with Different Stage 19 samples shares different, rna-seq
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares rna-seq
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares rna-seq
- GSE222556 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors [10x scRNA-seq] 67 samples shares rna-seq
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
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.